HR job title
- Professor
- Contact Info
- 1 979 845 5534
- Websites
Shell, Dylan Associate Professor - Term Appoint
Positions
- Associate Professor - Term Appoint, Computer Science and Engineering, College of Engineering
My research aims to synthesize and analyze complex, intelligent behavior in distributed systems that exploit their physical embedding to interact with the physical world.
- Overview
- Publications
- Research
- Teaching
- Works By Students
- Background
- Contact
- Other
- View All
Overview
Publications
selected publications
-
academic article
-
Tamjidi, A., Oftadeh, R., Mohamed, M., Yu, D., Chakravorty, S., & Shell, D.
(2021).
Unifying Consensus and Covariance Intersection for Efficient Distributed State Estimation Over Unreliable Networks. IEEE Transactions on Robotics.
37(5), 1525-1538.
-
Shell, D. A., O'Kane, J. M., & Saberifar, F. Z.
(2021).
On the Design of Minimal Robots That Can Solve Planning Problems. IEEE Transactions on Automation Science and Engineering.
18(3), 876-887.
-
Teshnizi, R. H., & Shell, D. A.
(2021).
Motion planning for a pair of tethered robots. Autonomous Robots.
45(5), 693-707.
-
Tamjidi, A., Oftadeh, R., Chakravorty, S., & Shell, D.
(2020).
Efficient recursive distributed state estimation of hidden Markov models over unreliable networks. Autonomous Robots.
44(3-4), 321-338.
-
Nam, C., & Shell, D. A.
(2020).
Robots in the Huddle: Upfront Computation to Reduce Global Communication at Run Time in Multirobot Task Allocation. IEEE Transactions on Robotics.
36(1), 125-141.
-
Zhang, Y., & Shell, D. A.
(2019).
Complete characterization of a class of privacy-preserving tracking problems. International Journal of Robotics Research.
38(2-3), 299-315.
-
Saberifar, F. Z., Ghasemlou, S., Shell, D. A., & O'kane, J. M.
(2019).
Toward a language-theoretic foundation for planning and filtering. International Journal of Robotics Research.
38(2-3), 236-259.
-
Kim, Y., & Shell, D. A.
(2018).
Bound to help: cooperative manipulation of objects via compliant, unactuated tails. Autonomous Robots.
42(8), 1563-1582.
-
Alam, T., Bobadilla, L., & Shell, D. A.
(2018).
Space-Efficient Filters for Mobile Robot Localization from Discrete Limit Cycles. IEEE Robotics and Automation Letters.
3(1), 257-264.
-
O'Kane, J. M., & Shell, D. A.
(2017).
Concise Planning and Filtering: Hardness and Algorithms. IEEE Transactions on Automation Science and Engineering.
14(4), 1666-1681.
-
Ivanov, P., & Shell, D. A.
(2017).
Hark! Who goes there? Concurrent association of communication channels for multiple mobile robots. Autonomous Robots.
41(4), 811-829.
-
Nam, C., & Shell, D. A.
(2017).
Analyzing the Sensitivity of the Optimal Assignment in Probabilistic Multi-Robot Task Allocation. IEEE Robotics and Automation Letters.
2(1), 193-200.
-
Kim, Y., & Shell, D. A.
(2017).
Using a Compliant, Unactuated Tail to Manipulate Objects. IEEE Robotics and Automation Letters.
2(1), 223-230.
-
Janpuangtong, S., & Shell, D. A.
(2016).
Helping Novices Avoid the Hazards of Data: Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources. AI Magazine.
37(2), 19-32.
-
Nam, C., & Shell, D. A.
(2015).
Assignment Algorithms for Modeling Resource Contention in Multirobot Task Allocation. IEEE Transactions on Automation Science and Engineering.
12(3), 889-900.
-
Liu, L., Shell, D. A., & Michael, N.
(2014).
From selfish auctioning to incentivized marketing. Autonomous Robots.
37(4), 417-430.
-
Liu, L., & Shell, D. A.
(2013).
An anytime assignment algorithm: From local task swapping to global optimality. Autonomous Robots.
35(4), 271-286.
-
Liu, L., & Shell, D. A.
