| 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 | 437* | 2023 |
| Adaptive game-theoretic decision making for autonomous vehicle control at roundabouts R Tian, S Li, N Li, I Kolmanovsky, A Girard, Y Yildiz 2018 IEEE conference on decision and control (CDC), 321-326, 2018 | 124 | 2018 |
| Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation R Tian, N Li, I Kolmanovsky, Y Yildiz, A Girard IEEE Transactions on Intelligent Transportation Systems, 2020 | 105 | 2020 |
| Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models R Tian, L Sun, A Bajcsy, M Tomizuka, AD Dragan 2022 IEEE International Conference on Robotics and Automation (ICRA), 2022 | 55 | 2022 |
| Reference governor strategies for vehicle rollover avoidance R Bencatel, R Tian, AR Girard, I Kolmanovsky IEEE Transactions on Control Systems Technology 26 (6), 1954-1969, 2017 | 45 | 2017 |
| Anytime Game-Theoretic Planning with Active Reasoning About Humans’ Latent States for Human-Centered Robots R Tian, L Sun, M Tomizuka, D Isele 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 | 30 | 2021 |
| Towards modeling and influencing the dynamics of human learning R Tian, M Tomizuka, AD Dragan, A Bajcsy Proceedings of the 2023 ACM/IEEE international conference on human-robot …, 2023 | 16 | 2023 |
| Bounded risk-sensitive markov games: Forward policy design and inverse reward learning with iterative reasoning and cumulative prospect theory R Tian, L Sun, M Tomizuka AAAI Conference on Artificial Intelligence, 2021 | 15 | 2021 |
| Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning R Tian, N Li, I Kolmanovsky, A Girard 2020 American Control Conference (ACC), 2020 | 14 | 2020 |
| Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data R Tian, M Tomizuka, L Sun 2021 IEEE International Conference on Intelligent Robots and Systems (IROS 2021), 2021 | 13 | 2021 |
| Human-oriented Representation Learning for Robotic Manipulation M Huo, M Ding, C Xu, T Tian, X Zhu, Y Mu, L Sun, M Tomizuka, W Zhan Robotics: Science and Systems (RSS), 2024, 2023 | 9 | 2023 |
| What Matters to You? Towards Visual Representation Alignment for Robot Learning R Tian, C Xu, M Tomizuka, J Malik, A Bajcsy International Conference on Learning Representations (ICLR), 2024, 2023 | 8 | 2023 |
| Fanuc manipulation: A dataset for learning-based manipulation with fanuc mate 200id robot X Zhu, R Tian, C Xu, M Huo, W Zhan, M Tomizuka, M Ding | 8 | 2023 |
| Sparse diffusion policy: A sparse, reusable, and flexible policy for robot learning Y Wang, Y Zhang, M Huo, R Tian, X Zhang, Y Xie, C Xu, P Ji, W Zhan, ... arXiv preprint arXiv:2407.01531, 2024 | 4 | 2024 |
| Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving R Tian, B Li, X Weng, Y Chen, E Schmerling, Y Wang, B Ivanovic, ... arXiv preprint arXiv:2407.00959, 2024 | 4 | 2024 |
| Wolf: Captioning everything with a world summarization framework B Li, L Zhu, R Tian, S Tan, Y Chen, Y Lu, Y Cui, S Veer, M Ehrlich, ... arXiv preprint arXiv:2407.18908, 2024 | 3 | 2024 |
| Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization Y Chen, C Tang, R Tian, C Li, J Li, M Tomizuka, W Zhan Reinforcement Learning Conference (RLC), 2024, 2023 | 2 | 2023 |
| Controller mode and reference governor for constraint and failure management in vehicle platoon systems R Tian, N Li, A Girard, I Kolmanovsky 2020 IEEE Conference on Control Technology and Applications (CCTA), 660-665, 2020 | 2 | 2020 |
| Coordinated control of active steering and differential braking using extended command governor for rollover avoidance R Tian, R Bencatel, A Girard, I Kolmanovsky Dynamic Systems and Control Conference 58271, V001T45A001, 2018 | 2 | 2018 |
| Systems and methods for curiousity development in agents I R Tian, H Gang, D Isele US Patent 17,021,457, 2021 | 1 | 2021 |
Masayoshi TomizukaMechaniccal Engineering, University of CaliforniaVerified email at me.berkeley.edu
