Somil Bansal
Title
Cited by
Cited by
Year
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
1602017
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
1552017
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
1062016
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
992018
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
752020
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
742017
Plug-and-play model predictive control for electric vehicle charging and voltage control in smart grids
S Bansal, MN Zeilinger, CJ Tomlin
53rd IEEE Conference on Decision and Control, 5894-5900, 2014
422014
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
412019
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
37*2018
Mbmf: Model-based priors for model-free reinforcement learning
S Bansal, R Calandra, K Chua, S Levine, C Tomlin
arXiv preprint arXiv:1709.03153, 2017
352017
Safe sequential path planning of multi-vehicle systems under presence of disturbances and imperfect information
S Bansal, M Chen, JF Fisac, CJ Tomlin
American Control Conference, 2017
30*2017
Precision measurement of the structure of the CMS inner tracking system using nuclear interactions
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, E Asilar, T Bergauer, ...
Journal of Instrumentation 13, 2018
292018
Provably safe and scalable multivehicle trajectory planning
S Bansal, M Chen, K Tanabe, CJ Tomlin
IEEE Transactions on Control Systems Technology, 2020
20*2020
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
182019
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
172017
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
142020
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
122021
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
102020
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
102019
A general system decomposition method for computing reachable sets and tubes
M Chen, SL Herbert, MS Vashishtha, S Bansal, CJ Tomlin
arXiv preprint arXiv:1611.00122, 2016
72016
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Articles 1–20