(2013).
Physically routing robots in a multi-robot network: Flexibility through a three-dimensional matching graph. International Journal of Robotics Research.
32(12), 1475-1494.
-
Fine, B. T., & Shell, D. A.
(2013).
Unifying microscopic flocking motion models for virtual, robotic, and biological flock members. Autonomous Robots.
35(2-3), 195-219.
-
Liu, L., & Shell, D. A.
(2012).
Large-scale multi-robot task allocation via dynamic partitioning and distribution. Autonomous Robots.
33(3), 291-307.
-
Kim, Y., Lee, S., Yang, H. S., & Shell, D. A.
(2012).
Toward autonomous robotic containment booms: visual servoing for robust inter-vehicle docking of surface vehicles. Intelligent Service Robotics.
5(1), 1-18.
-
Shell, D. A., & Matari, M. J.
(2005).
Insights toward robot-assisted evacuation. Advanced Robotics.
19(8), 797-818.
-
Tamjidi, A., Oftadeh, R., Mohamed, M., Yu, D., Chakravorty, S., & Shell, D.
(2021).
Unifying Consensus and Covariance Intersection for Efficient Distributed State Estimation Over Unreliable Networks. IEEE Transactions on Robotics.
37(5), 1525-1538.
-
chapter
-
Zhang, Y., & Shell, D. A.
(2021).
Cover Combinatorial Filters and Their Minimization Problem. ROBOTICS RESEARCH, VOL 2.
Algorithmic Foundations of Robotics XIV.
(pp. 90-106).
Springer Nature.
-
McFassel, G., & Shell, D. A.
(2021).
Every Action-Based Sensor. ROBOTICS RESEARCH, VOL 2.
Algorithmic Foundations of Robotics XIV.
(pp. 176-193).
Springer Nature.
-
Gul Mohamed, M. N., Chakravorty, S., & Shell, D. A.
(2021).
Experiments with Tractable Feedback in Robotic Planning Under Uncertainty: Insights over a Wide Range of Noise Regimes. ROBOTICS RESEARCH, VOL 2.
Algorithmic Foundations of Robotics XIV.
(pp. 414-431).
Springer Nature.
-
Rahmani, H., Shell, D. A., & OKane, J. M.
(2021).
Planning to Chronicle. ROBOTICS RESEARCH, VOL 2.
Algorithmic Foundations of Robotics XIV.
(pp. 277-293).
Springer Nature.
-
Ghasemlou, S., Saberifar, F. Z., OKane, J. M., & Shell, D. A.
(2020).
Beyond the Planning Potpourri: Reasoning About Label Transformations on Procrustean Graphs. ROBOTICS RESEARCH, VOL 2.
Algorithmic Foundations of Robotics XII.
(pp. 224-239).
Springer Nature.
-
Zhang, Y., Shell, D. A., & OKane, J. M.
(2020).
Finding Plans Subject to Stipulations on What Information They Divulge. ROBOTICS RESEARCH, VOL 2.
Algorithmic Foundations of Robotics XIII.
(pp. 106-124).
Springer Nature.
-
Shell, D. A., & Matari, M. J.
(2005).
Behavior-Based Methods for Modeling and Structuring Control of Social Robots. Cognition and Multi-Agent Interaction.
(pp. 279-306).
Cambridge University Press (CUP).
-
Zhang, Y., & Shell, D. A.
(2021).
Cover Combinatorial Filters and Their Minimization Problem. ROBOTICS RESEARCH, VOL 2.
Algorithmic Foundations of Robotics XIV.
(pp. 90-106).
Springer Nature.
-
conference paper
-
Chaudhuri, D., Rahmani, H., Shell, D. A., & OKane, J. M.
(2022).
Tractable Planning forCoordinated Story Capture: Sequential Stochastic Decoupling. 256-268.
-
Curran, W. E., Rojas, C. A., Bobadilla, L., & Shell, D. A.
(2021).
Oblivious Sensor Fusion via Secure Multi-Party Combinatorial Filter Evaluation. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control.
5620-5627.
-
Rahmani, H., Shell, D. A., & O'Kane, J. M.
(2021).
