| 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 | 47 | 2019 |
| Learning proofs of motion planning infeasibility S Li, NT Dantam Robotics: Science and Systems, 2021 | 21 | 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 | 13 | 2021 |
| 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 | 10 | 2023 |
| Towards General Infeasibility Proofs in Motion Planning S Li, NT Dantam IROS, 2020 | 10 | 2020 |
| 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 | 7 | 2023 |
| Exponential convergence of infeasibility proofs for kinematic motion planning S Li, NT Dantam International Workshop on the Algorithmic Foundations of Robotics, 294-311, 2022 | 7 | 2022 |
| Scaling Infeasibility Proofs via Concurrent, Codimension-one, Locally-updated Coxeter Triangulation S Li, NT Dantam IEEE Robotics and Automation Letters, 2023 | 3 | 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 | 2 | 2023 |
| Park Rangers’ Problem: Motion Planning for Sequential Visibility Requirements J Phillips, S Li, NT Dantam Springer Proceedings in Advanced Robotics, 2024 | | 2024 |
| Scaling Motion Planning Infeasibility Proofs S Li, NT Dantam arXiv preprint arXiv:2406.04795, 2024 | | 2024 |
| Proving Infeasibility in Motion Planning S Li Colorado School of Mines, 2024 | | 2024 |
| A Sampling Ensemble for Asymptotically Complete Motion Planning with Volume-Reducing Workspace Constraints S Li, MA Schack, A Upadhyay, NT Dantam | | |
| Configuration Space Lattices to Infer (In) feasibility and Application to Rearrangement Planning S Li, MA Schack, TQ Huynh, NT Dantam | | |
| Infeasibility Proofs in Task and Motion Planning S Li, NT Dantam | | |
| Learning Explicit Infeasibility from Implicit Configuration Space Connectivity S Li, NT Dantam | | |
