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Sumeet Singh
Sumeet Singh
Research Scientist, Google Brain Robotics
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Robust online motion planning via contraction theory and convex optimization
S Singh, A Majumdar, JJ Slotine, M Pavone
International Conference on Robotics and Automation, 2017
2312017
Robots that ask for help: Uncertainty alignment for large language model planners
AZ Ren, A Dixit, A Bodrova, S Singh, S Tu, N Brown, P Xu, L Takayama, ...
arXiv preprint arXiv:2307.01928, 2023
1722023
A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms
S Singh, YL Chow, A Majumdar, M Pavone
IEEE Transactions on Automatic Control, 2017
116*2017
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization
S Singh, SM Richards, V Sindhwani, JJE Slotine, M Pavone
International Journal of Robotics Research, 2019
892019
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models
A Majumdar, S Singh, A Mandlekar, M Pavone
Robotics: Science and Systems, 2017
822017
Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach
S Singh, M Chen, SL Herbert, CJ Tomlin, M Pavone
Workshop on the Algorithmic Foundations of Robotics, 2018
742018
Robust Feedback Motion Planning via Contraction Theory
S Singh, B Landry, A Majumdar, JJE Slotine, M Pavone
International Journal of Robotics Research, 2019
52*2019
Cooperative Object Transport in 3D with Multiple Quadrotors using No Peer Communication
Z Wang, M Singh, Sumeet, Pavone, M Schwager
International Conference on Robotics and Automation, 2018
462018
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
X Xiao, T Zhang, K Choromanski, E Lee, A Francis, J Varley, S Tu, ...
arXiv preprint arXiv:2209.10780, 2022
452022
Trajectory optimization with optimization-based dynamics
TA Howell, S Le Cleac’h, S Singh, P Florence, Z Manchester, ...
IEEE Robotics and Automation Letters 7 (3), 6750-6757, 2022
362022
Risk-sensitive Inverse Reinforcement Learning via Semi-and Non-Parametric Methods
S Singh, J Lacotte, A Majumdar, M Pavone
International Journal of Robotics Research, 2018
302018
Learning Stabilizable Dynamical Systems via Control Contraction Metrics
S Singh, V Sindhwani, JJ Slotine, M Pavone
Workshop on the Algorithmic Foundations of Robotics, 2018
242018
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization
T Lew, S Singh, M Prats, J Bingham, J Weisz, B Holson, X Zhang, ...
arXiv preprint arXiv:2210.10865, 2022
182022
Reduced order model predictive control for setpoint tracking
J Lorenzetti, B Landry, S Singh, M Pavone
2019 18th European Control Conference (ECC), 299-306, 2019
172019
How to prompt your robot: A promptbook for manipulation skills with code as policies
MG Arenas, T Xiao, S Singh, V Jain, A Ren, Q Vuong, J Varley, A Herzog, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 4340-4348, 2024
162024
Optimizing Trajectories with Closed-Loop Dynamic SQP
S Singh, JJ Slotine, V Sindhwani
ICRA 2022 [arXiv preprint arXiv:2109.07081], 2021
162021
Safe motion planning with tubes and contraction metrics
S Singh, H Tsukamoto, BT Lopez, SJ Chung, JJ Slotine
2021 60th IEEE Conference on Decision and Control (CDC), 2943-2948, 2021
132021
RoboPianist: A Benchmark for High-Dimensional Robot Control
K Zakka, L Smith, N Gileadi, T Howell, XB Peng, S Singh, Y Tassa, ...
arXiv preprint arXiv:2304.04150, 2023
112023
Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity
J Varley, S Singh, D Jain, K Choromanski, A Zeng, SBR Chowdhury, ...
arXiv preprint arXiv:2404.03570, 2024
102024
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
HTL Chiang, Z Xu, Z Fu, MG Jacob, T Zhang, TWE Lee, W Yu, C Schenck, ...
arXiv preprint arXiv:2407.07775, 2024
82024
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