Sensor selection for detecting deviations from a planned itinerary. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
6511-6518.
-
Zhang, Y., Rahmani, H., Shell, D. A., & O'Kane, J. M.
(2021).
Accelerating combinatorial filter reduction through constraints. IEEE International Conference on Robotics and Automation.
9703-9709.
-
Chaudhuri, D., Ike, R., Rahmani, H., Shell, D. A., Becker, A. T., & O'Kane, J. M.
(2021).
Conditioning Style on Substance: Plans for Narrative Observation. IEEE International Conference on Robotics and Automation.
2687-2693.
-
Moan, R. A., Shell, D. A., & O'Kane, J. M.
(2021).
Multiplexing Robot Experiments: Theoretical Underpinnings, Conditions for Existence, and Demonstrations. IEEE International Conference on Robotics and Automation.
8904-8910.
-
Zhang, Y., & Shell, D. A.
(2020).
Abstractions for computing all robotic sensors that suffice to solve a planning problem. IEEE International Conference on Robotics and Automation.
8469-8475.
-
Shell, D. A., & OKane, J. M.
(2020).
Reality as a simulation of reality: robot illusions, fundamental limits, and a physical demonstration. 10327-10334.
-
Hsu, Y., Gopalswamy, S., Saripalli, S., & Shell, D. A.
(2020).
A POMDP Treatment of Vehicle-Pedestrian Interaction: Implicit Coordination via Uncertainty-Aware Planning. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
1984-1991.
-
Mayya, S., Notomista, G., Shell, D., Hutchinson, S., & Egerstedt, M.
(2019).
Non-Uniform Robot Densities in Vibration Driven Swarms Using Phase Separation Theory. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4106-4112.
-
Bobadilla, L., Shell, D. A., & Smith, R. N.
(2019).
Navigation and Localization via Wave Interference Patterns: An approach inspired by Marshallese Stick Charts. Oceans -Conference-.
1-6.
-
Li, L. i., Bayuelo, A., Bobadilla, L., Alam, T., & Shell, D. A.
(2019).
Coordinated multi-robot planning while preserving individual privacy. IEEE International Conference on Robotics and Automation.
2188-2194.
-
Shell, D. A., Huang, L. i., Becker, A. T., & O'Kane, J. M.
(2019).
Planning Coordinated Event Observation for Structured Narratives. IEEE International Conference on Robotics and Automation.
7632-7638.
-
Nam, C., & Shell, D. A.
(2019).
Bundling Policies for Sequential Stochastic Tasks in Multi-robot Systems. ROBOTICS RESEARCH, VOL 2.
237-252.
-
Ghasemlou, S., O'Kane, J. M., & Shell, D. A.
(2018).
Delineating boundaries of feasibility between robot designs. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
422-429.
-
Hsu, Y., Gopalswamy, S., Saripalli, S., & Shell, D. A.
(2018).
An MDP Model of Vehicle-Pedestrian Interaction at an Unsignalized Intersection. 1-6.
-
Tamjidi, A., Oftadeh, R., Chakravorty, S., & Shell, D.
(2017).
Efficient Distributed State Estimation of Hidden Markov Models over Unreliable Networks. 112-119.
-
Alam, T., Bobadilla, L., & Shell, D. A.
(2017).
Minimalist Robot Navigation and Coverage Using a Dynamical System Approach. 249-256.
-
Saberifar, F. Z., O'Kane, J. M., & Shell, D. A.
(2017).
Inconsequential improprieties: Filter reduction in probabilistic worlds. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4042-4048.
-
Qin, K., & Shell, D. A.
(2017).
Robots Going Round the Bend-A Comparative Study of Estimators for Anticipating River Meanders. IEEE International Conference on Robotics and Automation.
4934-4940.
-
Teshnizi, R. H., & Shell, D. A.
(2016).
Planning Motions for a Planar Robot Attached to a Stiff Tether. IEEE International Conference on Robotics and Automation.
2759-2766.
-
Tamjidi, A., Chakravorty, S., & Shell, D.
(2016).
Unifying Consensus and Covariance Intersection for Decentralized State Estimation. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
125-130.
