| 2024 | RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation. | Chongkai Gao, Zhengrong Xue, Shuying Deng, Tianhai Liang, Siqi Yang, Lin Shao, Huazhe Xu |
| 2024 | Multi-Transmotion: Pre-trained Model for Human Motion Prediction. | Yang Gao, Po-Chien Luan, Alexandre Alahi |
| 2024 | HumanPlus: Humanoid Shadowing and Imitation from Humans. | Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, Chelsea Finn |
| 2024 | Mobile ALOHA: Learning Bimanual Mobile Manipulation using Low-Cost Whole-Body Teleoperation. | Zipeng Fu, Tony Z. Zhao, Chelsea Finn |
| 2024 | Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots. | Huiqiao Fu, Kaiqiang Tang, Peng Li, Guizhou Deng, Chunlin Chen |
| 2024 | Avoid Everything: Model-Free Collision Avoidance with Expert-Guided Fine-Tuning. | Adam Fishman, Aaron Walsman, Mohak Bhardwaj, Wentao Yuan, Balakumar Sundaralingam, Byron Boots, Dieter Fox |
| 2024 | Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions. | Juan Del Aguila Ferrandis, Joo Moura, Sethu Vijayakumar |
| 2024 | Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation. | Ruoxuan Feng, Di Hu, Wenke Ma, Xuelong Li |
| 2024 | Action Space Design in Reinforcement Learning for Robot Motor Skills. | Julian Eer, Gabriel B. Margolis, Oliver Urbann, Sren Kerner, Pulkit Agrawal |
| 2024 | Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data. | Alejandro Escontrela, Justin Kerr, Kyle Stachowicz, Pieter Abbeel |
| 2024 | In-Flight Attitude Control of a Quadruped using Deep Reinforcement Learning. | Tarek El-Agroudi, Finn Gross Maurer, Jrgen Anker Olsen, Kostas Alexis |
| 2024 | Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications. | Joe Eappen, Zikang Xiong, Dipam Patel, Aniket Bera, Suresh Jagannathan |
| 2024 | Manipulate-Anything: Automating Real-World Robots using Vision-Language Models. | Jiafei Duan, Wentao Yuan, Wilbert Pumacay, Yi Ru Wang, Kiana Ehsani, Dieter Fox, Ranjay Krishna |
| 2024 | Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments. | Achref Doula, Tobias Gdelhfer, Max Mhlhuser, Alejandro Snchez Guinea |
| 2024 | Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation. | Ria Doshi, Homer Rich Walke, Oier Mees, Sudeep Dasari, Sergey Levine |
| 2024 | Generalizing End-To-End Autonomous Driving In Real-World Environments Using Zero-Shot LLMs. | Zeyu Dong, Yimin Zhu, Yansong Li, Kevin Mahon, Yu Sun |
| 2024 | One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits. | Franck Djeumou, Thomas Lew, Nan Ding, Michael Thompson, Makoto Suminaka, Marcus Greiff, John K. Subosits |
| 2024 | Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. | Anushri Dixit, Zhiting Mei, Meghan Booker, Mariko Storey-Matsutani, Allen Z. Ren, Anirudha Majumdar |
| 2024 | Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving. | Kairui Ding, Boyuan Chen, Yuchen Su, Huan-ang Gao, Bu Jin, Chonghao Sima, Xiaohui Li, Wuqiang Zhang, Paul Barsch, Hongyang Li, Hao Zhao |
| 2024 | Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. | Jonathan A. DeCastro, Andrew Silva, Deepak E. Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman |
| 2024 | Learning to Look: Seeking Information for Decision Making via Policy Factorization. | Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martn-Martn |
| 2024 | Automated Creation of Digital Cousins for Robust Policy Learning. | Tianyuan Dai, Josiah Wong, Yunfan Jiang, Chen Wang, Cem Gokmen, Ruohan Zhang, Jiajun Wu, Li Fei-Fei |
| 2024 | Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. | Aidan Curtis, Nishanth Kumar, Jing Cao, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2024 | Adapting Humanoid Locomotion over Challenging Terrain via Two-Phase Training. | Wenhao Cui, Shengtao Li, Huaxing Huang, Bangyu Qin, Tianchu Zhang, Jinchao Han, Liang Zheng, Ziyang Tang, Chenxu Hu, Yan Ning, Jiahao Chen, Zheyuan Jiang |
| 2024 | Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning. | Bartlomiej Cieslar, Leslie Pack Kaelbling, Toms Lozano-Prez, Jorge Mendez-Mendez |