| SymPy: symbolic computing in Python A Meurer, CP Smith, M Paprocki, O Čertík, SB Kirpichev, M Rocklin, ... PeerJ Computer Science 3, e103, 2017 | 2205 | 2017 |
| Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation J Liang, M Sharma, A LaGrassa, S Vats, S Saxena, O Kroemer 2022 International Conference on Robotics and Automation (ICRA), 6351-6357, 2022 | 45 | 2022 |
| Multi-Robot Motion Planning with Diffusion Models Y Shaoul*, I Mishani*, S Vats*, J Li, M Likhachev 2025 International Conference on Learning Representations (ICLR), 2024 | 34 | 2024 |
| SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation TE Lee*, S Vats*, S Girdhar, O Kroemer 2023 Conference on Robot Learning (CoRL), 2023 | 12 | 2023 |
| Efficient Recovery Learning using Model Predictive Meta-Reasoning S Vats, M Likhachev, O Kroemer 2023 IEEE International Conference on Robotics and Automation (ICRA), 7258-7264, 2023 | 11 | 2023 |
| Synergistic Scheduling of Learning and Allocation of Tasks in Human-robot Teams S Vats, O Kroemer, M Likhachev 2022 International Conference on Robotics and Automation (ICRA), 2789-2795, 2022 | 9 | 2022 |
| Learning to avoid local minima in planning for static environments S Vats, V Narayanan, M Likhachev 2017 International Conference on Automated Planning and Scheduling (ICAPS …, 2017 | 6 | 2017 |
| Learning to use adaptive motion primitives in search-based planning for navigation R Sood, S Vats, M Likhachev 2020 International Conference on Intelligent Robots and Systems (IROS), 6923 …, 2020 | 5 | 2020 |
| RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation S Vats, DK Jha, M Likhachev, O Kroemer, D Romeres 2025 International Conference on Intelligent Robots and Systems (IROS), 2025 | 4 | 2025 |
| Accelerating Residual Reinforcement Learning with Uncertainty Estimation L Dodeja, K Schmeckpeper, S Vats, T Weng, M Jia, G Konidaris, S Tellex IEEE Robotics and Automation Letters (RAL), 2025 | 1 | 2025 |
| System and method for controlling a robotic manipulator based on hierarchical reinforcement learning of control policies D Jha, S Vats, D Romeres US Patent 12,479,090, 2025 | | 2025 |
| Optimal Interactive Learning on the Job via Facility Location Planning S Vats*, M Zhao*, P Callaghan, M Jia, M Likhachev, O Kroemer, ... 2025 Robotics: Science and Systems (RSS), 2025 | | 2025 |
| DiffusionPack: Bin Packing with Custom Human Preferences A Maurya, S Vats, G Balachandran, R Prakash NeurIPS 2025 Workshop on Bridging Language, Agent, and World Models for …, 2025 | | 2025 |
| Plan to Learn: Active Robot Learning by Planning S Vats Carnegie Mellon University, 2024 | | 2024 |
Maxim LikhachevProfessor of Robotics, Carnegie Mellon UniversityVerified email at cs.cmu.edu
