| Learning sampling distributions for robot motion planning B Ichter, J Harrison, M Pavone arXiv preprint arXiv:1709.05448, 2018 | 132 | 2018 |
| 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 | 79 | 2018 |
| Robot motion planning in learned latent spaces B Ichter, M Pavone IEEE Robotics and Automation Letters 4 (3), 2407-2414, 2019 | 56 | 2019 |
| 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 | 39 | 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 | 36 | 2017 |
| 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 | 28 | 2012 |
| 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 | 22 | 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 | 13 | 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 AIAA 914, 2013, 2013 | 11 | 2013 |
| 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 | 10 | 2017 |
| 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 | 6 | 2012 |
| Deterministic Sampling-Based Motion Planning: Optimality L Janson, B Ichter, M Pavone Complexity, and Performance, 2016 | 5 | 2016 |
| 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 | 5 | 2015 |
| 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 | 4 | 2020 |
| 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 | 3 | 2020 |
| 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 | 2 | 2020 |
| 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 | 1 | 2020 |
| Neural Collision Clearance Estimator for Batched Motion Planning JC Kew, B Ichter, M Bandari, TWE Lee, A Faust arXiv preprint arXiv:1910.05917, 2019 | 1 | 2019 |
Marco PavoneAssociate Professor of Aeronautics and Astronautics, Stanford UniversityBestätigte E-Mail-Adresse bei stanford.edu
