| Learning navigation behaviors end-to-end with autorl HTL Chiang, A Faust, M Fiser, A Francis IEEE Robotics and Automation Letters 4 (2), 2007-2014, 2019 | 234 | 2019 |
| Scene transformer: A unified architecture for predicting multiple agent trajectories J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... arXiv preprint arXiv:2106.08417, 2021 | 176 | 2021 |
| Hybrid dynamic moving obstacle avoidance using a stochastic reachable set-based potential field N Malone, HT Chiang, K Lesser, M Oishi, L Tapia IEEE Transactions on Robotics 33 (5), 1124-1138, 2017 | 162 | 2017 |
| Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments HT Chiang, N Malone, K Lesser, M Oishi, L Tapia 2015 IEEE international conference on robotics and automation (ICRA), 2347-2354, 2015 | 144 | 2015 |
| RL-RRT: Kinodynamic motion planning via learning reachability estimators from RL policies HTL Chiang, J Hsu, M Fiser, L Tapia, A Faust IEEE Robotics and Automation Letters 4 (4), 4298-4305, 2019 | 143 | 2019 |
| Long-range indoor navigation with prm-rl A Francis, A Faust, HTL Chiang, J Hsu, JC Kew, M Fiser, TWE Lee IEEE Transactions on Robotics 36 (4), 1115-1134, 2020 | 141 | 2020 |
| COLREG-RRT: An RRT-based COLREGS-compliant motion planner for surface vehicle navigation HTL Chiang, L Tapia IEEE Robotics and Automation Letters 3 (3), 2024-2031, 2018 | 127 | 2018 |
| Language to rewards for robotic skill synthesis W Yu, N Gileadi, C Fu, S Kirmani, KH Lee, MG Arenas, HTL Chiang, ... arXiv preprint arXiv:2306.08647, 2023 | 95 | 2023 |
| Scene transformer: A unified multi-task model for behavior prediction and planning J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... arXiv preprint arXiv:2106.08417 2 (7), 2021 | 66 | 2021 |
| Aggressive moving obstacle avoidance using a stochastic reachable set based potential field HT Chiang, N Malone, K Lesser, M Oishi, L Tapia Algorithmic Foundations of Robotics XI: Selected Contributions of the …, 2015 | 31 | 2015 |
| Safety, challenges, and performance of motion planners in dynamic environments HT Chiang, B HomChaudhuri, L Smith, L Tapia Robotics Research: The 18th International Symposium ISRR, 793-808, 2020 | 26 | 2020 |
| Avoiding moving obstacles with stochastic hybrid dynamics using pearl: Preference appraisal reinforcement learning A Faust, HT Chiang, N Rackley, L Tapia 2016 IEEE International Conference on Robotics and Automation (ICRA), 484-490, 2016 | 25 | 2016 |
| Principles and guidelines for evaluating social robot navigation algorithms A Francis, C Pérez-d'Arpino, C Li, F Xia, A Alahi, R Alami, A Bera, ... arXiv preprint arXiv:2306.16740, 2023 | 24 | 2023 |
| Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions HTL Chiang, B HomChaudhuri, AP Vinod, M Oishi, L Tapia 2017 IEEE International Conference on Robotics and Automation (ICRA), 3762-3769, 2017 | 24 | 2017 |
| Stochastic ensemble simulation motion planning in stochastic dynamic environments HT Chiang, N Rackley, L Tapia 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 22 | 2015 |
| Learning navigation behaviors end to end HTL Chiang, A Faust, M Fiser, A Francis CoRR, 2018 | 20 | 2018 |
| Fast swept volume estimation with deep learning HTL Chiang, A Faust, S Sugaya, L Tapia Algorithmic Foundations of Robotics XIII: Proceedings of the 13th Workshop …, 2020 | 14 | 2020 |
| Improved bounds for eigenpath traversal HT Chiang, G Xu, RD Somma Physical Review A 89 (1), 012314, 2014 | 14 | 2014 |
| Comparison of deep reinforcement learning policies to formal methods for moving obstacle avoidance A Garg, HTL Chiang, S Sugaya, A Faust, L Tapia 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 11 | 2019 |
| Fast deep swept volume estimator HTL Chiang, JEG Baxter, S Sugaya, MR Yousefi, A Faust, L Tapia The International Journal of Robotics Research 40 (10-11), 1068-1086, 2021 | 6 | 2021 |
Lydia TapiaAssociate Professor of Computer Science, University of New MexicoVerified email at cs.unm.edu
