| 2023 | Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. | Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine |
| 2023 | OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data. | Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, Kostas E. Bekris |
| 2023 | Rearrangement Planning for General Part Assembly. | Yulong Li, Andy Zeng, Shuran Song |
| 2023 | STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots. | Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox |
| 2023 | α-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation. | Xiao Liu, Yifan Zhou, Shuhei Ikemoto, Heni Ben Amor |
| 2023 | CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning. | Jinxin Liu, Lipeng Zu, Li He, Donglin Wang |
| 2023 | Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments. | Jason Xinyu Liu, Ziyi Yang, Ifrah Idrees, Sam Liang, Benjamin Schornstein, Stefanie Tellex, Ankit Shah |
| 2023 | Continual Vision-based Reinforcement Learning with Group Symmetries. | Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao |
| 2023 | Composable Part-Based Manipulation. | Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu |
| 2023 | TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning. | Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu |
| 2023 | REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction. | Zeyi Liu, Arpit Bahety, Shuran Song |
| 2023 | Gesture-Informed Robot Assistance via Foundation Models. | Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh |
| 2023 | Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies. | Tianyu Li, Nadia Figueroa |
| 2023 | DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking. | Qing Lian, Tai Wang, Dahua Lin, Jiangmiao Pang |
| 2023 | Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area. | Jingsong Liang, Zhichen Wang, Yuhong Cao, Jimmy Chiun, Mengqi Zhang, Guillaume Adrien Sartoretti |
| 2023 | SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation. | Tabitha Edith Lee, Shivam Vats, Siddharth Girdhar, Oliver Kroemer |
| 2023 | Equivariant Motion Manifold Primitives. | Byeongho Lee, Yonghyeon Lee, Seungyeon Kim, Minjun Son, Frank C. Park |
| 2023 | Learning Efficient Abstract Planning Models that Choose What to Predict. | Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2023 | Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning. | Manav Kulshrestha, Ahmed H. Qureshi |
| 2023 | Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning. | Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu |
| 2023 | Fine-Tuning Generative Models as an Inference Method for Robotic Tasks. | Orr Krupnik, Elisei Shafer, Tom Jurgenson, Aviv Tamar |
| 2023 | PairwiseNet: Pairwise Collision Distance Learning for High-dof Robot Systems. | Jihwan Kim, Frank Chongwoo Park |
| 2023 | Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing. | Leon Kim, Yunshuang Li, Michael Posa, Dinesh Jayaraman |
| 2023 | Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves. | Seungyeon Kim, Young Hun Kim, Yonghyeon Lee, Frank C. Park |
| 2023 | Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. | Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce N. Walker, Jie Tan, Greg Turk, Sehoon Ha |