HR job title
- Retired Professor
- Contact Info
- 1 979 862 2275
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Amato, Nancy Professor - Term Appointment
Positions
- Professor - Term Appointment, Computer Science and Engineering, College of Engineering
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Overview
Publications
selected publications
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academic article
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Adams, M. P., Adams, M. L., Hawkins, W. D., Smith, T., Rauchwerger, L., Amato, N. M., ... Brown, P.
(2020).
Provably Optimal Parallel Transport Sweeps on Semi-Structured Grids. Journal of Computational Physics.
407, 109234-109234.
-
Motes, J., Sandstrom, R., Adams, W., Ogunyale, T., Thomas, S., & Amato, N. M.
(2019).
Interaction Templates for Multi-Robot Systems. IEEE Robotics and Automation Letters.
4(3), 2926-2933.
-
Agha-mohammadi, A., Agarwal, S., Kim, S., Chakravorty, S., & Amato, N. M.
(2018).
SLAP: Simultaneous Localization and Planning Under Uncertainty via Dynamic Replanning in Belief Space. IEEE Transactions on Robotics.
34(5), 1195-1214.
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Amato, N. M., Brock, O., Morales, M., & Thomas, S.
(2018).
Special issue on "Robotics: Science and Systems", 2016. Autonomous Robots.
42(7), 1299-1300.
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Amato, N. M., Ekenna, C., Thomas, S., & Roy, N.
(2018).
Editorial. International Journal of Robotics Research.
37(10), 1115-1116.
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McMahon, T., Thomas, S., & Amato, N. M.
(2018).
Sampling-based motion planning with reachable volumes for high-degree-of-freedom manipulators. International Journal of Robotics Research.
37(7), 779-817.
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Burge, J. D., & Amato, N. M.
(2016).
CREU & DREU. ACM Inroads.
7(4), 81-83.
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Akin, H. L., Amato, N. M., Isler, V., & van der Stappen, A. F.
(2016).
Special Issue on the Eleventh Workshop on the Algorithmic Foundations of Robotics, 2014. International Journal of Robotics Research.
35(5), 437-437.
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van der Stappen, A. F., Akin, H. L., Amato, N. M., & Isler, V.
(2016).
Special Section on the 11th Workshop on the Algorithmic Foundations of Robotics (WAFR 2014). IEEE Transactions on Automation Science and Engineering.
13(2), 414-414.
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van der Stappen, A. F., Akin, H. L., Amato, N. M., & Isler, V.
(2015).
Special Section on the 2014 Workshop on the Algorithmic Foundations of Robotics. IEEE Transactions on Automation Science and Engineering.
12(4), 1297-1297.
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Ekenna, C. W., Thomas, S., & Amato, N. M.
(2015).
Adaptive Local Learning in Sampling Based Motion Planning for Protein Folding. Proceedings. IEEE International Conference on Bioinformatics and Biomedicine.
10(Suppl 2), 61-68.
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Agha-mohammadi, A., Chakravorty, S., & Amato, N. M.
(2014).
FIRM: Sampling-based feedback motion-planning under motion uncertainty and imperfect measurements. International Journal of Robotics Research.
33(2), 268-304.
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Tomkins, D., Smith, T., Amato, N. M., Rauchwerger, L., & Machinery, A. C.
(2014).
SCCMulti An Improved Parallel Strongly Connected Components Algorithm. ACM SIGPLAN NOTICES.
49(8), 393-394.
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Ghosh, M., Amato, N. M., Lu, Y., & Lien, J.
(2013).
Fast approximate convex decomposition using relative concavity. Computer Aided Design.
45(2), 494-504.
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Lu, Y., Lien, J., Ghosh, M., & Amato, N. M.
(2012).
alpha-Decomposition of polygons. Computers and Graphics (UK).
36(5), 466-476.
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Tanase, G., Buss, A., Fidel, A., Harshvardhan, .., Papadopoulos, I., Pearce, O., ... Rauchwerger, L.
(2011).
The STAPL Parallel Container Framework. ACM SIGPLAN NOTICES.
46(8), 235-245.
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Drake, R. P., Doss, F. W., McClarren, R. G., Adams, M. L., Amato, N., Bingham, D., ... Visco, A. J.
(2011).
Radiative effects in radiative shocks in shock tubes. High Energy Density Physics.
7(3), 130-140.
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Tang, X., Thomas, S., Coleman, P., & Amato, N. M.
(2010).
Reachable Distance Space: Efficient Sampling-Based Planning for Spatially Constrained Systems. International Journal of Robotics Research.
29(7), 916-934.
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Tang, X., Thomas, S., Tapia, L., Giedroc, D. P., & Amato, N. M.
(2009).
Simulating RNA Folding Kinetics on Approximated Energy Landscapes (vol 381, pg 1055, 2008). Journal of Molecular Biology.
387(2), 522-522.
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Akella, S., Amato, N. M., Huang, W., & Mishra, B.
(2008).
Special Issue on the Seventh International Workshop on Algorithmic Foundations of Robotics. International Journal of Robotics Research.
27(11-12), 1173-1174.
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Amato, N. M., Lee, D., & Pietracaprina, A.
(2008).
Untitled. Theoretical Computer Science.
408(2-3), 97-98.
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Tang, X., Thomas, S., Tapia, L., Giedroc, D. P., & Amato, N. M.
(2008).
Simulating RNA folding kinetics on approximated energy landscapes. Journal of Molecular Biology.
381(4), 1055-1067.
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Aluru, S., Amato, N. M., & Bader, D. A.
(2006).
Editorial: Special section on high-performance computational biology. IEEE Transactions on Parallel and Distributed Systems.
17(8), 737-739.
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Pollack, M. E., Hambrusch, S. E., Ellis, C. S., Grosz, B. J., Hodgins, J., Bajcsy, R., ... Soffa, M. L.
(2006).
Computing: report leaps geographical barriers but stumbles over gender. Nature.
441(7089), 25-25.
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Rauchwerger, L., & Amato, N. M.
(2006).
SmartApps: middle-ware for adaptive applications on reconfigurable platforms. Operating Systems Review.
40(2), 73-82.
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Amato, N. M., Bonarini, A., Groen, F., & Yoshida, E.
(2006).
Intelligent autonomous systems (IAS-8). Robotics and Autonomous Systems.
54(2), 95-96.
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Lee, D. T., Amato, N. M., Chang, S. F., Chen, H. H., Chen, T., Hsu, T. S., ... Yen, J.
(2005).
Journal of Information Science and Engineering: Editorial notice. Journal of Information Science and Engineering.
21(5),
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Walter, J. E., Tsai, E. M., & Amato, N. M.
(2005).
Algorithms for fast concurrent reconfiguration of hexagonal metamorphic robots. IEEE Transactions on Robotics.
21(4), 621-631.
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Iyer, R., Perdue, J., Rauchwerger, L., Amato, N. M., & Bhuyan, L.
(2005).
An experimental evaluation of the HP V-Class and SGI Origin 2000 multiprocessors using microbenchmarks and scientific applications. International Journal of Parallel Programming.
33(4), 307-350.
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Chirikjian, G., Amato, N. M., & Kavraki, L. E.
(2005).
Special issue on robotics techniques applied to computational biology. International Journal of Robotics Research.
24(2-3), 107-107.
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Son, W., Kim, K., Amato, N. M., & Trinkle, J. C.
(2004).
A generalized framework for interactive dynamic simulation for MultiRigid bodies. IEEE Transactions on Cybernetics.
34(2), 912-924.
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Walter, J. E., Welch, J. L., & Amato, N. M.
(2004).
Distributed reconfiguration of metamorphic robot chains. Distributed Computing.
17(2), 171-189.
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Lien, J. M., Morales, M., & Amato, N. M.
(2003).
Neuron PRM: a framework for constructing cortical networks. Neurocomputing.
52-4, 191-197.
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Song, G., Thomas, S., Dill, K. A., Scholtz, J. M., & Amato, N. M.
(2003).
A path planning-based study of protein folding with a case study of hairpin formation in protein G and L. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.
240-251.
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Walter, J. E., Tsai, E. M., & Amato, N. M.
(2002).
Choosing Good Paths for Fast Distributed Reconfiguration of Hexagonal Metamorphic Robots. IEEE International Conference on Robotics and Automation.
1, 102-109.
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Bayazit, O. B., Song, G., & Amato, N. M.
(2001).
Enhancing randomized motion planners: Exploring with haptic hints. Autonomous Robots.
10(2), 163-174.
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Vallejo, D., Remmler, I., & Amato, N. M.
(2001).
An Adaptive Framework for Single Shot Motion Planning: A Self-Tuning System for Rigid and Articulated Robots. IEEE International Conference on Robotics and Automation.
1, 21-26.
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Amato, N. M., Bayazit, O. B., Dale, L. K., Jones, C., & Vallejo, D.
(2000).
Choosing good distance metrics and local planners for probabilistic roadmap methods. IEEE Transactions on Automation Science and Engineering.
16(4), 442-447.
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Amato, N. M., Perdue, J., Pietracaprina, A., Pucci, G., & Mathis, M.
(2000).
Predicting performance on SMPs. A case study: The SGI Power Challenge. Proceedings of the International Parallel Processing Symposium, IPPS.
729-737.
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Wilmarth, S. A., Amato, N. M., & Stiller, P. F.
(1999).
Motion planning for a rigid body using random networks on the medial axis of the free space. 173-180.
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Tamassia, R.
(1996).
Strategic directions in computational geometry. ACM Computing Surveys.
28(4), 591-606.
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Rauchwerger, L., Amato, N. M., & Padua, D. A.
(1995).
A scalable method for run-time loop parallelization. International Journal of Parallel Programming.
23(6), 537-576.
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AMATO, N. M., & PREPARATA, F. P.
(1995).
A TIME-OPTIMAL PARALLEL ALGORITHM FOR 3-DIMENSIONAL CONVEX HULLS. Algorithmica: an international journal in computer science.
14(2), 169-182.
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AMATO, N. M.
(1995).
FINDING A CLOSEST VISIBLE VERTEX PAIR BETWEEN 2 POLYGONS. Algorithmica: an international journal in computer science.
14(2), 183-201.
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Amato, N.
(1993).
Improved processor bounds for parallel algorithms for weighted directed graphs. Information Processing Letters.
45(3), 147-152.
-
Amato, N., Blum, M., Irani, S., & Rubinfeld, R.
(1989).
Reversing trains: A turn of the century sorting problem. Journal of Algorithms in Cognition, Informatics and Logic.
10(3), 413-428.
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Adams, M. P., Adams, M. L., Hawkins, W. D., Smith, T., Rauchwerger, L., Amato, N. M., ... Brown, P.
(2020).
Provably Optimal Parallel Transport Sweeps on Semi-Structured Grids. Journal of Computational Physics.
407, 109234-109234.
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book
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Levent Akin, H., Amato, N. M., Isler, V., & Van der Stappen, A. F.
(2015).
Preface. Ed. 107.
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Akella, S., Amato, N. M., Huang, W. H., & Mishra, B.
(2008).
Springer Tracts in Advanced Robotics: Preface. Ed. 47.
-
Levent Akin, H., Amato, N. M., Isler, V., & Van der Stappen, A. F.
(2015).
Preface. Ed. 107.
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conference paper
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Pauanshetti, S., Sandstrom, R., Kottala, A., Amato, N. M., & Ryu, S. C.
(2019).
Feasibility Study of Robotic Needles with a Rotational Tip-Joint and Notch Patterns. IEEE International Conference on Robotics and Automation.
1534-1540.
-
McMahon, T., Jenkins, O. C., & Amato, N.
(2018).
Affordance Wayfields for Task and Motion Planning. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
2955-2962.
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Ebinger, T., Kaden, S., Thomas, S., Andre, R., Amato, N. M., & Thomas, U.
(2018).
A General and Flexible Search Framework for Disassembly Planning. IEEE International Conference on Robotics and Automation.
3548-3555.
-
Sandstrom, R., Bregger, A., Smith, B., Thomas, S., & Amato, N. M.
(2018).
Topological Nearest-Neighbor Filtering for Sampling-Based Planners. IEEE International Conference on Robotics and Automation.
3053-3060.
-
Denny, J., Sandstrom, R., & Amato, N. M.
(2018).
A General Region-Based Framework for Collaborative Planning. ROBOTICS RESEARCH, VOL 2.
563-579.
-
McMahon, T., Sandstrm, R., Thomas, S., & Amato, N. M.
(2017).
Manipulation Planning with Directed Reachable Volumes. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4026-4033.
-
Fidel, A., Sabido, F. C., Riedel, C., Amato, N. M., & Rauchwerger, L.
(2017).
Fast Approximate Distance Queries in Unweighted Graphs Using Bounded Asynchrony. Lecture Notes in Artificial Intelligence.
40-54.
-
Rodriguez, S., Morales, M., & Amato, N. M.
(2016).
Multi-Agent Push Behaviors for Large Sets of Passive Objects. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4437-4442.
-
Denny, J., Colbert, J., Qin, H., & Amato, N. M.
(2016).
On the Theory of User-guided Planning. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4794-4801.
-
Ekenna, C., Thomas, S., & Amato, N. M.
(2016).
Adaptive local learning in sampling based motion planning for protein folding. BMC Systems Biology.
49.
-
Mishra, S., Rodriguez, S., Morales, M., & Amato, N. M.
(2016).
Battery-Constrained Coverage. IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering.
695-700.
-
Pearce, O., Gamblin, T., de Supinski, B. R., Schulz, M., & Amato, N. M.
(2016).
MPMD Framework for Offloading Load Balance Computation. Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS.
943-952.
-
Ghosh, M., Thomas, S., Morales, M., Rodriguez, S., & Amato, N. M.
(2016).
Motion Planning using Hierarchical Aggregation of Workspace Obstacles. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
5716-5721.
-
Papadopoulos, I., Thomas, N., Fidel, A., Hoxha, D., Amato, N. M., & Rauchwerger, L.
(2016).
Asynchronous Nested Parallelism for Dynamic Applications in Distributed Memory. Lecture Notes in Artificial Intelligence.
106-121.
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Harshvardhan, .., Amato, N. M., & Rauchwerger, L.
(2015).
A Hierarchical Approach to Reducing Communication in Parallel Graph Algorithms. ACM SIGPLAN NOTICES.
285-286.
-
Harshvardhan, .., Fidel, A., Amato, N. M., & Rauchwerger, L.
(2015).
An Algorithmic Approach to Communication Reduction in Parallel Graph Algorithms. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT.
201-212.
-
Parker, L., & Amato, N. M.
(2015).
IEEE ICRA 2015-Celebrating the Diversity of Robots and Roboticists [Society News]. IEEE Robotics and Automation magazine.
168-170.
-
Zandifar, M., Jabbar, M. A., Majidi, A., Keyes, D., Amato, N. M., & Rauchwerger, L.
(2015).
Composing Algorithmic Skeletons to Express High-Performance Scientific Applications. 415-424.
-
Papadopoulos, I., Thomas, N., Fidel, A., Amato, N. M., & Rauchwerger, L.
(2015).
STAPL-RTS: An Application Driven Runtime System. 425-434.
-
Harshvardhan, .., West, B., Fidel, A., Amato, N. M., & Rauchwerger, L.
(2015).
A Hybrid Approach To Processing Big Data Graphs on Memory-Restricted Systems. Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS.
799-808.
-
Amato, N. M., Libeskind-Hadas, R., & Metaxas, P. T.
(2015).
CRA-E Panel on Undergraduate Research. 113-115.
-
Pearce, O., Gamblin, T., de Supinski, B. R., Schulz, M., & Amato, N. M.
(2015).
Decoupled Load Balancing. ACM SIGPLAN NOTICES.
267-268.
-
Ekenna, C., Thomas, S., & Amato, N. M.
(2015).
Adaptive Local Learning in Sampling Based Motion Planning for Protein Folding. 61-68.
-
Yeh, H., Lindsey, A., Wu, C., Thomas, S., & Amato, N. M.
(2015).
Decoy Database Improvement for Protein Folding. Journal of Computational Biology.
823-836.
-
McMahon, T., Thomas, S., & Amato, N. M.
(2015).
Reachable Volume RRT. IEEE International Conference on Robotics and Automation.
2977-2984.
-
Yeh, H., Thomas, S., & Amato, N. M.
(2015).
Using motion planning to rank ligand binding affinity. 529-530.
-
Denny, J., Sandstrom, R., Julian, N., & Amato, N. M.
(2015).
A Region-Based Strategy for Collaborative Roadmap Construction. Springer Tracts in Advanced Robotics.
125-141.
-
Levent Akin, H., Amato, N. M., Isler, V., & Van Der Stappen, A. F.
(2015).
Algorithmic Foundations of Robotics XI. Springer Tracts in Advanced Robotics.
-
Ekenna, C., Uwacu, D., Thomas, S., & Amato, N. M.
(2015).
Improved Roadmap Connection via Local Learning for Sampling Based Planners. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
3227-3234.
-
Zandifar, M., Thomas, N., Amato, N. M., & Rauchwerger, L.
(2015).
The STAPL Skeleton Framework. Lecture Notes in Artificial Intelligence.
176-190.
-
Pearce, R., Gokhale, M., & Amato, N. M.
(2014).
Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex Delegates. International Conference for High Performance Computing, Networking, Storage and Analysis, SC.
549-559.
-
Fidel, A., Amato, N. M., & Rauchwerger, L.
(2014).
From Petascale to the Pocket: Adaptively Scaling Parallel Programs for Mobile SoCs. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT.
511-512.
-
Rauchwerger, L.
(2014).
KLA: A New Algorithmic Paradigm for Parallel Graph Computations. Lecture Notes in Artificial Intelligence.
27-38.
-
Harshvardhan, .., Fidel, A., Amato, N. M., & Rauchwerger, L.
(2014).
KLA: A New Algorithmic Paradigm for Parallel Graph Computations. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT.
27-38.
-
Harshvardhan, .., Amato, N. M., & Rauchwerger, L.
(2014).
Processing Big Data Graphs on Memory-Restricted Systems. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT.
517-518.
-
Agha-mohammadi, A., Agarwal, S., Mahadevan, A., Chakravorty, S., Tomkins, D., Denny, J., & Amato, N. M.
(2014).
Robust Online Belief Space Planning in Changing Environments: Application to Physical Mobile Robots. IEEE International Conference on Robotics and Automation.
149-156.
-
Denny, J., Greco, E., Thomas, S., & Amato, N. M.
(2014).
MARRT: Medial Axis Biased Rapidly-Exploring Random Trees. IEEE International Conference on Robotics and Automation.
90-97.
-
Giese, A., Latypov, D., & Amato, N. M.
(2014).
Reciprocally-Rotating Velocity Obstacles. IEEE International Conference on Robotics and Automation.
3234-3241.
-
McMahon, T., Thomas, S., & Amato, N. M.
(2014).
Sampling-Based Motion Planning with Reachable Volumes: Theoretical Foundations. IEEE International Conference on Robotics and Automation.
6514-6521.
-
Yeh, H., Denny, J., Lindsey, A., Thomas, S., & Amato, N. M.
(2014).
UMAPRM: Uniformly Sampling the Medial Axis. IEEE International Conference on Robotics and Automation.
5798-5803.
-
Fidel, A., Jacobs, S. A., Sharma, S., Amato, N. M., & Rauchwerger, L.
(2014).
Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms. Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS.
573-582.
-
Lindsey, A., Yeh, H., Wu, C., Thomas, S., & Amato, N. M.
(2014).
Improving decoy databases for protein folding algorithms. 717-724.
-
Pearce, O., Gamblin, T., de Supinski, B. R., Arsenlis, T., & Amato, N. M.
(2014).
Load Balancing N-Body Simulations with Highly Non-Uniform Density. 113-122.
-
Shi, K., Denny, J., & Amato, N. M.
(2014).
Spark PRM: Using RRTs Within PRMs to Efficiently Explore Narrow Passages. IEEE International Conference on Robotics and Automation.
4659-4666.
-
Jacobs, S. A., & Amato, N. M.
(2014).
The Anatomy of a Distributed Motion Planning Roadmap. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
3019-3026.
-
Shapiro, A., Amato, N. M., Hodgins, J., & Rodriguez, S.
(2014).
Preface. 6.
-
McMahon, T., Thomas, S., & Amato, N. M.
(2014).
Sampling Based Motion Planning with Reachable Volumes: Application to Manipulators and Closed Chain Systems. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
3705-3712.
-
Hawkins, W. D., Bailey, T. S., Adams, M. L., Brown, P. N., Kunen, A. J., Adams, M. P., ... Rauchwerger, L.
(2014).
Validation of full-domain massively parallel transport sweep algorithms. Transactions of the American Nuclear Society.
699-702.
-
Harshvardhan, .., Fidel, A., Amato, N. M., & Rauchwerger, L.
(2013).
The STAPL Parallel Graph Library. Lecture Notes in Artificial Intelligence.
46-60.
-
Denny, J., Morales, M., Rodriguez, S., & Amato, N. M.
(2013).
Adapting RRT Growth for Heterogeneous Environments. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
1772-1778.
-
Rodriguez, S., Giese, A., & Amato, N. M.
(2013).
Improving Aggregate Behavior in Parking Lots with Appropriate Local Maneuvers. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
3843-3850.
-
Denny, J., Giese, A., Mahadevan, A., Marfaing, A., Glockenmeier, R., Revia, C., Rodriguez, S., & Amato, N. M.
(2013).
Multi-Robot Caravanning. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
5722-5729.
-
Rodriguez, S., Zhang, Y., Gans, N., & Amato, N. M.
(2013).
Optimizing Aspects of Pedestrian Traffic in Building Designs. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
1327-1334.
-
Denny, J., Shi, K., & Amato, N. M.
(2013).
Lazy Toggle PRM: A Single-Query Approach to Motion Planning. IEEE International Conference on Robotics and Automation.
2407-2414.
-
Pearce, R., Gokhale, M., & Amato, N. M.
(2013).
Scaling Techniques for Massive Scale-Free Graphs in Distributed (External) Memory. Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS.
825-836.
-
Jacobs, S. A., Stradford, N., Rodriguez, C., Thomas, S., & Amato, N. M.
(2013).
A Scalable Distributed RRT for Motion Planning. IEEE International Conference on Robotics and Automation.
5088-5095.
-
Ekenna, C., Jacobs, S. A., Thomas, S., & Amato, N. M.
(2013).
Adaptive Neighbor Connection for PRMs: A Natural Fit for Heterogeneous Environments and Parallelism. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
1249-1256.
-
Rodriguez, C., Denny, J., Jacobs, S. A., Thomas, S., & Amato, N. M.
(2013).
Blind RRT: A Probabilistically Complete Distributed RRT. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
1758-1765.
-
Agha-mohammadi, A., Chakravorty, S., & Amato, N. M.
(2013).
Graph-based Stochastic Control with Constraints: A Unified Approach with Perfect and Imperfect Measurements. Proceedings of the ... American Control Conference. American Control Conference.
4581-4586.
-
Thomas, S., Tapia, L., Ekenna, C., Yeh, H. Y., & Amato, N. M.
(2013).
Rigidity analysis for protein motion and folding core identification. 38-43.
-
Denny, J., & Amatoo, N. M.
(2013).
Toggle PRM: A Coordinated Mapping of C-Free and C-Obstacle in Arbitrary Dimension. Springer Tracts in Advanced Robotics.
297-312.
-
Hawkins, W. D., Smith, T., Adams, M. P., Rauchwerger, L., Amato, N., & Adams, M. L.
(2012).
Efficient massively parallel transport sweeps. Transactions of the American Nuclear Society.
477-481.
-
Rodriguez, S., Giese, A., Amato, N. M., Zarrinmehr, S., Al-Douri, F., & Clayton, M. J.
(2012).
Environmental effect on egress simulation. Lecture Notes in Artificial Intelligence.
7-18.
-
Nath, S. K., Thomas, S., Ekenna, C., & Amato, N. M.
(2012).
A multi-directional rapidly exploring random graph (mRRG) for protein folding. 44-51.
-
McMahon, T., Jacobs, S., Boyd, B., Tapia, L., & Amato, N. M.
(2012).
Local Randomization in Neighbor Selection Improves PRM Roadmap Quality. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4441-4448.
-
Mahadevan, A., & Amato, N. M.
(2012).
A Sampling-Based Approach to Probabilistic Pursuit Evasion. IEEE International Conference on Robotics and Automation.
3192-3199.
-
Jacobs, S. A., Manavi, K., Burgos, J., Denny, J., Thomas, S., & Amato, N. M.
(2012).
A Scalable Method for Parallelizing Sampling-Based Motion Planning Algorithms. IEEE International Conference on Robotics and Automation.
2529-2536.
-
Agha-mohammadi, A., Chakravorty, S., & Amato, N. M.
(2012).
On the Probabilistic Completeness of the Sampling-based Feedback Motion Planners in Belief Space. IEEE International Conference on Robotics and Automation.
3983-3990.
-
Denny, J., & Amato, N. M.
(2012).
The Toggle Local Planner for Sampling-Based Motion Planning. IEEE International Conference on Robotics and Automation.
1779-1786.
-
Pearce, O., Gamblin, T., de Supinski, B. R., Schulz, M., & Amato, N. M.
(2012).
Quantifying the effectiveness of load balance algorithms. 185-194.
-
Agha-mohammadi, A., Chakravorty, S., & Amato, N. M.
(2012).
Sampling-based Nonholonomic Motion Planning in Belief Space via Dynamic Feedback Linearization-based FIRM. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4433-4440.
-
Yeh, H., Thomas, S., Eppstein, D., & Amato, N. M.
(2012).
UOBPRM: A Uniformly Distributed Obstacle-Based PRM. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
2655-2662.
-
Rodriguez, S., & Amato, N. M.
(2011).
Roadmap-Based Level Clearing of Buildings. Lecture Notes in Artificial Intelligence.
340-352.
-
Agha-Mohammadi, A., Chakravorty, S., & Amato, N. M.
(2011).
FIRM: Feedback controller-based Information-state Roadmap - A framework for motion planning under uncertainty -. 4284-4291.
-
Denny, J., & Amato, N. M.
(2011).
Toggle PRM: Simultaneous Mapping of C-free and C-obstacle - A Study in 2D. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
2632-2639.
-
Rodriguez, S., Denny, J., Burgos, J., Mahadevan, A., Manavi, K., Murray, L., ... Amato, N. M.
(2011).
Toward Realistic Pursuit-Evasion Using a Roadmap-Based Approach. IEEE International Conference on Robotics and Automation.
1738-1745.
-
Buss, A., Fidel, A., Harshvardhan, .., Smith, T., Tanase, G., Thomas, N., ... Rauchwerger, L.
(2011).
The STAPL pView. Lecture Notes in Artificial Intelligence.
261-275.
-
Jacobs, S. A., & Amato, N. M.
(2011).
ACM SRC poster: from days to seconds: scalable parallel algorithm for motion planning. 109-110.
-
Agha-mohammadi, A., Chakravorty, S., & Amato, N. M.
(2011).
FIRM: Feedback Controller-Based Information-State Roadmap - A Framework for Motion Planning Under Uncertainty. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4284-4291.
-
Rodriguez, S., Denny, J., Zourntos, T., & Amato, N. M.
(2010).
Toward Simulating Realistic Pursuit-Evasion Using a Roadmap-Based Approach. Lecture Notes in Artificial Intelligence.
82-93.
-
Pearce, R., Gokhale, M., & Amato, N. M.
(2010).
Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory. 1-11.
-
Tanase, G., Xu, X., Buss, A., Harshvardhan, .., Papadopoulos, I., Pearce, O., ... Rauchwerger, L.
(2010).
The STAPL pList. Lecture Notes in Artificial Intelligence.
16-30.
-
Rodriguez, S., & Amato, N. M.
(2010).
Behavior-Based Evacuation Planning. IEEE International Conference on Robotics and Automation.
350-355.
-
Tang, X., Thomas, S., & Amato, N. M.
(2010).
Planning with Reachable Distances. Springer Tracts in Advanced Robotics.
517-+.
-
Buss, A., Harshvardhan, .., Papadopoulos, I., Pearce, O., Smith, T., Tanase, G., ... Rauchwerger, L.
(2010).
STAPL: standard template adaptive parallel library. 14.
-
Tapia, L., Thomas, S., Boyd, B., & Amato, N. M.
(2009).
An Unsupervised Adaptive Strategy for Constructing Probabilistic Roadmaps. IEEE International Conference on Robotics and Automation.
2300-2307.
-
Tapia, L., Thomas, S., Boyd, B., & Amato, N. M.
(2009).
An Unsupervised Adaptive Strategy for Constructing Probabilistic Roadmaps* *This research supported in part by NSF Grants EIA-0103742, ACR-0081510, ACR-0113971, CCR-0113974, ACI-0326350, CRI-0551685, CCF-0833199, CCF-0830753, by the DOE, Chevron, IBM, Intel, HP, and by King Abdullah University of Science and Technology (KAUST) Award KUS-C1-016-04. Tapia supported in part by an NIH Molecular Biophysics Training Grant (T32GM065088), a PEO scholarship, and by a Department of Education (GAANN) Fellowship. Thomas supported in part by an NSF Graduate Research Fellowship, a PEO scholarship, a Dept. of Education Graduate Fellowship (GAANN), and an IBM TJ Watson PhD Fellowship. IEEE International Conference on Robotics and Automation.
4037-4044.
-
Pearce, R., Morales, M., & Amato, N. M.
(2009).
Structural improvement filtering strategy for PRM. Robotics: Science and Systems.
167-174.
-
Buss, A. A., Smith, T. G., Tanase, G., Thomas, N. L., Bianco, M., Amato, N. M., & Rauchwerger, L.
(2008).
Design for Interoperability in STAPL: pMatrices and Linear Algebra Algorithms. Lecture Notes in Artificial Intelligence.
304-315.
-
Xie, D., Morales, M., Pearce, R., Thomas, S., Lien, J., & Amato, N. M.
(2008).
Incremental Map Generation (IMG). Springer Tracts in Advanced Robotics.
53-68.
-
Rodriguez, S., Thomas, S., Pearce, R., & Amato, N. M.
(2008).
RESAMPL: A Region-Sensitive Adaptive Motion Planner. Springer Tracts in Advanced Robotics.
285-300.
-
Lien, J., & Amato, N. M.
(2008).
Approximate convex decomposition of polyhedra and its applications. Computer Aided Geometric Design.
503-522.
-
Tanase, G., Raman, C., Bianco, M., Amato, N. M., & Rauchwerger, L.
(2008).
Associative parallel containers in STAPL. Lecture Notes in Artificial Intelligence.
156-171.
-
Tapia, L., Tang, X., Thomas, S., & Amato, N. M.
(2007).
Kinetics analysis methods for approximate folding landscapes. Bioinformatics.
i539-i548.
-
Thomas, S., Tang, X., Tapia, L., & Amato, N. M.
(2007).
Simulating protein motions with rigidity analysis. Journal of Computational Biology.
839-855.
-
Morales, M., Pearce, R., & Amato, N. M.
(2007).
Analysis of the evolution of C-space models built through incremental exploration. IEEE International Conference on Robotics and Automation.
1029-+.
-
Rodriguez, S., Lien, J., & Amato, N. M.
(2007).
A Framework for Planning Motion in Environments with Moving Obstacles. 3309-3314.
-
Rodriguez, S., Lien, J., & Amato, N. M.
(2007).
A framework for planning motion in environments with moving obstacles. 3315-+.
-
Lien, J., & Amato, N. M.
(2007).
Approximate convex decomposition of polyhedra. 121-131.
-
Thomas, S., Morales, M., Tang, X., & Amato, N. M.
(2007).
Biasing Samplers to Improve Motion Planning Performance. 1625-1630.
-
Tang, X., Thomas, S., & Amato, N. M.
(2007).
Planning with Reachable Distances: Fast Enforcement of Closure Constraints. 2694-2699.
-
Tanase, G., Bianco, M., Amato, N. M., & Rauchwerger, L.
(2007).
The STAPL pArray. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT.
73-80.
-
Tang, X., Thomas, S., Tapia, L., & Amato, N. M.
(2007).
Tools for simulating and analyzing RNA folding kinetics. Lecture Notes in Artificial Intelligence.
268-+.
-
Lien, J., & Amato, N. M.
(2006).
Approximate convex decomposition of polygons. Computational Geometry: Theory and Applications.
100-123.
-
Thomas, S., Tang, X., Tapia, L., & Amato, N. M.
(2006).
Simulating protein motions with rigidity analysis. Lecture Notes in Artificial Intelligence.
394-409.
-
Lient, J. M., Keyser, J., & Amato, N. M.
(2006).
Simultaneous shape decomposition and skeletonization. 219-228.
-
Rodriguez, S., Tang, X., Lien, J., & Amato, N. M.
(2006).
An obstacle-based rapidly-exploring random tree. IEEE International Conference on Robotics and Automation.
895-+.
-
Morales A, M. A., Pearce, R., & Amato, N. M.
(2006).
Metrics for analyzing the evolution of C-space models. IEEE International Conference on Robotics and Automation.
1268-1273.
-
Rodriguez, S., Lien, J., & Amato, N. M.
(2006).
Planning motion in completely deformable environments. IEEE International Conference on Robotics and Automation.
2466-+.
-
Estrada, A. V., Lien, J., & Amato, N. M.
(2006).
VIZMO++: a visualization, authoring, and educational tool for motion planning. IEEE International Conference on Robotics and Automation.
727-+.
-
Thomas, S., Tanase, G., Dale, L. K., Moreira, J. M., Rauchwerger, L., & Amato, N. M.
(2005).
Parallel protein folding with STAPL. Concurrency and Computation: Practice and Experience.
1643-1656.
-
Morales, M., Tapia, L., Pearce, R., Rodriguez, S., & Amato, N. M.
(2005).
A machine learning approach for feature-sensitive motion planning. Springer Tracts in Advanced Robotics.
361-376.
-
Thomas, S., Song, G., & Amato, N. M.
(2005).
Protein folding by motion planning. Physical Biology.
S148-S155.
-
Bayazit, O. B., Lien, J. M., & Amato, N. M.
(2005).
Swarming behavior using probabilistic roadmap techniques. Lecture Notes in Artificial Intelligence.
112-125.
-
Thomas, N., Tanase, G., Tkachyshyn, O., Perdue, J., Amato, N. M., & Rauchwerger, L.
(2005).
A framework for adaptive algorithm selection in STAPL. 277-288.
-
Bayazit, O. B., Xie, D., & Amato, N. M.
(2005).
Iterative Relaxation of Constraints: A Framework for Improving Automated Motion Planning* *This research supported in part by NSF Grants ACI-9872126, EIA-9975018, EIA-0103742, EIA-9805823, ACR-0113971, CCR-0113974, EIA-9810937, EIA-0079874 and by the Texas Higher Education Coordinating Board grant ATP-0005120261-2001. Some of this work was performed when Bayazit was with the Parasol Lab and his work was supported in part by the Turkish Ministry of Education. 3433-3440.
-
Tang, X., Kirkpatrick, B., Thomas, S., Song, G., & Amato, N. M.
(2005).
Using motion planning to study RNA folding kinetics. Journal of Computational Biology.
862-881.
-
Morales, M. A., Tapia, L., Pearce, R., Rodriguez, S., & Amato, N. M.
(2005).
C-space subdivision and integration in feature-sensitive motion planning. IEEE International Conference on Robotics and Automation.
3114-3119.
-
Lien, J. M., Rodriguez, S., Malric, J. P., & Amato, N. M.
(2005).
Shepherding behaviors with multiple shepherds. IEEE International Conference on Robotics and Automation.
3402-3407.
-
Thomas, S., & Amato, N. M.
(2004).
Parallel protein folding with STAPL. 2639-2646.
-
Lien, J. M., & Amato, N. M.
(2004).
Approximate convex decomposition. 457-458.
-
Lien, J. M., & Amato, N. M.
(2004).
Approximate convex decomposition of polygons. 17-26.
-
Xie, D. W., & Amato, N. M.
(2004).
A kinematics-based probabilistic roadmap method for high DOF closed chain systems. IEEE International Conference on Robotics and Automation.
473-478.
-
Kim, J., & Amato, N. M.
(2004).
Complexity analysis and approximate solutions for two multiple-robot localization problems. IEEE International Conference on Robotics and Automation.
1052-1057.
-
Walter, J. E., Brooks, M. E., Little, D. F., & Amato, N. M.
(2004).
Enveloping multi-pocket obstacles with hexagonal metamorphic robots. IEEE International Conference on Robotics and Automation.
2204-2209.
-
Lien, J. M., Bayazit, O. B., Sowell, R. T., Rodriguez, S., & Amato, N. M.
(2004).
Shepherding behaviors. IEEE International Conference on Robotics and Automation.
4159-4164.
-
Song, G., & Amato, N. M.
(2004).
A motion-planning approach to folding: From paper craft to protein folding. IEEE Transactions on Automation Science and Engineering.
60-71.
-
Lien, J., & Amato, N. M.
(2004).
Approximate convex decomposition of polyhedra. 2.
-
Georghiades, C. N., & Verd, S.
(2004).
Message from the General Co-Chairs. v-v.
-
Christos, K., Amato, N., Krizanc, D., & Pietracaprina, A.
(2004).
Theory and algorithms for parallel computation. Lecture Notes in Artificial Intelligence.
803.
-
Song, G., Thomas, S., & Amato, N. M.
(2003).
A general framework for PRM motion planning. IEEE International Conference on Robotics and Automation.
4445-4450.
-
Lien, J. M., Thomas, S. L., & Amato, N. M.
(2003).
A general framework for sampling on the medial axis of the free space. IEEE International Conference on Robotics and Automation.
4439-4444.
-
Bayazit, O. B., Lien, J. M., & Amato, N. M.
(2003).
Better group behaviors using rule-based roadmaps. Springer Tracts in Advanced Robotics.
95-111.
-
Walter, J. E., Tsai, E. M., & Amato, N. M.
(2003).
Enveloping obstacles with hexagonal metamorphic robots. IEEE International Conference on Robotics and Automation.
741-748.
-
Morales, M., Rodriguez, S., & Amato, N. M.
(2003).
Improving the connectivity of PRM roadmaps[1]. IEEE International Conference on Robotics and Automation.
4427-4432.
-
An, P., Jula, A., Rus, S., Saunders, S., Smith, T., Tanase, G., ... Rauchwerger, L.
(2003).
STAPL: An adaptive, generic parallel C++ library. Lecture Notes in Artificial Intelligence.
193-208.
-
Amato, N., Fraigniaud, P., Kaklamanis, C., & Meyer auf der Heide, F.
(2003).
Theory of Computing Systems: Guest Editors' Foreword. Theory of Computing Systems.
395.
-
Amato, N. M., Dill, K. A., & Song, G.
(2003).
Using motion planning to map protein folding landscapes and analyze folding kinetics of known native structures. Journal of Computational Biology.
239-255.
-
Kim, J., Pearce, R. A., & Amato, N. M.
(2003).
Extracting optimal paths from roadmaps for motion planning. IEEE International Conference on Robotics and Automation.
2424-2429.
-
Kim, J., Pearce, R. A., & Amato, N. M.
(2003).
Feature-based localization using scannable visibility sectors. IEEE International Conference on Robotics and Automation.
2854-2859.
-
Walter, J. E., Welch, J. L., & Amato, N. M.
(2002).
Concurrent metamorphosis of hexagonal robot chains into simple connected configurations. IEEE Transactions on Automation Science and Engineering.
945-956.
-
Amato, N. M., & Song, G.
(2002).
Using motion planning to study protein folding pathways. Journal of Computational Biology.
149-168.
-
Dang, F., Garzaran, M. J., Prvulovic, M., Zhang, Y. e., Jula, A., Yu, H., ... Torrellas, J.
(2002).
Smartapps, an application centric approach to high performance computing: compiler-assisted software and hardware support for reduction operations. 10-pp.
-
Bayazit, O. B., Lien, J. M., & Amato, N. M.
(2002).
Probabilistic roadmap motion planning for deformable objects. IEEE International Conference on Robotics and Automation.
2126-2133.
-
Bayazit, O. B., Lien, J. M., & Amato, N. M.
(2002).
Roadmap-based flocking for complex environments. Proceedings / Pacific Conference on Computer Graphics and Applications. Pacific Conference on Computer Graphics and Applications.
104-113.
-
Kim, J., Pearce, R. A., & Amato, N. M.
(2002).
Robust geometric-based localization in indoor environments using sonar range sensors. 421-426.
-
Amato, N. M., Dill, K. A., & Song, G.
(2002).
Using motion planning to map protein folding landscapes and analyze folding kinetics of known native structures. 2-11.
-
Song, G., & Amato, N. M.
(2001).
Randomized motion planning for car-like robots with C-PRM. 37-42.
-
Han, L., & Amato, N. M.
(2001).
A kinematics-based probabilistic roadmap method for closed chain systems. 233-245.
-
Song, G., & Amato, N. M.
(2001).
A motion planning approach to folding: From paper craft to protein folding. IEEE International Conference on Robotics and Automation.
948-953.
-
Amato, N. M., Goodrich, M. T., & Ramos, E. A.
(2001).
A randomized algorithm for triangulating a simple polygon in linear time. Discrete and Computational Geometry: an international journal of mathematics and computer science.
245-265.
-
Song, G., Miller, S., & Amato, N. M.
(2001).
Customizing PRM roadmaps at query time. IEEE International Conference on Robotics and Automation.
1500-1505.
-
Sundaram, S., Remmler, I., & Amato, N. M.
(2001).
Disassembly sequencing using a motion planning approach. IEEE International Conference on Robotics and Automation.
1475-1480.
-
Son, W., Trinkle, J. C., & Amato, N. M.
(2001).
Hybrid dynamic simulation of rigid-body contact with Coulomb friction. IEEE International Conference on Robotics and Automation.
1376-1381.
-
Kim, J., Amato, N. M., & Lee, S.
(2001).
Integrated mobile robot path (re)planner and localizer for personal robots. IEEE International Conference on Robotics and Automation.
3789-3794.
-
Bayazit, O. B., Song, G., & Amato, N. M.
(2001).
Ligand binding with OBPRM and user input. IEEE International Conference on Robotics and Automation.
954-959.
-
Dale, L. K., & Amato, N. M.
(2001).
Probabilistic roadmaps - Putting it all together. IEEE International Conference on Robotics and Automation.
1940-1947.
-
Rauchwerger, L., Amato, N. M., & Torrellas, J.
(2001).
SmartApps: An Application Centric Approach to High Performance Computing. Lecture Notes in Artificial Intelligence.
82-96.
-
Song, G., & Amato, N. M.
(2001).
Using motion planning to study protein folding pathways. 287-296.
-
Vallejo, D. R., Jones, C., & Amato, N. M.
(2000).
An adaptive framework for 'single shot' motion planning. 1722-1727.
-
Walter, J. E., Welch, J. L., & Amato, N. M.
(2000).
Distributed reconfiguration of metamorphic robot chains. 171-180.
-
Bayazit, O. B., Song, G., & Amato, N. M.
(2000).
Enhancing randomized motion planners: exploring with haptic hints. IEEE International Conference on Robotics and Automation.
529-536.
-
Lee, S., Amato, N. M., & Fellers, J.
(2000).
Localization based on visibility sectors using range sensors. IEEE International Conference on Robotics and Automation.
3505-3511.
-
Mathis, M. M., Amato, N. M., & Adams, M. L.
(2000).
A general performance model for parallel sweeps on orthogonal grids for particle transport calculations. 255-263.
-
Walter, J. E., Welch, J. L., & Amato, N. M.
(2000).
Distributed reconfiguration of hexagonal metamorphic robots in two dimensions. Proceedings of SPIE.
441-453.
-
Son, W., Kim, K., & Amato, N. M.
(2000).
An interactive generalized motion simulator (GMS) in an object-oriented framework. Proceedings Computer Animation 2000.
176-181.
-
Amato, N. M., Goodrich, M. T., & Ramos, E. A.
(2000).
Computing the arrangement of curve segments: Divide-and-conquer algorithms via sampling. 705-706.
-
Son, W., Kim, K., Amato, N. M., & Trinkle, J. C.
(2000).
Interactive dynamic simulation using haptic interaction. 145-150.
-
Amato, N. M., Goodrich, M. T., & Ramos, E. A.
(2000).
Linear-time triangulation of a simple polygon made easier via randomization. 201-212.
-
Iyer, R., Amato, N. M., Rauchwerger, L., & Bhuyan, L.
(1999).
Comparing the memory system performance of the HP V-class and SGI Origin 2000 multiprocessors using microbenchmarks and scientific applications. 339-347.
-
Wilmarth, S. A., Amato, N. M., & Stiller, P. F.
(1999).
MAPRM: A probabilistic roadmap planner with sampling on the medial axis of the free space. IEEE International Conference on Robotics and Automation.
1024-1031.
-
Amato, N. M., & Dale, L. K.
(1999).
Probabilistic roadmap methods are embarrassingly parallel. IEEE International Conference on Robotics and Automation.
688-694.
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Amato, N. M., Bayazit, O. B., Dale, L. K., Jones, C., & Vallejo, D.
(1998).
OBPRM: An obstacle-based PRM for 3D workspaces. 155-168.
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Amato, N. M., Bayazit, O. B., Dale, L. K., Jones, C., & Vallejo, D.
(1998).
Choosing good distance metrics and local planners for probabilistic roadmap methods. IEEE International Conference on Robotics and Automation.
630-637.
-
Wang, Y. O., Amato, N. M., & Friesen, D. K.
(1997).
Hindsight helps: Deterministic task scheduling with backtracking. Proceedings of the International Conference on Parallel Processing.
170-173.
-
Amato, N. M., & Wu, Y.
(1996).
A randomized roadmap method for path and manipulation planning. IEEE International Conference on Robotics and Automation.
113-120.
-
Amato, N. M., & Ramos, E. A.
(1996).
On computing Voronoi diagrams by divide-prune-and-conquer. 166-175.
-
Rauchwerger, L., Amato, N. M., & Padua, D. A.
(1995).
Run-time methods for parallelizing partially parallel loops. 137-146.
-
Amato, N. M., & Loui, M. C.
(1994).
Checking linked data structures. Ftcs.
164-173.
-
Amato, N. M., & Preparata, F. P.
(1993).
NC 1 parallel 3D convex hull algorithm. 289-297.
-
Amato, N. M.
(1993).
An optimal algorithm for finding the separation of simple polygons. Lecture Notes in Artificial Intelligence.
48-59.
-
Pauanshetti, S., Sandstrom, R., Kottala, A., Amato, N. M., & Ryu, S. C.
(2019).
Feasibility Study of Robotic Needles with a Rotational Tip-Joint and Notch Patterns. IEEE International Conference on Robotics and Automation.
1534-1540.
Research
principal investigator on
- AF: Small: Motion Planning Techniques for Protein Motion awarded by National Science Foundation - (Arlington, Virginia, United States) 2014 - 2019
- Doctoral Student Workshop on Algorithmic Foundations of Robotics awarded by National Science Foundation - (Arlington, Virginia, United States) 2014 - 2015
- DC: Small: Collaborative Research: Shape Representation of Large Geometries via Convex Approximation awarded by National Science Foundation - (Arlington, Virginia, United States) 2009 - 2015
- RI: Small: Scalable Roadmap-Based Methods for Simulating and Controlling Behaviors of Interacting Groups: from Robot Swarms to Crowd Control awarded by National Science Foundation - (Arlington, Virginia, United States) 2009 - 2015
co-principal investigator on
- CERT (Center for Exascale Radiation Transport) awarded by United States Department of Energy - (Washington D.C., District of Columbia, United States) 2014 - 2020
- Workshop on Architecture and Software for Emerging Applications (WASEA) awarded by National Science Foundation - (Arlington, Virginia, United States) 2016 - 2019
- XPS: FULL: DSD: Asynchronous PDE Algorithms for Turbulent Flows at Exascale awarded by National Science Foundation - (Arlington, Virginia, United States) 2014 - 2019
- Efri-Odissei: Synthesizing Complex Structures From Programmable Self-Folding Active Materials awarded by National Science Foundation - (Arlington, Virginia, United States) 2012 - 2019
- RI: Small: Sampling Based Feedback Motion Planners awarded by National Science Foundation - (Arlington, Virginia, United States) 2012 - 2016
- A Compositional Approach to Scalable Parallel Software awarded by National Science Foundation - (Arlington, Virginia, United States) 2008 - 2015
investigator on
Teaching
teaching activities
- CSCE285 Hnr-directed Studies Instructor
- CSCE491 Hnr-research Instructor
- CSCE491 Hnr-research Instructor
- CSCE684 Professional Internship Instructor
- CSCE684 Professional Internship: In-ab Instructor
- CSCE685 Directed Studies Instructor
- CSCE691 Research Instructor
- CSCE691 Research Instructor
- ENGR181 Hnr-engr Seminar I Instructor
- ENGR281 Hnr-eh Mentoring & Team Bldg Instructor
- ENGR285 Directed Studies Instructor
- ENGR289 Sptp:hnr-eh Live Learn Comm Instructor
- ENGR381 Hnr-eh Leadership & Proj Mgmt Instructor
- ENGR489 Sptp:gcsp Experience Instructor
- UGST285 Directed Studies Instructor
Works By Students
chaired theses and dissertations
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Aghamohammadi, Aliakbar (2014-05). Feedback-based Information Roadmap (FIRM): Graph-based Estimation and Control of Robotic Systems Under Uncertainty.
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Boyd, Bryan 1985- (2012-08). Local Randomization in Neighbor Selection Improves PRM Roadmap Quality.
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Bulluck, Matthew James (2017-12). A Framework For Parallelizing Sampling-Based Motion Planning Algorithms.
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Castet, Nicolas (2013-04). A Parallel Graph Partitioner for STAPL.
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Denny, Jory London (2016-07). Collaborative Motion Planning.
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Ebinger, Timothy (2018-11). A General Framework for a Sampling-Based Planning Approach to Disassembly Sequence Planning.
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Ekenna, Chinwe Pamela (2016-08). Improved Sampling Based Motion Planning Through Local Learning.
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Ghosh, Mukulika (2012-10). Fast Approximate Convex Decomposition.
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Ghosh, Mukulika (2019-04). Geometric Approximations and their Application to Motion Planning.
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Giese, Andrew W (2014-04). Reciprocally-rotating Velocity Obstacles.
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Harshvardhan (2018-05). Algorithm-Level Optimizations for Scalable Parallel Graph Processing.
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Hoxha, Dielli (2016-05). Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework.
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Jacobs, Samson Ade (2014-04). A Scalable Framework for Parallelizing Sampling-Based Motion Planning Algorithms.
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Jain, Tarun K (2013-12). Parallel Seismic Ray Tracing.
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Lien, Jyh-Ming (2006-12). Approximate convex decomposition and its applications.
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Mahadevan, Aditya (2013-11). Multi-robot Caravanning.
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Manavi, Kasra Mehron (2012-07). Medial Axis Local Planner: Local Planning for Medial Axis Roadmaps.
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Marsy, Vincent S (2015-08). Dynamic Load Balancing in a Geophysics Application Using STAPL.
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McMahon, Troy Anthony (2016-08). Sampling Based Motion Planning with Reachable Volumes.
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Mishra, Saurabh (2018-01). A Task Hand-Off Framework for Multi-Robot Systems.
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Morales Aguirre, Marco Antonio (2007-12). Metrics for sampling-based motion planning.
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Motes, James (2019-08). Interaction Templates for Multi-Robot Systems.
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Nath, Shuvra Kanti (2013-08). Multi-directional Rapidly Exploring Random Graph (mRRG) for Motion Planning.
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Pearce, Olga (2014-12). Load Balancing Scientific Applications.
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Pearce, Roger Allan (2013-12). Scalable Parallel Algorithms for Massive Scale-free Graphs.
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Rodriguez, Samuel Oscar (2012-07). Roadmap-Based Techniques for Modeling Group Behaviors in Multi-Agent Systems.
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Roy, Gautam (2009-12). A Distributed Pool Architecture for Genetic Algorithms.
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Sandstrom, Read Mullan (2020-04). Approximating Configuration Space Topology with Workspace Models.
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Sharma, Shishir (2013-05). Scheduling in STAPL.
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Shen, Junjie (2017-12). A HIERARCHICAL SYSTEM VIEW AND ITS USE IN THE DATA DISTRIBUTION OF COMPOSED CONTAINERS IN STAPL.
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Talavatifard, Habiballah (2013-05). Application of L1 Minimization Technique to Image Super-Resolution and Surface Reconstruction.
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Tanase, Ilie Gabriel (2010-12). The STAPL Parallel Container Framework.
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Tang, Xinyu (2007-12). Techniques for modeling and analyzing RNA and protein folding energy landscapes.
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Tapia, Lydia (2009-12). Intelligent Motion Planning and Analysis with Probabilistic Roadmap Methods for the Study of Complex and High-Dimensional Motions.
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Thomas, Shawna L. (2010-05). Rigidity Analysis for Modeling Protein Motion.
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Xie, Dawen (2007-08). Design and implementation of a departmental information management system.
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Xu, Xiabing (2010-12). The STAPL pList.
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Yeh, Hsin Yi (2016-04). Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding.
Background
education and training
- Ph.D. in Computer Science, University of Illinois at Urbana Champaign - (Urbana, Illinois, United States) 1995
- M.S. in Computer Science, University of California, Berkeley - (Berkeley, California, United States) 1988
- A.B. in Economics, Stanford University - (Stanford, California, United States) 1986
- B.S. in Mathematical Sciences, Stanford University - (Stanford, California, United States) 1986
awards and honors
- Association of Former Students University-Level Distinguished Achievement Award, The, conferred by Texas A&M University - (College Station, Texas, United States), 2018
- Distinguished Service Award, conferred by IEEE Robotics and Automation Society, 2017
- Fellow, conferred by Association for Computing Machinery - (New York, New York, United States), 2015
- Distinguished Educator Award, conferred by University of Illinois at Urbana Champaign - (Urbana, Illinois, United States), 2015
- A Nico Habermann Award, conferred by Computing Research Association - (Washington D.C., District of Columbia, United States), 2014
- NCWIT Harrold and Notkin Research and Graduate Mentoring Award, conferred by National Center for Women and Information Technology - (Boulder, Colorado, United States), 2014
- AAAS Fellow, conferred by American Association For The Advancement of Science - (Washington D.C., District of Columbia, United States), 2013
- Harriett B. Rigas Award, conferred by IEEE Education Society, 2013
- Betty M. Unterberger Award for Outstanding Service to Honors Education, conferred by Texas A&M University - (College Station, Texas, United States), 2013
- Distinguished Scientist, conferred by Association for Computing Machinery - (New York, New York, United States), 2012
- Association of Former Students University-Level Distinguished Achievement Award, The, conferred by Texas A&M University - (College Station, Texas, United States), 2011
- Fellow, conferred by Institute of Electrical and Electronics Engineers - (Piscataway, New Jersey, United States), 2010
- E.D. Brockett Professorship, conferred by Texas A&M University - (College Station, Texas, United States), 2010
- Association of Former Students College-Level Teaching Distinguished Achievement Award, The, conferred by Texas A&M University - (College Station, Texas, United States), 2010
- Distinguished Lecturer, conferred by IEEE Robotics and Automation Society, 2006
- Halliburton Professorship Award, conferred by Texas A&M University - (College Station, Texas, United States), 2006
- Executive Vice President and Provost's Diversity Award, conferred by Texas A&M University - (College Station, Texas, United States), 1998
- ACM Award for Teaching Excellence, conferred by Texas A&M University - (College Station, Texas, United States), 1997
- Montague Center for Teaching Excellence (CTE) Scholar, conferred by Texas A&M University - (College Station, Texas, United States), 1997
- Faculty Early Career Development (CAREER) Program, conferred by National Science Foundation - (Arlington, Virginia, United States), 1996
Contact
first name
- Nancy
has last name
- Amato
mailing address
-
Texas A&M University
Engineering Academic Coordination
3126 TAMU
College Station, TX 77843-3112
USA
Other
- amato@tamu.edu