| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 194 | 2023 |
| Multi-agent imitation learning for driving simulation RP Bhattacharyya, DJ Phillips, B Wulfe, J Morton, A Kuefler, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 133 | 2018 |
| Modeling human driving behavior through generative adversarial imitation learning R Bhattacharyya, B Wulfe, DJ Phillips, A Kuefler, J Morton, R Senanayake, ... IEEE Transactions on Intelligent Transportation Systems 24 (3), 2874-2887, 2022 | 116 | 2022 |
| Heterogeneous-agent trajectory forecasting incorporating class uncertainty B Ivanovic, KH Lee, P Tokmakov, B Wulfe, R Mcllister, A Gaidon, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 38 | 2022 |
| Droid: A large-scale in-the-wild robot manipulation dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024 | 25 | 2024 |
| Real-time prediction of intermediate-horizon automotive collision risk B Wulfe, S Chintakindi, SCT Choi, R Hartong-Redden, A Kodali, ... Autonomous Agents and Multi-Agent Systems, 2018 | 25 | 2018 |
| Control-Aware Prediction Objectives for Autonomous Driving R McAllister, B Wulfe, J Mercat, L Ellis, S Levine, A Gaidon IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022 | 23 | 2022 |
| Measuring sample efficiency and generalization in reinforcement learning benchmarks: Neurips 2020 procgen benchmark S Mohanty, J Poonganam, A Gaidon, A Kolobov, B Wulfe, D Chakraborty, ... arXiv preprint arXiv:2103.15332, 2021 | 23 | 2021 |
| Dynamics-Aware Comparison of Learned Reward Functions B Wulfe, A Balakrishna, L Ellis, J Mercat, R McAllister, A Gaidon International Conference on Learning Representations, 2022 | 16 | 2022 |
| RAP: Risk-Aware Prediction for Robust Planning H Nishimura, J Mercat, B Wulfe, R McAllister, A Gaidon Conference on Robot Learning, 2022 | 15 | 2022 |
| Collision avoidance for unmanned aircraft using coordination tables RE Tompa, B Wulfe, MP Owen, MJ Kochenderfer 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC), 1-9, 2016 | 12 | 2016 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 9 | 2024 |
| Horizontal maneuver coordination for aircraft collision-avoidance systems RE Tompa, B Wulfe, MJ Kochenderfer, MP Owen Journal of Aerospace Information Systems 15 (2), 92-106, 2018 | 8 | 2018 |
| Planning-aware prediction for control-aware autonomous driving modules RT Mcallister, BW Wulfe, J Mercat, LM Ellis, S Levine, AD Gaidon US Patent App. 17/570,168, 2023 | 2 | 2023 |
| Recognizing Cities from Street View Images D Hershey, B Wulfe | 2 | 2015 |
| View-Invariant Policy Learning via Zero-Shot Novel View Synthesis S Tian, B Wulfe, K Sargent, K Liu, S Zakharov, V Guizilini, J Wu arXiv preprint arXiv:2409.03685, 2024 | 1 | 2024 |
| Systems and methods for corridor intent prediction BW Wulfe, W Burgard US Patent 11,783,178, 2023 | 1 | 2023 |
| Method for diverse sequential point cloud forecasting NAN Junyu, X Weng, J Mercat, BW Wulfe, RT Mcallister, AD Gaidon, ... US Patent App. 18/484,374, 2024 | | 2024 |
| Systems and methods for multiple algorithm selection BW Wulfe, G Rosman, NJ Epstein, LD Fletcher US Patent App. 18/480,248, 2024 | | 2024 |
| Systems and methods for multiple algorithm selection BW Wulfe, G Rosman, NJ Epstein, LD Fletcher US Patent 11,807,272, 2023 | | 2023 |
Adrien GaidonAdjunct Professor, StanfordПотвърден имейл адрес: stanford.edu
