| Learning sampling distributions for robot motion planning B Ichter, J Harrison, M Pavone arXiv preprint arXiv:1709.05448, 2018 | 229 | 2018 |
| Robot motion planning in learned latent spaces B Ichter, M Pavone IEEE Robotics and Automation Letters 4 (3), 2407-2414, 2019 | 107 | 2019 |
| Deterministic sampling-based motion planning: Optimality, complexity, and performance L Janson, B Ichter, M Pavone The International Journal of Robotics Research 37 (1), 46-61, 2018 | 103 | 2018 |
| A morphing downwind‐aligned rotor concept based on a 13‐MW wind turbine B Ichter, A Steele, E Loth, P Moriarty, M Selig Wind Energy 19 (4), 625-637, 2016 | 46 | 2016 |
| Downwind pre‐aligned rotors for extreme‐scale wind turbines E Loth, A Steele, C Qin, B Ichter, MS Selig, P Moriarty Wind Energy 20 (7), 1241-1259, 2017 | 45 | 2017 |
| Learned critical probabilistic roadmaps for robotic motion planning B Ichter, E Schmerling, TWE Lee, A Faust 2020 IEEE International Conference on Robotics and Automation (ICRA), 9535-9541, 2020 | 40 | 2020 |
| Segmented ultralight pre-aligned rotor for extreme-scale wind turbines E Loth, A Steele, B Ichter, M Selig, P Moriarty 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and …, 2012 | 34 | 2012 |
| Chain of thought prompting elicits reasoning in large language models J Wei, X Wang, D Schuurmans, M Bosma, E Chi, Q Le, D Zhou arXiv preprint arXiv:2201.11903, 2022 | 32 | 2022 |
| Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs B Ichter, E Schmerling, A Agha-mohammadi, M Pavone 2017 IEEE International Conference on Robotics and Automation (ICRA), 5019-5026, 2017 | 25 | 2017 |
| Neural collision clearance estimator for batched motion planning J Chase Kew, B Ichter, M Bandari, TWE Lee, A Faust International Workshop on the Algorithmic Foundations of Robotics, 73-89, 2020 | 19* | 2020 |
| Do as i can, not as i say: Grounding language in robotic affordances M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, ... arXiv preprint arXiv:2204.01691, 2022 | 17 | 2022 |
| Broadly-exploring, local-policy trees for long-horizon task planning B Ichter, P Sermanet, C Lynch arXiv preprint arXiv:2010.06491, 2020 | 15 | 2020 |
| Group Marching Tree: Sampling-based approximately optimal motion planning on GPUs B Ichter, E Schmerling, M Pavone 2017 First IEEE International Conference on Robotic Computing (IRC), 219-226, 2017 | 15 | 2017 |
| Zero-shot imitation learning from demonstrations for legged robot visual navigation X Pan, T Zhang, B Ichter, A Faust, J Tan, S Ha 2020 IEEE International Conference on Robotics and Automation (ICRA), 679-685, 2020 | 14 | 2020 |
| Aerodynamics of an Ultra light Load-Aligned Rotor for Extreme-Scale Wind Turbines A Steele, B Ichter, C Qin, E Loth, M Selig, P Moriarty Proceedings of the 51st AIAA Aerospace Sciences Meeting Including the New …, 2013 | 12 | 2013 |
| Learning language-conditioned robot behavior from offline data and crowd-sourced annotation S Nair, E Mitchell, K Chen, S Savarese, C Finn Conference on Robot Learning, 1303-1315, 2022 | 10 | 2022 |
| Model-based reinforcement learning for decentralized multiagent rendezvous RE Wang, JC Kew, D Lee, TWE Lee, T Zhang, B Ichter, J Tan, A Faust arXiv preprint arXiv:2003.06906, 2020 | 10 | 2020 |
| Socratic models: Composing zero-shot multimodal reasoning with language A Zeng, A Wong, S Welker, K Choromanski, F Tombari, A Purohit, M Ryoo, ... arXiv preprint arXiv:2204.00598, 2022 | 9 | 2022 |
| Structural design and analysis of a segmented ultralight morphing rotor (SUMR) for extreme-scale wind turbines B Ichter, A Steele, E Loth, P Moriarty 42nd AIAA Fluid Dynamics Conference and Exhibit, 3270, 2012 | 9 | 2012 |
| Learning object-conditioned exploration using distributed soft actor critic A Wahid, A Stone, K Chen, B Ichter, A Toshev arXiv preprint arXiv:2007.14545, 2020 | 7 | 2020 |
Marco PavoneAssociate Professor of Aeronautics and Astronautics, Stanford UniversityVerified email at stanford.edu
