HR job title
- Associate 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.
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- Works By Students
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Overview
Publications
selected publications
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academic article
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Tamjidi, A., Oftadeh, R., Chakravorty, S., & Shell, D.
(2019).
Efficient recursive distributed state estimation of hidden Markov models over unreliable networks. Autonomous Robots.
44(3-4), 321-338.
-
Saberifar, F. Z., Ghasemlou, S., Shell, D. A., & O’Kane, J. M.
(2019).
Toward a language-theoretic foundation for planning and filtering. The 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.
-
Zhang, Y., & Shell, D. A.
(2018).
Complete characterization of a class of privacy-preserving tracking problems. The International Journal of Robotics Research.
38(2-3), 299-315.
-
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.
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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.
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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.
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Kim, Y., & Shell, D. A.
(2017).
Using a Compliant, Unactuated Tail to Manipulate Objects. IEEE Robotics and Automation Letters.
2(1), 223-230.
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Nam, C., & Shell, D. A.
(2016).
Analyzing the Sensitivity of the Optimal Assignment in Probabilistic Multi-Robot Task Allocation. IEEE Robotics and Automation Letters.
2(1), 193-200.
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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.
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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.
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Liu, L., Shell, D. A., & Michael, N.
(2014).
From selfish auctioning to incentivized marketing. Autonomous Robots.
37(4), 417-430.
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Liu, L., & Shell, D. A.
(2013).
An anytime assignment algorithm: From local task swapping to global optimality. Autonomous Robots.
35(4), 271-286.
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Liu, L., & Shell, D. A.
(2013).
Physically routing robots in a multi-robot network: Flexibility through a three-dimensional matching graph. The International Journal of Robotics Research.
32(12), 1475-1494.
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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.
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Liu, L., & Shell, D. A.
(2012).
Large-scale multi-robot task allocation via dynamic partitioning and distribution. Autonomous Robots.
33(3), 291-307.
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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.
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Murphy, R., Shell, D., Guerin, A., Duncan, B., Fine, B., Pratt, K., & Zourntos, T.
(2010).
A Midsummer Night’s Dream (with flying robots). Autonomous Robots.
30(2), 143-156.
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Shell, D. A., & Matarić, M. J.
(2005).
Insights toward robot-assisted evacuation. Advanced Robotics.
19(8), 797-818.
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Tamjidi, A., Oftadeh, R., Chakravorty, S., & Shell, D.
(2019).
Efficient recursive distributed state estimation of hidden Markov models over unreliable networks. Autonomous Robots.
44(3-4), 321-338.
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chapter
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Shell, D. A., & Matarić, 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.
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Shell, D. A., & Matarić, 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.
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conference paper
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Li, L. i., Bayuelo, A., Bobadilla, L., Alam, T., & Shell, D. A.
(2019).
Coordinated multi-robot planning while preserving individual privacy. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
2188-2194.
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Shell, D. A., Huang, L. i., Becker, A. T., & O’Kane, J. M.
(2019).
Planning Coordinated Event Observation for Structured Narratives. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
7632-7638.
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Ghasemlou, S., OKane, J. M., & Shell, D. A.
(2018).
Delineating boundaries of feasibility between robot designs. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
422-429.
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Hsu, Y., Gopalswamy, S., Saripalli, S., & Shell, D. A.
(2018).
An MDP Model of Vehicle-Pedestrian Interaction at an Unsignalized Intersection. 2015 IEEE 81ST VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING).
1-6.
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Tamjidi, A., Oftadeh, R., Chakravorty, S., & Shell, D.
(2017).
Efficient Distributed State Estimation of Hidden Markov Models Over Unreliable Networks. 112-119.
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Qin, K., & Shell, D. A.
(2017).
Robots Going Round the Bend-A Comparative Study of Estimators for Anticipating River Meanders. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
4934-4940.
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Alam, T., Bobadilla, L., & Shell, D. A.
(2017).
Minimalist Robot Navigation and Coverage Using a Dynamical System Approach. 249-256.
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Saberifar, F. Z., O'Kane, J. M., & Shell, D. A.
(2017).
Inconsequential Improprieties: Filter Reduction in Probabilistic Worlds. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
4042-4048.
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Tamjidi, A., Chakravorty, S., & Shell, D.
(2016).
Unifying Consensus and Covariance Intersection for Decentralized State Estimation. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
125-130.
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Teshnizi, R. H., & Shell, D. A.
(2016).
Planning Motions for a Planar Robot Attached to a Stiff Tether. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
2759-2766.
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Saberifar, F. Z., Ghasemlou, S., O'Kane, J. M., & Shell, D. A.
(2016).
Set-labelled filters and sensor transformations. ROBOTICS: SCIENCE AND SYSTEMS XII.
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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.
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Liu, L., Michael, N., & Shell, D. A.
(2015).
Communication constrained task allocation with optimized local task swaps. Autonomous Robots.
429-444.
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Janpuangtong, S., Shell, D. A., & AAAI, ..
(2015).
Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources. 3981-3986.
-
Kim, J., & Shell, D. A.
(2015).
A New Model for Self-Organized Robotic Clustering: Understanding Boundary Induced Densities and Cluster Compactness. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
5858-5863.
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O'Kane, J. M., & Shell, D. A.
(2015).
Automatic Design of Discreet Discrete Filters. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
353-360.
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Nam, C., & Shell, D. A.
(2015).
When to do Your Own Thing: Analysis of Cost Uncertainties in Multi-Robot Task Allocation at Run-Time. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
1249-1254.
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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.
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Kim, Y., & Shell, D. A.
(2014).
Distributed Robotic Sampling of Non-homogeneous Spatio-Temporal Fields via Recursive Geometric Sub-division. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
557-562.
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Nam, C., & Shell, D. A.
(2014).
Assignment Algorithms for Modeling Resource Contention and Interference in Multi-Robot Task-Allocation. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
2158-2163.
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Teshnizi, R. H., & Shell, D. A.
(2014).
Computing Cell-Based Decompositions Dynamically for Planning Motions of Tethered Robots. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
6130-6135.
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Liu, L., & Shell, D. A.
(2014).
Multi-robot formation morphing through a graph matching problem. ALGORITHMIC FOUNDATION OF ROBOTICS VII.
291-306.
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Fine, B. T., & Shell, D. A.
(2013).
Eliciting Collective Behaviors through Automatically Generated Environments. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
3303-3308.
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O'Kane, J. M., & Shell, D. A.
(2013).
Finding concise plans: Hardness and algorithms. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
4803-4810.
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Kim, J., & Shell, D. A.
(2013).
Improving the performance of self-organized robotic clustering: Modeling and planning sequential changes to the division of labor. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
4314-4319.
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Ghoshal, A., & Shell, D. A.
(2013).
Covering Space with Simple Robots: From Chains to Random Trees. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
914-920.
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O'Kane, J. M., & Shell, D. A.
(2013).
Automatic Reduction of Combinatorial Filters. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
4082-4089.
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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. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
828-833.
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Drumwright, E., & Shell, D. A.
(2012).
Extensive Analysis of Linear Complementarity Problem (LCP) Solver Performance on Randomly Generated Rigid Body Contact Problems. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
5034-5039.
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Kristek, S. M., & Shell, D. A.
(2012).
Orienting Deformable Polygonal Parts without Sensors. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
973-979.
-
Liu, L., & Shell, D. A.
(2012).
Tunable Routing Solutions for Multi-Robot Navigation via the Assignment Problem: A 3D Representation of the Matching Graph. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
4800-4805.
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Mitra, T., & Shell, D. A.
(2012).
Cost, Precision, and Task Structure in Aggression-Based Arbitration for Minimalist Robot Cooperation. AD-HOC, MOBILE, AND WIRELESS NETWORKS.
431-441.
-
Fine, B. T., & Shell, D. A.
(2012).
Examining the Information Requirements for Flocking Motion. AD-HOC, MOBILE, AND WIRELESS NETWORKS.
442-452.
-
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.
-
Song, Y., Kim, J., & Shell, D. A.
(2012).
Self-organized Clustering of Square Objects by Multiple Robots. AD-HOC, MOBILE, AND WIRELESS NETWORKS.
308-315.
-
Fine, B. T., Shell, D. A., & IEEE, ..
(2011).
Flocking: don't need no stinkin' robot recognition. 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS.
5001-5006.
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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.
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Ghoshal, A., & Shell, D. A.
(2011).
