임재환Joseph Lim

N2M: Bridging Navigation and Manipulation by Learning Pose Preference from Rollout

Kaixin Chai, Hyunjun Lee, Joseph J. Lim

RACE: Time Optimal Execution of Action Chunk Policies Beyond Demonstration Speed

Sunwoo Kim, Jeongjun Kim, Joseph J. Lim

Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions

Ayush Jain, Norio Kosaka, Xinhu Li, Kyung-Min Kim, Erdem Bıyık, Joseph J. Lim

QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing

Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim

ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations

Jiahui Zhang, Yusen Luo, Abrar Anwar, Sumedh A. Sontakke, Joseph J. Lim, Jesse Thomason, Erdem Bıyık, Jesse Zhang

Subtask-Aware Visual Reward Learning from Segmented Demonstrations

Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J. Lim, Kimin Lee

DROID: A Large-Scale In-the-Wild Robot Manipulation Dataset

DROID Dataset Team Collaboration (including Karl Pertsch, Youngwoon Lee, Sungjae Park, Minho Heo, Joseph J. Lim)

EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data

Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor