Brian Ichter
Brian Ichter
Research Scientist, Google Brain
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Learning sampling distributions for robot motion planning
B Ichter, J Harrison, M Pavone
arXiv preprint arXiv:1709.05448, 2018
1792018
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
892018
Robot motion planning in learned latent spaces
B Ichter, M Pavone
IEEE Robotics and Automation Letters 4 (3), 2407-2414, 2019
822019
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
452016
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
422017
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
312012
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
232017
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
222020
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
122017
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
122013
Neural collision clearance estimator for batched motion planning
JC Kew, B Ichter, M Bandari, TWE Lee, A Faust
arXiv preprint arXiv:1910.05917, 2019
11*2019
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
B Ichter, P Sermanet, C Lynch
arXiv preprint arXiv:2010.06491, 2020
92020
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
82012
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
62020
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
52020
Perception-Aware Motion Planning via Multiobjective Search on GPUs
B Ichter, B Landry, E Schmerling, M Pavone
arXiv preprint arXiv:1705.02408, 2017
5*2017
Deterministic Sampling-Based Motion Planning: Optimality
L Janson, B Ichter, M Pavone
Complexity, and Performance, 2016
52016
Downwind pre-aligned rotor for a 13.2 MW wind turbine
E Loth, B Ichter, A Steele, MS Selig, PJ Moriarty
33rd Wind Energy Symposium, 1661, 2015
52015
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
42020
Avoidance critical probabilistic roadmaps for motion planning in dynamic environments
FF Arias, B Ichter, A Faust, NM Amato
2021 IEEE International Conference on Robotics and Automation (ICRA), 10264 …, 2021
12021
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Artikkelit 1–20