| Gaussian: Self-Supervised Street Gaussians for Autonomous Driving N Huang, X Wei, W Zheng, P An, M Lu, W Zhan, M Tomizuka, K Keutzer, ... arXiv preprint arXiv:2405.20323, 2024 | | 2024 |
| NeRF in Robotics: A Survey G Wang, L Pan, S Peng, S Liu, C Xu, Y Miao, W Zhan, M Tomizuka, ... arXiv preprint arXiv:2405.01333, 2024 | 1 | 2024 |
| Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning Z Wu, Y Li, W Zhan, C Liu, YH Liu, M Tomizuka arXiv preprint arXiv:2404.04772, 2024 | | 2024 |
| Q-SLAM: Quadric Representations for Monocular SLAM C Peng, C Xu, Y Wang, M Ding, H Yang, M Tomizuka, K Keutzer, ... arXiv preprint arXiv:2403.08125, 2024 | 1 | 2024 |
| DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models Y Lin, C Li, M Ding, M Tomizuka, W Zhan, M Althoff arXiv preprint arXiv:2403.07470, 2024 | 2 | 2024 |
| Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach J Lu, W Zhan, M Tomizuka, Y Hu arXiv preprint arXiv:2403.06086, 2024 | | 2024 |
| PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models D Guo, Y Xiang, S Zhao, X Zhu, M Tomizuka, M Ding, W Zhan arXiv preprint arXiv:2402.16836, 2024 | | 2024 |
| Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving Y Xie, H Chen, GP Meyer, YJ Lee, EM Wolff, M Tomizuka, W Zhan, Y Chai, ... arXiv preprint arXiv:2402.15583, 2024 | | 2024 |
| BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay C Weaver, C Tang, C Hao, K Kawamoto, M Tomizuka, W Zhan IEEE Robotics and Automation Letters, 2024 | | 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 | 2* | 2024 |
| Pessimistic offline reinforcement learning system and method M Huang, LI Jinning, C Tang, M Tomizuka, W Zhan US Patent App. 17/969,129, 2024 | | 2024 |
| Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving Z Huang, C Tang, C Lv, M Tomizuka, W Zhan arXiv preprint arXiv:2401.15315, 2024 | | 2024 |
| 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 | 4 | 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 | | 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), 2024 | 4 | 2024 |
| Controllable Safety-Critical Closed-loop Traffic Simulation via Guided Diffusion WJ Chang, F Pittaluga, M Tomizuka, W Zhan, M Chandraker arXiv preprint arXiv:2401.00391, 2023 | 1 | 2023 |
| 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 |
| 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 | 109* | 2023 |
| LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving H Sha, Y Mu, Y Jiang, L Chen, C Xu, P Luo, SE Li, M Tomizuka, W Zhan, ... arXiv preprint arXiv:2310.03026, 2023 | 60 | 2023 |
| RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving T Zhao, C Xu, M Ding, M Tomizuka, W Zhan, Y Wei arXiv preprint arXiv:2310.02262, 2023 | 4 | 2023 |
