受强制性开放获取政策约束的文章 - Somil Bansal了解详情
可在其他位置公开访问的文章：21 篇
Hamilton-jacobi reachability: A brief overview and recent advances
S Bansal, M Chen, S Herbert, CJ Tomlin
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2242-2253, 2017
强制性开放获取政策： US National Science Foundation, US National Aeronautics and Space Administration
FaSTrack: A modular framework for fast and guaranteed safe motion planning
SL Herbert, M Chen, SJ Han, S Bansal, JF Fisac, CJ Tomlin
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1517-1522, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Decomposition of reachable sets and tubes for a class of nonlinear systems
M Chen, SL Herbert, MS Vashishtha, S Bansal, CJ Tomlin
IEEE Transactions on Automatic Control 63 (11), 3675-3688, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense, Natural Sciences …
Learning quadrotor dynamics using neural network for flight control
S Bansal, AK Akametalu, FJ Jiang, F Laine, CJ Tomlin
2016 IEEE 55th Conference on Decision and Control (CDC), 4653-4660, 2016
强制性开放获取政策： US National Science Foundation
Combining optimal control and learning for visual navigation in novel environments
S Bansal, V Tolani, S Gupta, J Malik, C Tomlin
Conference on Robot Learning, 420-429, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Deepreach: A deep learning approach to high-dimensional reachability
S Bansal, CJ Tomlin
2021 IEEE International Conference on Robotics and Automation (ICRA), 1817-1824, 2021
强制性开放获取政策： US Department of Defense
Goal-driven dynamics learning via Bayesian optimization
S Bansal, R Calandra, T Xiao, S Levine, CJ Tomlin
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5168-5173, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
An efficient reachability-based framework for provably safe autonomous navigation in unknown environments
A Bajcsy, S Bansal, E Bronstein, V Tolani, CJ Tomlin
2019 IEEE 58th Conference on Decision and Control (CDC), 1758-1765, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Fastrack: a modular framework for real-time motion planning and guaranteed safe tracking
M Chen, SL Herbert, H Hu, Y Pu, JF Fisac, S Bansal, SJ Han, CJ Tomlin
IEEE Transactions on Automatic Control 66 (12), 5861-5876, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Robust sequential trajectory planning under disturbances and adversarial intruder
M Chen, S Bansal, JF Fisac, CJ Tomlin
IEEE Transactions on Control Systems Technology 27 (4), 1566-1582, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense, Natural Sciences …
Visual navigation among humans with optimal control as a supervisor
V Tolani, S Bansal, A Faust, C Tomlin
IEEE Robotics and Automation Letters 6 (2), 2288-2295, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Reachability-based safety guarantees using efficient initializations
SL Herbert, S Bansal, S Ghosh, CJ Tomlin
2019 IEEE 58th Conference on Decision and Control (CDC), 4810-4816, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Safe sequential path planning under disturbances and imperfect information
S Bansal, M Chen, JF Fisac, CJ Tomlin
2017 American Control Conference (ACC), 5550-5555, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Plug-and-play model predictive control for load shaping and voltage control in smart grids
C Le Floch, S Bansal, CJ Tomlin, SJ Moura, MN Zeilinger
IEEE Transactions on Smart Grid 10 (3), 2334-2344, 2017
强制性开放获取政策： US National Science Foundation, Swiss National Science Foundation
Provably safe and scalable multivehicle trajectory planning
S Bansal, M Chen, K Tanabe, CJ Tomlin
IEEE Transactions on Control Systems Technology 29 (6), 2473-2489, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
A hamilton-jacobi reachability-based framework for predicting and analyzing human motion for safe planning
S Bansal, A Bajcsy, E Ratner, AD Dragan, CJ Tomlin
2020 IEEE International Conference on Robotics and Automation (ICRA), 7149-7155, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Generating robust supervision for learning-based visual navigation using hamilton-jacobi reachability
A Li, S Bansal, G Giovanis, V Tolani, C Tomlin, M Chen
Learning for Dynamics and Control, 500-510, 2020
强制性开放获取政策： US Department of Defense, Natural Sciences and Engineering Research Council …
A new simulation metric to determine safe environments and controllers for systems with unknown dynamics
S Ghosh, S Bansal, A Sangiovanni-Vincentelli, SA Seshia, C Tomlin
Proceedings of the 22nd ACM International Conference on Hybrid Systems …, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Computation of regions of attraction for hybrid limit cycles using reachability: An application to walking robots
JJ Choi, A Agrawal, K Sreenath, CJ Tomlin, S Bansal
IEEE Robotics and Automation Letters 7 (2), 4504-4511, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Closed-loop model selection for kernel-based models using bayesian optimization
T Beckers, S Bansal, CJ Tomlin, S Hirche
2019 IEEE 58th Conference on Decision and Control (CDC), 828-834, 2019
强制性开放获取政策： European Commission
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