-
Saberifar, F. Z., Ghasemlou, S., O'Kane, J. M., & Shell, D. A.
(2016).
Set-labelled filters and sensor transformations. ROBOTICS: SCIENCE AND SYSTEMS XII.
-
Liu, L., Michael, N., & Shell, D. A.
(2015).
Communication constrained task allocation with optimized local task swaps. Autonomous Robots.
429-444.
-
Wilde, G. A., Murphy, R. R., Shell, D. A., & Marianno, C. M.
(2015).
A Man-Packable Unmanned Surface Vehicle for Radiation Localization and Forensics. 1-6.
-
Janpuangtong, S., & Shell, D. A.
(2015).
Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources. Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence.
3981-3986.
-
Kim, J., & Shell, D. A.
(2015).
A new model for self-organized robotic clustering: understanding boundary induced densities and cluster compactness. IEEE International Conference on Robotics and Automation.
5858-5863.
-
O'Kane, J. M., & Shell, D. A.
(2015).
Automatic design of discreet discrete filters. IEEE International Conference on Robotics and Automation.
353-360.
-
Nam, C., & Shell, D. A.
(2015).
When to do your own thing: Analysis of cost uncertainties in multi-robot task allocation at run-time. IEEE International Conference on Robotics and Automation.
1249-1254.
-
Zhou, J., Mu, D., Yang, F., Dai, G., & Shell, D. A.
(2014).
A distributed approach to load balance for multi-robot task allocation. 612-617.
-
Liu, L., Michael, N., & Shell, D.
(2014).
Fully Decentralized Task Swaps with Optimized Local Searching
-
Nam, C., & Shell, D. A.
(2014).
Assignment Algorithms for Modeling Resource Contention and Interference in Multi-Robot Task-Allocation. IEEE International Conference on Robotics and Automation.
2158-2163.
-
Teshnizi, R. H., & Shell, D. A.
(2014).
Computing Cell-Based Decompositions Dynamically for Planning Motions of Tethered Robots. IEEE International Conference on Robotics and Automation.
6130-6135.
-
Kim, Y., & Shell, D. A.
(2014).
Distributed Robotic Sampling of Non-homogeneous SpatioTemporal Fields via Recursive Geometric Sub-division. IEEE International Conference on Robotics and Automation.
557-562.
-
Liu, L., & Shell, D. A.
(2014).
Multi-Robot Formation Morphing through a Graph Matching Problem. Springer Tracts in Advanced Robotics.
291-306.
-
Liu, L., & Shell, D. A.
(2014).
Multi-robot formation morphing through a graph matching problem. Springer Tracts in Advanced Robotics.
291-306.
-
Fine, B. T., & Shell, D. A.
(2013).
Eliciting Collective Behaviors through Automatically Generated Environments. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
3303-3308.
-
O'Kane, J. M., & Shell, D. A.
(2013).
Finding concise plans: Hardness and algorithms. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4803-4810.
-
Kim, J., & Shell, D. A.
(2013).
Improving the performance of self-organized robotic clustering: modeling and planning sequential changes to the division of labor. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
4314-4319.
-
O'Kane, J. M., & Shell, D. A.
(2013).
Automatic Reduction of Combinatorial Filters. IEEE International Conference on Robotics and Automation.
4082-4089.
-
Ghoshal, A., & Shell, D. A.
(2013).
Covering Space with Simple Robots: From Chains to Random Trees. IEEE International Conference on Robotics and Automation.
914-920.
-
Liu, L., & Shell, D. A.
(2013).
A distributable and computation-flexible assignment algorithm: From local task swapping to global optimality. Robotics: Science and Systems.
257-264.
-
Liu, L., & Shell, D. A.
(2012).
Tackling Task Allocation Uncertainty via a Combinatorial Method. 1-6.
-
Liu, L., & Shell, D. A.
(2012).
An Efficient Distributed Topo-Geometric Spatial Density Estimation Method for Multi-Robot Systems. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
828-833.
-
Drumwright, E., & Shell, D. A.
(2012).
Extensive Analysis of Linear Complementarity Problem (LCP) Solver Performance on Randomly Generated Rigid Body Contact Problems. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
5034-5039.
