受强制性开放获取政策约束的文章 - Dylan Shell了解详情
无法在其他位置公开访问的文章：1 篇
Bound to help: cooperative manipulation of objects via compliant, unactuated tails
YH Kim, DA Shell
Autonomous Robots 42 (8), 1563-1582, 2018
强制性开放获取政策： US National Science Foundation
可在其他位置公开访问的文章：58 篇
Concise planning and filtering: hardness and algorithms
JM O’Kane, DA Shell
IEEE Transactions on Automation Science and Engineering 14 (4), 1666-1681, 2017
强制性开放获取政策： US National Science Foundation
Analyzing the sensitivity of the optimal assignment in probabilistic multi-robot task allocation
C Nam, DA Shell
IEEE Robotics and Automation Letters 2 (1), 193-200, 2016
强制性开放获取政策： US National Science Foundation
Toward a language-theoretic foundation for planning and filtering
FZ Saberifar, S Ghasemlou, DA Shell, JM O’Kane
The International Journal of Robotics Research 38 (2-3), 236-259, 2019
强制性开放获取政策： US National Science Foundation
Coordinated multi-robot planning while preserving individual privacy
L Li, A Bayuelo, L Bobadilla, T Alam, DA Shell
2019 International Conference on Robotics and Automation (ICRA), 2188-2194, 2019
强制性开放获取政策： US National Science Foundation
Space-efficient filters for mobile robot localization from discrete limit cycles
T Alam, L Bobadilla, DA Shell
IEEE Robotics and Automation Letters 3 (1), 257-264, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Set-labelled filters and sensor transformations.
FZ Saberifar, S Ghasemlou, JM O'Kane, DA Shell
Robotics: Science and Systems, 2016
强制性开放获取政策： US National Science Foundation
Minimalist robot navigation and coverage using a dynamical system approach
T Alam, L Bobadilla, DA Shell
2017 First IEEE International Conference on Robotic Computing (IRC), 249-256, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Non-uniform robot densities in vibration driven swarms using phase separation theory
S Mayya, G Notomista, D Shell, S Hutchinson, M Egerstedt
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
强制性开放获取政策： US National Science Foundation
An MDP model of vehicle-pedestrian interaction at an unsignalized intersection
YC Hsu, S Gopalswamy, S Saripalli, DA Shell
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-6, 2018
强制性开放获取政策： US Department of Transportation
Complete characterization of a class of privacy-preserving tracking problems
Y Zhang, DA Shell
The International Journal of Robotics Research 38 (2-3), 299-315, 2019
强制性开放获取政策： US National Science Foundation
Robots in the huddle: Upfront computation to reduce global communication at run time in multirobot task allocation
C Nam, DA Shell
IEEE Transactions on Robotics 36 (1), 125-141, 2019
强制性开放获取政策： US National Science Foundation
Using a compliant, unactuated tail to manipulate objects
YH Kim, DA Shell
IEEE Robotics and Automation Letters 2 (1), 223-230, 2016
强制性开放获取政策： US National Science Foundation
On the design of minimal robots that can solve planning problems
DA Shell, JM O’Kane, FZ Saberifar
IEEE Transactions on Automation Science and Engineering 18 (3), 876-887, 2021
强制性开放获取政策： US National Science Foundation
Motion planning for a pair of tethered robots
RH Teshnizi, DA Shell
Autonomous Robots 45 (5), 693-707, 2021
强制性开放获取政策： US National Science Foundation
Eliminating the invariance on the loss landscape of linear autoencoders
R Oftadeh, J Shen, Z Wang, D Shell
International Conference on Machine Learning, 7405-7413, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Abstractions for computing all robotic sensors that suffice to solve a planning problem
Y Zhang, DA Shell
2020 IEEE International Conference on Robotics and Automation (ICRA), 8469-8475, 2020
强制性开放获取政策： US National Science Foundation
A pomdp treatment of vehicle-pedestrian interaction: Implicit coordination via uncertainty-aware planning
YC Hsu, S Gopalswamy, S Saripalli, DA Shell
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
强制性开放获取政策： US Department of Transportation
The hardness of minimizing design cost subject to planning problems
FZ Saberifar, JM O’Kane, DA Shell
Algorithmic Foundations of Robotics XIII: Proceedings of the 13th Workshop …, 2020
强制性开放获取政策： US National Science Foundation
Planning coordinated event observation for structured narratives
DA Shell, L Huang, AT Becker, JM O’Kane
2019 International Conference on Robotics and Automation (ICRA), 7632-7638, 2019
强制性开放获取政策： US National Science Foundation
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