default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDylan A. Shell
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j32]Shoudong Huang
, Kris Hauser, Dylan A. Shell:
Selected papers from RSS2022. Int. J. Robotics Res. 43(4): 387-388 (2024)- [c94]Dylan A. Shell, Jason M. O'Kane:
Knowledge acquisition plans: Generation, combination, and execution. ICRA 2024: 2556-2562 - [i27]Kyle Baldes, Diptanil Chaudhuri, Jason M. O'Kane, Dylan A. Shell:
A Model for Optimal Resilient Planning Subject to Fallible Actuators. CoRR abs/2405.11402 (2024) - [i26]Yulin Zhang, Dylan A. Shell:
An abstract theory of sensor eventification. CoRR abs/2407.00563 (2024) - 2023
- [j31]M. Ani Hsieh, Dylan A. Shell:
Editorial. Auton. Robots 47(5): 503-504 (2023) - [j30]Grace McFassel, Dylan A. Shell:
Reactivity and statefulness: Action-based sensors, plans, and necessary state. Int. J. Robotics Res. 42(6): 385-411 (2023) - [j29]Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Planning to chronicle: Optimal policies for narrative observation of unpredictable events. Int. J. Robotics Res. 42(6): 412-432 (2023) - [j28]M. Ani Hsieh, Dylan A. Shell:
Selected papers from RSS2021. Int. J. Robotics Res. 42(10): 703-704 (2023) - [c93]Patrick Zhong, Federico Rossi, Dylan A. Shell:
Optimizing Pre-Scheduled, Intermittently-Observed MDPs. CDC 2023: 2244-2251 - [c92]Murtadha Alsayegh, Jose Fuentes, Leonardo Bobadilla, Dylan A. Shell:
Oblivious Markov Decision Processes: Planning and Policy Execution. CDC 2023: 3850-3857 - [c91]Yulin Zhang, Dylan A. Shell:
A general class of combinatorial filters that can be minimized efficiently. ICRA 2023: 1645-1651 - [c90]Dylan A. Shell, Jason M. O'Kane:
Decision diagrams as plans: Answering observation-grounded queries. ICRA 2023: 1659-1665 - [c89]Diptanil Chaudhuri, Dylan A. Shell:
A causal decoupling approach to efficient planning for logistics problems with stateful stochastic demand. ICRA 2023: 5709-5715 - [c88]Grace McFassel, Dylan A. Shell:
Infrastructure to support robots: a practical, scalable model for comparative evaluation of design choices. IROS 2023: 1-8 - [c87]Rishi Phatak, Dylan A. Shell:
Sensor Selection for Fine-Grained Behavior Verification that Respects Privacy. IROS 2023: 8628-8635 - [c86]Rishi Phatak, Dylan A. Shell:
Sensor Selection for Fine-Grained Behavior Verification that Respects Privacy. IROS 2023: 10117-10124 - [i25]Patrick Zhong, Federico Rossi, Dylan A. Shell:
Optimizing pre-scheduled, intermittently-observed MDPs. CoRR abs/2305.09105 (2023) - [i24]Rishi Phatak, Dylan A. Shell:
Sensor selection for fine-grained behavior verification that respects privacy. CoRR abs/2307.13203 (2023) - [i23]Yulin Zhang, Dylan A. Shell:
A fixed-parameter tractable algorithm for combinatorial filter reduction. CoRR abs/2309.06664 (2023) - 2022
- [c85]Murtadha Alsayegh, Peter Vanegas, Abdullah Al Redwan Newaz, Leonardo Bobadilla, Dylan A. Shell:
Privacy-Preserving Multi-Robot Task Allocation via Secure Multi-Party Computation. ECC 2022: 1274-1281 - [c84]Fatemeh Zahra Saberifar, Dylan A. Shell, Jason M. O'Kane:
Charting the trade-off between design complexity and plan execution under probabilistic actions. ICRA 2022: 135-141 - [c83]Yulin Zhang, Dylan A. Shell:
On nondeterminism in combinatorial filters. ICRA 2022: 4378-4384 - [c82]Federico Rossi, Dylan A. Shell:
Planning under periodic observations: bounds and bounding-based solutions. IROS 2022: 11751-11758 - [c81]Yulin Zhang, Dylan A. Shell:
Nondeterminism Subject to Output Commitment in Combinatorial Filters. WAFR 2022: 205-222 - [e3]Kris Hauser, Dylan A. Shell, Shoudong Huang:
Robotics: Science and Systems XVIII, New York City, NY, USA, June 27 - July 1, 2022. 2022, ISBN 978-0-9923747-8-5 [contents] - [i22]Yulin Zhang, Dylan A. Shell:
Nondeterminism subject to output commitment in combinatorial filters. CoRR abs/2204.00184 (2022) - [i21]Federico Rossi, Dylan A. Shell:
Planning under periodic observations: bounds and bounding-based solutions. CoRR abs/2208.03351 (2022) - [i20]Yulin Zhang, Dylan A. Shell:
A general class of combinatorial filters that can be minimized efficiently. CoRR abs/2209.04567 (2022) - 2021
- [j27]Reza H. Teshnizi, Dylan A. Shell:
Motion planning for a pair of tethered robots. Auton. Robots 45(5): 693-707 (2021) - [j26]Dylan A. Shell, Jason M. O'Kane, Fatemeh Zahra Saberifar:
On the Design of Minimal Robots That Can Solve Planning Problems. IEEE Trans Autom. Sci. Eng. 18(3): 876-887 (2021) - [j25]Amirhossein Tamjidi, Reza Oftadeh, Mohamed Naveed Gul Mohamed, Dan Yu, Suman Chakravorty, Dylan A. Shell:
Unifying Consensus and Covariance Intersection for Efficient Distributed State Estimation Over Unreliable Networks. IEEE Trans. Robotics 37(5): 1525-1538 (2021) - [c80]William E. Curran, Cesar A. Rojas, Leonardo Bobadilla, Dylan A. Shell:
Oblivious Sensor Fusion via Secure Multi-Party Combinatorial Filter Evaluation. CDC 2021: 5620-5627 - [c79]Diptanil Chaudhuri, Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Tractable Planning for Coordinated Story Capture: Sequential Stochastic Decoupling. DARS 2021: 256-268 - [c78]Diptanil Chaudhuri, Rhema Ike, Hazhar Rahmani, Dylan A. Shell, Aaron T. Becker, Jason M. O'Kane:
Conditioning Style on Substance: Plans for Narrative Observation. ICRA 2021: 2687-2693 - [c77]Rachel A. Moan, Dylan A. Shell, Jason M. O'Kane:
Multiplexing Robot Experiments: Theoretical Underpinnings, Conditions for Existence, and Demonstrations. ICRA 2021: 8904-8910 - [c76]Yulin Zhang, Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Accelerating combinatorial filter reduction through constraints. ICRA 2021: 9703-9709 - [c75]Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Sensor selection for detecting deviations from a planned itinerary. IROS 2021: 6511-6518 - [c74]Yulin Zhang, Dylan A. Shell:
Cover Combinatorial Filters and Their Minimization Problem. WAFR 2021: 90-106 - [c73]Grace McFassel, Dylan A. Shell:
Every Action-Based Sensor. WAFR 2021: 176-193 - [c72]Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Planning to Chronicle. WAFR 2021: 277-293 - [c71]Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell:
Experiments with Tractable Feedback in Robotic Planning Under Uncertainty: Insights over a Wide Range of Noise Regimes. WAFR 2021: 414-431 - [e2]Dylan A. Shell, Marc Toussaint, M. Ani Hsieh:
Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021. 2021, ISBN 978-0-9923747-7-8 [contents] - [e1]Steven M. LaValle, Ming Lin, Timo Ojala, Dylan A. Shell, Jingjin Yu:
Algorithmic Foundations of Robotics XIV, Proceedings of the Fourteenth Workshop on the Algorithmic Foundations of Robotics, WAFR 2021, Oulu, Finland, June 21-23, 2021. Springer Proceedings in Advanced Robotics 17, Springer 2021, ISBN 978-3-030-66722-1 [contents] - [i19]Reza H. Teshnizi, Dylan A. Shell:
Motion Planning for a Pair of Tethered Robots. CoRR abs/2102.13212 (2021) - [i18]Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Sensor selection for detecting deviations from a planned itinerary. CoRR abs/2103.07029 (2021) - [i17]Yulin Zhang, Dylan A. Shell:
Lattices of sensors reconsidered when less information is preferred. CoRR abs/2106.00805 (2021) - [i16]Yulin Zhang, Dylan A. Shell:
On nondeterminism in combinatorial filters. CoRR abs/2107.07111 (2021) - 2020
- [j24]Amirhossein Tamjidi, Reza Oftadeh, Suman Chakravorty, Dylan A. Shell:
Efficient recursive distributed state estimation of hidden Markov models over unreliable networks. Auton. Robots 44(3-4): 321-338 (2020) - [j23]Changjoo Nam, Dylan A. Shell:
Robots in the Huddle: Upfront Computation to Reduce Global Communication at Run Time in Multirobot Task Allocation. IEEE Trans. Robotics 36(1): 125-141 (2020) - [c70]Reza Oftadeh, Jiayi Shen, Zhangyang Wang, Dylan A. Shell:
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders. ICML 2020: 7405-7413 - [c69]Yulin Zhang, Dylan A. Shell:
Abstractions for computing all robotic sensors that suffice to solve a planning problem. ICRA 2020: 8469-8475 - [c68]Dylan A. Shell, Jason M. O'Kane:
Reality as a simulation of reality: robot illusions, fundamental limits, and a physical demonstration. ICRA 2020: 10327-10334 - [c67]Ya-Chuan Hsu, Swaminathan Gopalswamy, Srikanth Saripalli, Dylan A. Shell:
A POMDP Treatment of Vehicle-Pedestrian Interaction: Implicit Coordination via Uncertainty-Aware Planning. IROS 2020: 1984-1991 - [i15]Yulin Zhang, Dylan A. Shell:
Cover Combinatorial Filters and their Minimization Problem. CoRR abs/2002.07153 (2020) - [i14]Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell:
Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes. CoRR abs/2002.10505 (2020) - [i13]Yulin Zhang, Dylan A. Shell:
Abstractions for computing all robotic sensors that suffice to solve a planning problem. CoRR abs/2005.10994 (2020) - [i12]Grace McFassel, Dylan A. Shell:
Every Action Based Sensor. CoRR abs/2006.04003 (2020) - [i11]Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Planning to Chronicle. CoRR abs/2011.02135 (2020) - [i10]Yulin Zhang, Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Accelerating combinatorial filter reduction through constraints. CoRR abs/2011.03471 (2020)
2010 – 2019
- 2019
- [j22]Fatemeh Zahra Saberifar, Shervin Ghasemlou, Dylan A. Shell, Jason M. O'Kane:
Toward a language-theoretic foundation for planning and filtering. Int. J. Robotics Res. 38(2-3) (2019) - [j21]Yulin Zhang, Dylan A. Shell:
Complete characterization of a class of privacy-preserving tracking problems. Int. J. Robotics Res. 38(2-3) (2019) - [c66]Li Li, Alfredo Bayuelo, Leonardo Bobadilla, Tauhidul Alam, Dylan A. Shell:
Coordinated multi-robot planning while preserving individual privacy. ICRA 2019: 2188-2194 - [c65]Dylan A. Shell, Li Huang, Aaron T. Becker, Jason M. O'Kane:
Planning Coordinated Event Observation for Structured Narratives. ICRA 2019: 7632-7638 - [c64]Siddharth Mayya, Gennaro Notomista, Dylan A. Shell, Seth Hutchinson, Magnus Egerstedt:
Non-Uniform Robot Densities in Vibration Driven Swarms Using Phase Separation Theory. IROS 2019: 4106-4112 - [i9]Siddharth Mayya, Gennaro Notomista, Dylan A. Shell, Seth Hutchinson, Magnus Egerstedt:
Achieving Non-Uniform Densities in Vibration Driven Robot Swarms Using Phase Separation Theory. CoRR abs/1902.10662 (2019) - [i8]Dylan A. Shell, Jason M. O'Kane:
Reality as a simulation of reality: robot illusions, fundamental limits, and a physical demonstration. CoRR abs/1909.03584 (2019) - [i7]Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell:
Decoupling stochastic optimal control problems for efficient solution: insights from experiments across a wide range of noise regimes. CoRR abs/1909.08585 (2019) - 2018
- [j20]Young-Ho Kim, Dylan A. Shell:
Bound to help: cooperative manipulation of objects via compliant, unactuated tails. Auton. Robots 42(8): 1563-1582 (2018) - [j19]Tauhidul Alam, Leonardo Bobadilla, Dylan A. Shell:
Space-Efficient Filters for Mobile Robot Localization from Discrete Limit Cycles. IEEE Robotics Autom. Lett. 3(1): 257-264 (2018) - [c63]Shervin Ghasemlou, Jason M. O'Kane, Dylan A. Shell:
Delineating boundaries of feasibility between robot designs. IROS 2018: 422-429 - [c62]Ya-Chuan Hsu, Swaminathan Gopalswamy, Srikanth Saripalli, Dylan A. Shell:
An MDP Model of Vehicle-Pedestrian Interaction at an Unsignalized Intersection. VTC Fall 2018: 1-6 - [c61]Yulin Zhang, Dylan A. Shell, Jason M. O'Kane:
Finding Plans Subject to Stipulations on What Information They Divulge. WAFR 2018: 106-124 - [c60]Fatemeh Zahra Saberifar, Jason M. O'Kane, Dylan A. Shell:
The Hardness of Minimizing Design Cost Subject to Planning Problems. WAFR 2018: 868-883 - [i6]Yulin Zhang, Dylan A. Shell:
Complete characterization of a class of privacy-preserving tracking problems. CoRR abs/1806.00114 (2018) - [i5]Alexandra Q. Nilles, Dylan A. Shell, Jason M. O'Kane:
Robot Design: Formalisms, Representations, and the Role of the Designer. CoRR abs/1806.05157 (2018) - [i4]Fatemeh Zahra Saberifar, Shervin Ghasemlou, Dylan A. Shell, Jason M. O'Kane:
Toward a language-theoretic foundation for planning and filtering. CoRR abs/1807.08856 (2018) - [i3]Yulin Zhang, Dylan A. Shell, Jason M. O'Kane:
Finding plans subject to stipulations on what information they divulge. CoRR abs/1809.09682 (2018) - [i2]Yulin Zhang, Dylan A. Shell, Jason M. O'Kane:
What does my knowing your plans tell me? CoRR abs/1810.03873 (2018) - 2017
- [j18]Plamen Ivanov, Dylan A. Shell:
Hark! Who goes there? Concurrent association of communication channels for multiple mobile robots. Auton. Robots 41(4): 811-829 (2017) - [j17]Changjoo Nam, Dylan A. Shell:
Analyzing the Sensitivity of the Optimal Assignment in Probabilistic Multi-Robot Task Allocation. IEEE Robotics Autom. Lett. 2(1): 193-200 (2017) - [j16]Young-Ho Kim, Dylan A. Shell:
Using a Compliant, Unactuated Tail to Manipulate Objects. IEEE Robotics Autom. Lett. 2(1): 223-230 (2017) - [j15]Jason M. O'Kane, Dylan A. Shell:
Concise Planning and Filtering: Hardness and Algorithms. IEEE Trans Autom. Sci. Eng. 14(4): 1666-1681 (2017) - [c59]Kai Qin, Dylan A. Shell:
Robots going round the bend - A comparative study of estimators for anticipating river meanders. ICRA 2017: 4934-4940 - [c58]Tauhidul Alam, Leonardo Bobadilla, Dylan A. Shell:
Minimalist Robot Navigation and Coverage Using a Dynamical System Approach. IRC 2017: 249-256 - [c57]Fatemeh Zahra Saberifar, Jason M. O'Kane, Dylan A. Shell:
Inconsequential improprieties: Filter reduction in probabilistic worlds. IROS 2017: 4042-4048 - [c56]Amirhossein Tamjidi, Reza Oftadeh, Suman Chakravorty, Dylan A. Shell:
Efficient distributed state estimation of hidden Markov Models over unreliable networks. MRS 2017: 112-119 - 2016
- [j14]Sasin Janpuangtong, Dylan A. Shell:
Helping Novices Avoid the Hazards of Data: Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources. AI Mag. 37(2): 19-32 (2016) - [c55]Changjoo Nam, Dylan A. Shell:
Bundling Policies for Sequential Stochastic Tasks in Multi-robot Systems. DARS 2016: 237-252 - [c54]Reza H. Teshnizi, Dylan A. Shell:
Planning motions for a planar robot attached to a stiff tether. ICRA 2016: 2759-2766 - [c53]Amirhossein Tamjidi, Suman Chakravorty, Dylan A. Shell:
Unifying consensus and covariance intersection for decentralized state estimation. IROS 2016: 125-130 - [c52]Fatemeh Zahra Saberifar, Shervin Ghasemlou, Jason M. O'Kane, Dylan A. Shell:
Set-labelled filters and sensor transformations. Robotics: Science and Systems 2016 - [c51]Yulin Zhang, Dylan A. Shell:
You Can't Save all the Pandas: Impossibility Results for Privacy-Preserving Tracking. WAFR 2016: 176-191 - [c50]Shervin Ghasemlou, Fatemeh Zahra Saberifar, Jason M. O'Kane, Dylan A. Shell:
Beyond the Planning Potpourri: Reasoning About Label Transformations on Procrustean Graphs. WAFR 2016: 224-239 - [i1]Amirhossein Tamjidi, Suman Chakravorty, Dylan A. Shell:
Decentralized State Estimation via a Hybrid of Consensus and Covariance intersection. CoRR abs/1603.00955 (2016) - 2015
- [j13]Lantao Liu, Nathan Michael, Dylan A. Shell:
Communication constrained task allocation with optimized local task swaps. Auton. Robots 39(3): 429-444 (2015) - [j12]Changjoo Nam, Dylan A. Shell:
Assignment Algorithms for Modeling Resource Contention in Multirobot Task Allocation. IEEE Trans Autom. Sci. Eng. 12(3): 889-900 (2015) - [c49]Sasin Janpuangtong, Dylan A. Shell:
Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources. AAAI 2015: 3981-3986 - [c48]Jason M. O'Kane, Dylan A. Shell:
Automatic design of discreet discrete filters. ICRA 2015: 353-360 - [c47]Changjoo Nam, Dylan A. Shell:
When to do your own thing: Analysis of cost uncertainties in multi-robot task allocation at run-time. ICRA 2015: 1249-1254 - [c46]Jung-Hwan Kim, Dylan A. Shell:
A new model for self-organized robotic clustering: Understanding boundary induced densities and cluster compactness. ICRA 2015: 5858-5863 - [c45]Grant A. Wilde, Robin R. Murphy, Dylan A. Shell, Craig M. Marianno:
A man-packable unmanned surface vehicle for radiation localization and forensics. SSRR 2015: 1-6 - 2014
- [j11]Lantao Liu, Dylan A. Shell, Nathan Michael:
From selfish auctioning to incentivized marketing. Auton. Robots 37(4): 417-430 (2014) - [c44]Plamen Ivanov, Dylan A. Shell:
