| 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 | 218 | 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 | 110* | 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 | 103 | 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 | 82 | 2019 |
| Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models A Majumdar, S Singh, A Mandlekar, M Pavone Robotics: Science and Systems, 2017 | 78 | 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 | 73 | 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 | 45 | 2018 |
| Robust Feedback Motion Planning via Contraction Theory S Singh, B Landry, A Majumdar, JJE Slotine, M Pavone International Journal of Robotics Research, 2019 | 44* | 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 | 37 | 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 | 28 | 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 | 28 | 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 | 22 | 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 | 16 | 2019 |
| Optimizing Trajectories with Closed-Loop Dynamic SQP S Singh, JJ Slotine, V Sindhwani ICRA 2022 [arXiv preprint arXiv:2109.07081], 2021 | 13 | 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 | 12 | 2021 |
| 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 | 8 | 2022 |
| 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 | 7 | 2023 |
| High fidelity modeling and control system synthesis for a drag-free microsatellite S Singh, S D’Amico, M Pavone ISSFD15, 2015 | 6 | 2015 |
| Single-level differentiable contact simulation S Le Cleac'h, M Schwager, Z Manchester, V Sindhwani, P Florence, ... IEEE Robotics and Automation Letters, 2023 | 4 | 2023 |
| Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models S Singh, S Tu, V Sindhwani arXiv preprint arXiv:2309.05803, 2023 | 3 | 2023 |
Marco PavoneStanford University and NVIDIAVerified email at stanford.edu
