Brian Ichter
Brian Ichter
Research Scientist, Google Brain
Verified email at - Homepage
Cited by
Cited by
Learning sampling distributions for robot motion planning
B Ichter, J Harrison, M Pavone
arXiv preprint arXiv:1709.05448, 2018
Robot motion planning in learned latent spaces
B Ichter, M Pavone
IEEE Robotics and Automation Letters 4 (3), 2407-2414, 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
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
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
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
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
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
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
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
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
Broadly-exploring, local-policy trees for long-horizon task planning
B Ichter, P Sermanet, C Lynch
arXiv preprint arXiv:2010.06491, 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
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
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
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
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
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
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
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
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