| Intuitive control of a robotic arm and hand system with pneumatic haptic feedback S Li, R Rameshwar, AM Votta, CD Onal IEEE Robotics and Automation Letters 4 (4), 4424-4430, 2019 | 39 | 2019 |
| Learning proofs of motion planning infeasibility S Li, NT Dantam Robotics: Science and Systems, 2021 | 17 | 2021 |
| An integrated approach to context-sensitive moral cognition in robot cognitive architectures RB Jackson, S Li, SB Banisetty, S Siva, H Zhang, N Dantam, T Williams 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 9 | 2021 |
| Towards General Infeasibility Proofs in Motion Planning S Li, NT Dantam IROS, 2020 | 6 | 2020 |
| Exponential convergence of infeasibility proofs for kinematic motion planning S Li, NT Dantam International Workshop on the Algorithmic Foundations of Robotics, 294-311, 2022 | 5 | 2022 |
| A sampling and learning framework to prove motion planning infeasibility S Li, NT Dantam The International Journal of Robotics Research 42 (10), 938-956, 2023 | 3 | 2023 |
| Sample-driven connectivity learning for motion planning in narrow passages S Li, NT Dantam 2023 IEEE International Conference on Robotics and Automation (ICRA), 5681-5687, 2023 | 2 | 2023 |
| Scaling Infeasibility Proofs via Concurrent, Codimension-one, Locally-updated Coxeter Triangulation S Li, NT Dantam IEEE Robotics and Automation Letters, 2023 | | 2023 |
| Failure Explanation in Privacy-Sensitive Contexts: An Integrated Systems Approach S Li, S Siva, T Mott, T Williams, H Zhang, N Dantam 2023 32nd IEEE International Conference on Robot and Human Interactive …, 2023 | | 2023 |
| Infeasibility Proofs in Task and Motion Planning S Li, NT Dantam | | |
| Learning Explicit Infeasibility from Implicit Configuration Space Connectivity S Li, NT Dantam | | |