-
Kristek, S. M., & Shell, D. A.
(2012).
Orienting Deformable Polygonal Parts without Sensors. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
973-979.
-
Song, Y., Kim, J., & Shell, D. A.
(2012).
Self-organized Clustering of Square Objects by Multiple Robots. Lecture Notes in Computer Science.
308-315.
-
Mitra, T., & Shell, D. A.
(2012).
Cost, Precision, and Task Structure in Aggression-Based Arbitration for Minimalist Robot Cooperation. 431-441.
-
Fine, B. T., & Shell, D. A.
(2012).
Examining the Information Requirements for Flocking Motion. Lecture Notes in Computer Science.
442-452.
-
Liu, L., & Shell, D. A.
(2012).
Tunable Routing Solutions for Multi-Robot Navigation via the Assignment Problem: A 3D Representation of the Matching Graph. IEEE International Conference on Robotics and Automation.
4800-4805.
-
Liu, L., & Shell, D. A.
(2012).
Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation. Robotics: Science and Systems.
185-192.
-
Fine, B. T., & Shell, D. A.
(2011).
Flocking: don't need no stinkin robot recognition. 5001-5006.
-
Fine, B. T., & Shell, D. A.
(2011).
Flocking: don't need no stinkin' robot recognition. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
5001-5006.
-
Buller, M., Cuddihy, P., Davis, E., Doherty, P., Doshi-Velez, F., Erdem, E., ... Urken, A. B.
(2011).
Reports of the AAAI 2011 Spring Symposia. AI Magazine.
119-127.
-
Ghoshal, A., & Shell, D. A.
(2011).
Being there, being the RRT: Space-filling and searching in place with minimalist robots. 10-15.
-
Kim, J. H., Song, Y., & Shell, D.
(2011).
Robot spatial distribution and boundary effects matter in puck clustering. 16-21.
-
Liu, L., & Shell, D. A.
(2011).
Assessing optimal assignment under uncertainty: An interval-based algorithm. International Journal of Robotics Research.
936-953.
-
Drumwright, E., & Shell, D. A.
(2011).
An Evaluation of Methods for Modeling Contact in Multibody Simulation. IEEE International Conference on Robotics and Automation.
1695-1701.
-
Liu, L., Fine, B., Shell, D., & Klappenecker, A.
(2011).
Approximate Characterization of Multi-Robot Swarm "Shapes" in Sublinear-Time. IEEE International Conference on Robotics and Automation.
2886-2891.
-
Liu, L., & Shell, D. A.
(2011).
Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm. Robotics: Science and Systems.
121-128.
-
Drumwright, E., Hsu, J., Koenig, N., & Shell, D.
(2010).
Extending Open Dynamics Engine for Robotics Simulation. Lecture Notes in Computer Science.
38-50.
-
Drumwright, E., & Shell, D. A.
(2010).
Modeling Contact Friction and Joint Friction in Dynamic Robotic Simulation Using the Principle of Maximum Dissipation. Springer Tracts in Advanced Robotics.
249-+.
-
Duncan, B. A., Murphy, R. R., Shell, D., & Hopper, A. G.
(2010).
A Midsummer Night's Dream: Social proof in HRI. ACM/IEEE International Conference on Human-Robot Interaction.
91-92.
-
Shell, D. A., & Matari, M. J.
(2009).
High-Fidelity Radio Communications Modeling for Multi-Robot Simulation. 3447-3452.
-
Drumwright, E., & Shell, D. A.
(2009).
A robust and tractable contact model for dynamic robotic simulation. 1176-1180.
-
Shell, D. A., & Drumwright, E.
(2009).
Precise generalized contact point and normal determination for rigid body simulation. 2107-2108.
-
Wainer, J., Feil-Seifer, D. J., Shell, D. A., & Matari, M. J.
(2007).
Embodiment and Human-Robot Interaction: A Task-Based Perspective. 872-877.
-
Shell, D. A., & Matari, M. J.
(2006).
Principled synthesis for large-scale systems: Task sequencing. 207-216.
-
Shell, D. A., & Matari, M. J.
(2006).
On foraging strategies for large-scale multi-robot systems. 2717-2723.
