Brian Ichter
Brian Ichter
Research Scientist, Google Brain
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Learning sampling distributions for robot motion planning
B Ichter, J Harrison, M Pavone
arXiv preprint arXiv:1709.05448, 2018
1322018
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
792018
Robot motion planning in learned latent spaces
B Ichter, M Pavone
IEEE Robotics and Automation Letters 4 (3), 2407-2414, 2019
562019
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
392016
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
362017
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
282012
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
222017
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
132020
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
AIAA 914, 2013, 2013
112013
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
102017
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
62012
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
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
42020
Perception-Aware Motion Planning via Multiobjective Search on GPUs
B Ichter, B Landry, E Schmerling, M Pavone
arXiv preprint arXiv:1705.02408, 2017
4*2017
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
B Ichter, P Sermanet, C Lynch
arXiv preprint arXiv:2010.06491, 2020
32020
Neural Collision Clearance Estimator for Batched Motion Planning
J Chase Kew, B Ichter, M Bandari, TWE Lee, A Faust
arXiv e-prints, arXiv: 1910.05917, 2019
3*2019
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
22020
Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation
RE Wang, JC Kew, D Lee, TWE Lee, T Zhang, B Ichter, J Tan, A Faust
arXiv preprint arXiv:2003.06906, 2020
12020
Neural Collision Clearance Estimator for Batched Motion Planning
JC Kew, B Ichter, M Bandari, TWE Lee, A Faust
arXiv preprint arXiv:1910.05917, 2019
12019
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