| A highly sensitive graphene woven fabric strain sensor for wearable wireless musical instruments X Liu, C Tang, X Du, S Xiong, S Xi, Y Liu, X Shen, Q Zheng, Z Wang, Y Wu, ... Materials Horizons 4 (3), 477-486, 2017 | 248 | 2017 |
| Hierarchical planning through goal-conditioned offline reinforcement learning J Li, C Tang, M Tomizuka, W Zhan IEEE Robotics and Automation Letters 7 (4), 10216-10223, 2022 | 60 | 2022 |
| 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 |
| Pretram: Self-supervised pre-training via connecting trajectory and map C Xu, T Li, C Tang, L Sun, K Keutzer, M Tomizuka, A Fathi, W Zhan European Conference on Computer Vision, 34-50, 2022 | 36 | 2022 |
| Continuous decision making for on-road autonomous driving under uncertain and interactive environments J Chen, C Tang, L Xin, SE Li, M Tomizuka 2018 IEEE Intelligent Vehicles Symposium (IV), 1651-1658, 2018 | 31 | 2018 |
| Dealing with the unknown: Pessimistic offline reinforcement learning J Li, C Tang, M Tomizuka, W Zhan Conference on Robot Learning, 1455-1464, 2022 | 25 | 2022 |
| Exploring social posterior collapse in variational autoencoder for interaction modeling C Tang, W Zhan, M Tomizuka Advances in Neural Information Processing Systems 34, 8481-8494, 2021 | 23 | 2021 |
| Adaptive probabilistic vehicle trajectory prediction through physically feasible bayesian recurrent neural network C Tang, J Chen, M Tomizuka 2019 International Conference on Robotics and Automation (ICRA), 3846-3852, 2019 | 23 | 2019 |
| 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 |
| Deep reinforcement learning for robotics: A survey of real-world successes C Tang, B Abbatematteo, J Hu, R Chandra, R Martín-Martín, P Stone Annual Review of Control, Robotics, and Autonomous Systems 8, 2024 | 21 | 2024 |
| Domain knowledge driven pseudo labels for interpretable goal-conditioned interactive trajectory prediction L Sur, C Tang, Y Niu, E Sachdeva, C Choi, T Misu, M Tomizuka, W Zhan 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 18 | 2022 |
| A remote control strategy for an autonomous vehicle with slow sensor using kalman filtering and dual-rate control Á Cuenca, W Zhan, J Salt, J Alcaina, C Tang, M Tomizuka Sensors 19 (13), 2983, 2019 | 17 | 2019 |
| 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 |
| Interventional behavior prediction: Avoiding overly confident anticipation in interactive prediction C Tang, W Zhan, M Tomizuka 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 16 | 2022 |
| Application Specific System Identification for Model-Based Control in Self-Driving Cars JMS Ducaju, C Tang, M Tomizuka, CY Chan 2020 IEEE Intelligent Vehicles Symposium (IV), 384-390, 2020 | 13 | 2020 |
| Grounded relational inference: Domain knowledge driven explainable autonomous driving C Tang, N Srishankar, S Martin, M Tomizuka IEEE Transactions on Intelligent Transportation Systems, 2024 | 12 | 2024 |
| Editing driver character: Socially-controllable behavior generation for interactive traffic simulation WJ Chang, C Tang, C Li, Y Hu, M Tomizuka, W Zhan IEEE Robotics and Automation Letters, 2023 | 12 | 2023 |
| Pre-training on synthetic driving data for trajectory prediction Y Li, SZ Zhao, C Xu, C Tang, C Li, M Ding, M Tomizuka, W Zhan 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | 9 | 2024 |
| Guided online distillation: Promoting safe reinforcement learning by offline demonstration J Li, X Liu, B Zhu, J Jiao, M Tomizuka, C Tang, W Zhan 2024 IEEE International Conference on Robotics and Automation (ICRA), 7447-7454, 2024 | 8 | 2024 |
| Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning C Hao, C Weaver, C Tang, K Kawamoto, M Tomizuka, W Zhan IEEE Robotics and Automation Letters, 2024 | 6* | 2024 |
Masayoshi TomizukaMechaniccal Engineering, University of California確認したメール アドレス: me.berkeley.edu