-
Wainer, J., Feil-Seifer, D. J., Shell, D. A., & Matari, M. J.
(2006).
The role of physical embodiment in human-robot interaction. 117-122.
-
Shell, D. A., & Matari, M. J.
(2006).
Ergodic Dynamics for Large-Scale Distributed Robot Systems. Lecture Notes in Computer Science.
254-266.
-
Shell, D. A., Jones, C. V., & Matari, M. J.
(2005).
Ergodic Dynamics by Design: A Route to Predictable Multi-Robot Systems. 291-297.
-
Shell, D. A., & Matari, M. J.
(2004).
Directional Audio Beacon Deployment: An Assistive Multi-Robot Application. IEEE International Conference on Robotics and Automation.
2588-2594.
-
Shell, D. A., & Matari, M. J.
(2003).
Human Motion-Based Environment Complexity Measures for Robotics. 2559-2564.
-
Chaudhuri, D., Rahmani, H., Shell, D. A., & OKane, J. M.
(2022).
Tractable Planning forCoordinated Story Capture: Sequential Stochastic Decoupling. 256-268.
-
institutional repository document
-
Zhang, Y., & Shell, D. A.
(2021).
On nondeterminism in combinatorial filters
-
Zhang, Y., & Shell, D. A.
(2021).
Lattices of sensors reconsidered when less information is preferred
-
Rahmani, H., Shell, D. A., & O'Kane, J. M.
(2021).
Sensor selection for detecting deviations from a planned itinerary
-
Teshnizi, R. H., & Shell, D. A.
(2021).
Motion Planning for a Pair of Tethered Robots
-
Zhang, Y., Rahmani, H., Shell, D. A., & O'Kane, J. M.
(2020).
Accelerating combinatorial filter reduction through constraints
-
Rahmani, H., Shell, D. A., & O'Kane, J. M.
(2020).
Planning to Chronicle
-
McFassel, G., & Shell, D. A.
(2020).
Every Action Based Sensor
-
Zhang, Y., & Shell, D. A.
(2020).
Abstractions for computing all robotic sensors that suffice to solve a planning problem
-
Mohamed, M., Chakravorty, S., & Shell, D. A.
(2020).
Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes (Extended Report)
-
Zhang, Y., & Shell, D. A.
(2020).
Cover Combinatorial Filters and their Minimization Problem (Extended Version)
-
Shell, D. A., & O'Kane, J. M.
(2019).
Reality as a simulation of reality: robot illusions, fundamental limits, and a physical demonstration
-
Mohamed, M., Chakravorty, S., & Shell, D. A.
(2019).
Decoupling stochastic optimal control problems for efficient solution: insights from experiments across a wide range of noise regimes
-
Mayya, S., Notomista, G., Shell, D., Hutchinson, S., & Egerstedt, M.
(2019).
Non-Uniform Robot Densities in Vibration Driven Swarms Using Phase Separation Theory
-
Zhang, Y., Shell, D. A., & O'Kane, J. M.
(2018).
What does my knowing your plans tell me?
-
Zhang, Y., Shell, D. A., & O'Kane, J. M.
(2018).
Finding plans subject to stipulations on what information they divulge
-
Saberifar, F. Z., Ghasemlou, S., Shell, D. A., & O'Kane, J. M.
(2018).
Toward a language-theoretic foundation for planning and filtering
-
Nilles, A. Q., Shell, D. A., & O'Kane, J. M.
(2018).
Robot Design: Formalisms, Representations, and the Role of the Designer
-
Zhang, Y., & Shell, D. A.
(2018).
Complete characterization of a class of privacy-preserving tracking problems
-
Tamjidi, A., Chakravorty, S., & Shell, D.
(2016).
Decentralized State Estimation via a Hybrid of Consensus and Covariance intersection
-
Zhang, Y., & Shell, D. A.
(2021).
