| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 294 | 2023 |
| 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 | 142 | 2024 |
| Spatialvlm: Endowing vision-language models with spatial reasoning capabilities B Chen, Z Xu, S Kirmani, B Ichter, D Sadigh, L Guibas, F Xia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 130 | 2024 |
| Retinagan: An object-aware approach to sim-to-real transfer D Ho, K Rao, Z Xu, E Jang, M Khansari, Y Bai 2021 IEEE International Conference on Robotics and Automation (ICRA), 10920 …, 2021 | 100 | 2021 |
| Pivot: Iterative visual prompting elicits actionable knowledge for vlms S Nasiriany, F Xia, W Yu, T Xiao, J Liang, I Dasgupta, A Xie, D Driess, ... arXiv preprint arXiv:2402.07872, 2024 | 75 | 2024 |
| Zero-shot deep reinforcement learning driving policy transfer for autonomous vehicles based on robust control Z Xu, C Tang, M Tomizuka 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 52 | 2018 |
| Reversible nonlinear energy harvester tuned by tilting and enhanced by nonlinear circuits Z Yang, J Zu, Z Xu IEEE/ASME Transactions on Mechatronics 21 (4), 2174-2184, 2016 | 42 | 2016 |
| Autort: Embodied foundation models for large scale orchestration of robotic agents M Ahn, D Dwibedi, C Finn, MG Arenas, K Gopalakrishnan, K Hausman, ... arXiv preprint arXiv:2401.12963, 2024 | 39 | 2024 |
| Rt-trajectory: Robotic task generalization via hindsight trajectory sketches J Gu, S Kirmani, P Wohlhart, Y Lu, MG Arenas, K Rao, W Yu, C Fu, ... arXiv preprint arXiv:2311.01977, 2023 | 37 | 2023 |
| Grouptron: Dynamic multi-scale graph convolutional networks for group-aware dense crowd trajectory forecasting R Zhou, H Zhou, H Gao, M Tomizuka, J Li, Z Xu 2022 International Conference on Robotics and Automation (ICRA), 805-811, 2022 | 29 | 2022 |
| Open x-embodiment: Robotic learning datasets and RT-x models Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ... Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | 28 | 2023 |
| Generative expressive robot behaviors using large language models K Mahadevan, J Chien, N Brown, Z Xu, C Parada, F Xia, A Zeng, ... Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot …, 2024 | 27 | 2024 |
| Disturbance-observer-based tracking controller for neural network driving policy transfer C Tang, Z Xu, M Tomizuka IEEE Transactions on Intelligent Transportation Systems 21 (9), 3961-3972, 2019 | 22 | 2019 |
| End-to-end autonomous driving perception with sequential latent representation learning J Chen, Z Xu, M Tomizuka 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 18 | 2020 |
| Guided policy search model-based reinforcement learning for urban autonomous driving Z Xu, J Chen, M Tomizuka arXiv preprint arXiv:2005.03076, 2020 | 18 | 2020 |
| Toward modularization of neural network autonomous driving policy using parallel attribute networks Z Xu, H Chang, C Tang, C Liu, M Tomizuka 2019 IEEE Intelligent Vehicles Symposium (IV), 1400-1407, 2019 | 17 | 2019 |
| Cocoi: contact-aware online context inference for generalizable non-planar pushing Z Xu, W Yu, A Herzog, W Lu, C Fu, M Tomizuka, Y Bai, CK Liu, D Ho 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 15 | 2021 |
| Mobility vla: Multimodal instruction navigation with long-context vlms and topological graphs HTL Chiang, Z Xu, Z Fu, MG Jacob, T Zhang, TWE Lee, W Yu, C Schenck, ... arXiv preprint arXiv:2407.07775, 2024 | 10 | 2024 |
| Impedance matching circuit for synchronous switch harvesting on inductor interface Z Xu, Z Yang, J Zu 2015 IEEE International Conference on Mechatronics and Automation (ICMA …, 2015 | 9 | 2015 |
| Reinforcement learning based online parameter adaptation for model predictive tracking control under slippery condition H Gao, R Zhou, M Tomizuka, Z Xu 2022 American Control Conference (ACC), 2675-2682, 2022 | 8 | 2022 |
Masayoshi TomizukaMechaniccal Engineering, University of CaliforniaEmail verificata su me.berkeley.edu