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 | 232 | 2017 |
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 |
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing T Benciolini, C Tang, M Leibold, C Weaver, M Tomizuka, W Zhan arXiv preprint arXiv:2311.01993, 2023 | | 2023 |
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 | 19 | 2019 |
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 | 11 | 2020 |
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay C Weaver, C Tang, C Hao, K Kawamoto, M Tomizuka, W Zhan arXiv preprint arXiv:2402.14194, 2024 | | 2024 |
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 | 26 | 2018 |
Dealing with the unknown: Pessimistic offline reinforcement learning J Li, C Tang, M Tomizuka, W Zhan Conference on Robot Learning, 1455-1464, 2022 | 15 | 2022 |
Designing Explainable Autonomous Driving System for Trustworthy Interaction C Tang University of California, Berkeley, 2022 | 2 | 2022 |
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 | 18 | 2019 |
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 | 15 | 2022 |
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing S Su, C Hao, C Weaver, C Tang, W Zhan, M Tomizuka IFAC-PapersOnLine 56 (2), 7940-7947, 2023 | 1 | 2023 |
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 | 3 | 2023 |
Explainable Autonomous Driving with Grounded Relational Inference C Tang, N Srishankar, S Martin, M Tomizuka NeurIPS 2020 Workshop on Machine Learning for Autonomous Driving, 2020 | | 2020 |
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 | 16 | 2021 |
Grounded relational inference: Domain knowledge driven explainable autonomous driving C Tang, N Srishankar, S Martin, M Tomizuka arXiv preprint arXiv:2102.11905, 2021 | 9 | 2021 |
Guided online distillation: Promoting safe reinforcement learning by offline demonstration J Li, X Liu, B Zhu, J Jiao, M Tomizuka, C Tang, W Zhan arXiv preprint arXiv:2309.09408, 2023 | 4 | 2023 |
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 | 42 | 2022 |
Interpretable autonomous driving system and method thereof CT Sujitha Catherine Martin US Patent App. 17/013,482, 2021 | 4* | 2021 |
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 | 14 | 2022 |