On nondeterminism in combinatorial filters
Research
principal investigator on
- Collaborative Research: EAGER: Foundations of Secure Multi-Robot Computation awarded by Directorate for Computer & Information Science & Engineering - (Arlington, Virginia, United States) 2020 - 2022
- S&AS: FND: COLLAB: Planning Coordinated Event Observation for Structured Narratives awarded by National Science Foundation - (Arlington, Virginia, United States) 2019 - 2022
- The 14th International Workshop on the Algorithmic Foundations of Robotics (WAFR'20) Student Travel Awards awarded by National Science Foundation - (Arlington, Virginia, United States) 2020 - 2021
- CAREER: Bridging Self-Organized and Algorithmic Approaches to Multi-Robot Systems awarded by National Science Foundation - (Arlington, Virginia, United States) 2015 - 2021
- Survivable Networks of robots for Adversity: Recoverability and Expendability (S.N.A.R.E) awarded by United States Department of Defense - (Washington D.C., District of Columbia, United States) 2017 - 2019
- RI:Small:Collaborative Research:Why is automating the design of robot controllers hard, and what can be done about it? awarded by National Science Foundation - (Arlington, Virginia, United States) 2015 - 2019
- RI: Medium: Collaborative Research: Decision-Making on Uncertain Spatial-Temporal Fields: Modeling, Planning and Control with Applications to Adaptive Sampling awarded by National Science Foundation - (Arlington, Virginia, United States) 2013 - 2017
- IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2012-2013) Student Travel Awards awarded by National Science Foundation - (Arlington, Virginia, United States) 2013 - 2015
co-principal investigator on
investigator on
Teaching
teaching activities
- CSCE121 Intro Pgm Design Concept Instructor
- CSCE222 Discrete Struc Computing Instructor
- CSCE291 Hnr-research Instructor
- CSCE314 Hnr-programming Languages Instructor
- CSCE314 Programming Languages Instructor
- CSCE420 Artificial Intelligence Instructor
- CSCE482 Hnr- Sr Capstone Design Instructor
- CSCE483 Computer Sys Design Instructor
- CSCE485 Directed Studies Instructor
- CSCE491 Hnr-research Instructor
- CSCE491 Hnr-research Instructor
- CSCE625 Artificial Intelligence Instructor
- CSCE643 Sem Intel Sys Robotics Instructor
- CSCE684 Professional Internship Instructor
- CSCE685 Directed Studies Instructor
- CSCE691 Research Instructor
Works By Students
chaired theses and dissertations
-
Ahmed, Taahir David (2017-04). Dynamic Beamforming Without Phase Shifters.
-
Ghoshal, Asish (2012-07). Rapidly-exploring Random Tree Inspired Multi-robot Space Coverage.
-
HosseiniTeshnizi, Reza (2015-08). Motion Planning for a Tethered Mobile Robot.
-
Ivanov, Plamen (2015-08). Solving the Communication Channel Association Problem for Mobile Robots.
-
Kim, Jung-Hwan (2015-11). New Models of Self-Organized Multi-Robot Clustering.
-
Kim, Young Ho (2017-05). Manipulating Objects using Compliant, Unactuated Tails: Modeling and Planning.
-
Kristek, Shawn (2012-02). Orienting Deformable Polygonal Parts without Sensors.
-
Liu, Lantao (2013-04). Linear Sum Assignment Algorithms for Distributed Multi-robot Systems.
-
Mitra, Tanushree (2012-10). Cost, Precision, and Task Structure in Aggression-based Arbitration for Minimalist Robot Cooperation.
-
Nam, Changjoo (2016-07). Assignment Algorithms for Multi-Robot Task Allocation in Uncertain and Dynamic Environments.
-
Song, Yong (2013-05). Minimalist Multi-Robot Clustering of Square Objects: New Strategies, Experiments, and Analysis.
Background
education and training
- Ph.D. in Computer Science, University of Southern California - (Los Angeles, California, United States) 2008
- M.S. in Computer Science, University of Southern California - (Los Angeles, California, United States) 2006
- B.S. in Computational & Applied Mathematics, and Computer Science, University of the Witwatersrand - (Johannesburg, South Africa) 2001
awards and honors
Contact
first name
- Dylan
has last name
- Shell
mailing address
-
Texas A&M University
Computer Science & Engineering
3112 TAMU
College Station, TX 77843-3112
USA
Other
- dshell@tamu.edu