Associating Nearby Robots to Their Voices. ALIFE 2014: 274-281 - [c43]Young-Ho Kim, Dylan A. Shell:
Distributed robotic sampling of non-homogeneous spatio-temporal fields via recursive geometric sub-division. ICRA 2014: 557-562 - [c42]Changjoo Nam, Dylan A. Shell:
Assignment algorithms for modeling resource contention and interference in multi-robot task-allocation. ICRA 2014: 2158-2163 - [c41]Reza H. Teshnizi, Dylan A. Shell:
Computing cell-based decompositions dynamically for planning motions of tethered robots. ICRA 2014: 6130-6135 - [c40]Lantao Liu, Nathan Michael, Dylan A. Shell:
Fully Decentralized Task Swaps with Optimized Local Searching. Robotics: Science and Systems 2014 - 2013
- [j10]Benjamin T. Fine, Dylan A. Shell:
Unifying microscopic flocking motion models for virtual, robotic, and biological flock members. Auton. Robots 35(2-3): 195-219 (2013) - [j9]Lantao Liu, Dylan A. Shell:
An anytime assignment algorithm: From local task swapping to global optimality. Auton. Robots 35(4): 271-286 (2013) - [j8]Lantao Liu, Dylan A. Shell:
Physically routing robots in a multi-robot network: Flexibility through a three-dimensional matching graph. Int. J. Robotics Res. 32(12): 1475-1494 (2013) - [c39]Asish Ghoshal, Dylan A. Shell:
Covering space with simple robots: From chains to random trees. ICRA 2013: 914-920 - [c38]Jason M. O'Kane, Dylan A. Shell:
Automatic reduction of combinatorial filters. ICRA 2013: 4082-4089 - [c37]Benjamin T. Fine, Dylan A. Shell:
Eliciting collective behaviors through automatically generated environments. IROS 2013: 3303-3308 - [c36]Jung-Hwan Kim, Dylan A. Shell:
Improving the performance of self-organized robotic clustering: Modeling and planning sequential changes to the division of labor. IROS 2013: 4314-4319 - [c35]Jason M. O'Kane, Dylan A. Shell:
Finding concise plans: Hardness and algorithms. IROS 2013: 4803-4810 - [c34]Lantao Liu, Dylan A. Shell:
Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing. Robotics: Science and Systems 2013 - 2012
- [j7]Lantao Liu, Dylan A. Shell:
Large-scale multi-robot task allocation via dynamic partitioning and distribution. Auton. Robots 33(3): 291-307 (2012) - [j6]Young-Ho Kim, Sang-Wook Lee, Hyun Seung Yang, Dylan A. Shell:
Toward autonomous robotic containment booms: visual servoing for robust inter-vehicle docking of surface vehicles. Intell. Serv. Robotics 5(1): 1-18 (2012) - [c33]Yong Song, Jung-Hwan Kim, Dylan A. Shell:
Self-organized Clustering of Square Objects by Multiple Robots. ANTS 2012: 308-315 - [c32]Lantao Liu, Dylan A. Shell:
Multi-Robot Formation Morphing through a Graph Matching Problem. DARS 2012: 291-306 - [c31]Lantao Liu, Dylan A. Shell:
Tunable routing solutions for multi-robot navigation via the assignment problem: A 3D representation of the matching graph. ICRA 2012: 4800-4805 - [c30]Lantao Liu, Dylan A. Shell:
An efficient distributed topo-geometric spatial density estimation method for multi-robot systems. IROS 2012: 828-833 - [c29]Shawn M. Kristek, Dylan A. Shell:
Orienting deformable polygonal parts without sensors. IROS 2012: 973-979 - [c28]Evan M. Drumwright, Dylan A. Shell:
Extensive analysis of Linear Complementarity Problem (LCP) solver performance on randomly generated rigid body contact problems. IROS 2012: 5034-5039 - [c27]