Being there, being the RRT: Space-filling and searching in place with minimalist robots. 10-15.
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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. The International Journal of Robotics Research.
936-953.
-
Drumwright, E., & Shell, D. A.
(2011).
An Evaluation of Methods for Modeling Contact in Multibody Simulation. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
1695-1701.
-
Liu, L., Fine, B., Shell, D., & Klappenecker, A.
(2011).
Approximate Characterization of Multi-Robot Swarm “Shapes” in Sublinear-Time. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
2886-2891.
-
Liu, L., & Shell, D. A.
(2011).
Assessing optimal assignment under uncertainty: An interval-based algorithm. Robotics: Science and Systems.
121-128.
-
Duncan, B. A., Murphy, R. R., Shell, D., & Hopper, A. G.
(2010).
A midsummer night's dream: social proof in HRI. 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
91-92.
-
Drumwright, E., Hsu, J., Koenig, N., & Shell, D.
(2010).
Extending Open Dynamics Engine for Robotics Simulation. AD-HOC, MOBILE, AND WIRELESS NETWORKS.
38-50.
-
Drumwright, E., & Shell, D. A.
(2010).
Modeling Contact Friction and Joint Friction in Dynamic Robotic Simulation Using the Principle of Maximum Dissipation. ALGORITHMIC FOUNDATION OF ROBOTICS VII.
249-266.
-
Shell, D. A., & Matarió, 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.
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Shell, D. A., & Drumwright, E.
(2009).
Precise generalized contact point and normal determination for rigid body simulation. 2107-2108.
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Wainer, J., Feil-Seifer, D. J., Shell, D. A., & Matarić, M. J.
(2007).
Embodiment and Human-Robot Interaction: A Task-Based Perspective. 872-877.
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Shell, D. A., & Matarić, M. J.
(2006).
Principled synthesis for large-scale systems: Task sequencing. 207-216.
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Shell, D. A., & Matarić, M. J.
(2006).
On foraging strategies for large-scale multi-robot systems. 2717-2723.
-
Wainer, J., Feil-Seifer, D. J., Shell, D. A., & Matarić, M. J.
(2006).
The role of physical embodiment in human-robot interaction. 117-122.
-
Shell, D. A., & Matarić, M. J.
(2006).
Ergodic dynamics for large-scale distributed robot systems. AD-HOC, MOBILE, AND WIRELESS NETWORKS.
254-266.
-
Shell, D. A., Jones, C. V., & Matarić, M. J.
(2005).
Ergodic dynamicsbydesign: Aroute to predictable multi-robot systems. 291-297.
-
Shell, D. A., & Matarić, M. J.
(2004).
Directional audio beacon deployment: An assistive multi-robot application. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
2588-2594.
-
Shell, D. A., & Matarić, M. J.
(2003).
Human Motion-Based Environment Complexity Measures for Robotics. 2559-2564.
-
Li, L. i., Bayuelo, A., Bobadilla, L., Alam, T., & Shell, D. A.
(2019).
Coordinated multi-robot planning while preserving individual privacy. 1994 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION: PROCEEDINGS, VOLS 1-4.
2188-2194.
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
awards and honors
Teaching
teaching activities
- CSCE121 Intro Pgm Design Concept Instructor
- CSCE291 Hnr-research 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 Intellignce Instructor
- CSCE684 Professional Internship: In-ab Instructor
- CSCE685 Directed Studies Instructor
- CSCE691 Research Instructor
Works By Students
chaired theses and dissertations
-
Ahmed, Taahir David (2017-05). Dynamic Beamforming Without Phase Shifters.
-
Ghoshal, Asish (2012-05). 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 (2015-12). New Models of Self-Organized Multi-Robot Clustering.
-
Kim, Young Ho (2017-05). Manipulating Objects using Compliant, Unactuated Tails: Modeling and Planning.
-
Kristek, Shawn (2011-12). Orienting Deformable Polygonal Parts without Sensors.
-
Liu, Lantao (2013-05). Linear Sum Assignment Algorithms for Distributed Multi-robot Systems.
-
Mitra, Tanushree (2011-08). Cost, Precision, and Task Structure in Aggression-based Arbitration for Minimalist Robot Cooperation.
-
Nam, Changjoo (2016-08). 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
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