Sumeet Singh
Sumeet Singh
Research Scientist, Google Brain Robotics
Verified email at - Homepage
Cited by
Cited by
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
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
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
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization
S Singh, SM Richards, V Sindhwani, JJE Slotine, M Pavone
International Journal of Robotics Research, 2019
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models
A Majumdar, S Singh, A Mandlekar, M Pavone
Robotics: Science and Systems, 2017
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
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
Robust Feedback Motion Planning via Contraction Theory
S Singh, B Landry, A Majumdar, JJE Slotine, M Pavone
International Journal of Robotics Research, 2019
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
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
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
Learning Stabilizable Dynamical Systems via Control Contraction Metrics
S Singh, V Sindhwani, JJ Slotine, M Pavone
Workshop on the Algorithmic Foundations of Robotics, 2018
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
Optimizing Trajectories with Closed-Loop Dynamic SQP
S Singh, JJ Slotine, V Sindhwani
ICRA 2022 [arXiv preprint arXiv:2109.07081], 2021
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
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
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
High fidelity modeling and control system synthesis for a drag-free microsatellite
S Singh, S D’Amico, M Pavone
ISSFD15, 2015
Single-level differentiable contact simulation
S Le Cleac'h, M Schwager, Z Manchester, V Sindhwani, P Florence, ...
IEEE Robotics and Automation Letters, 2023
Multiscale Sensor Fusion and Continuous Control with Neural CDEs
S Singh, FMC Ramirez, J Varley, A Zeng, V Sindhwani
IROS 2022 [arXiv preprint arXiv:2203.08715], 2022
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