발행물

전체 논문

57

1

Subtask-Aware Visual Reward Learning from Segmented Demonstrations
Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J. Lim*, Kimin Lee*
2025

2

QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
Grace Zhang*, Ayush Jain*, Injune Hwang, Shao-Hua Sun, Joseph J. Lim
2025

3

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
2024

4

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)
2024

5

Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration (including Joseph J. Lim, Karl Pertsch, Minho Heo, Youngwoon Lee)
2024

6

SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim
2024

7

Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J Lim
2023

8

FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
Minho Heo*, Youngwoon Lee*, Doohyun Lee, Joseph J. Lim
2023

9

PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
Shivin Dass*, Karl Pertsch*, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis
2023

10

Hierarchical Neural Program Synthesis
Linghan Zhong, Ryan Lindeborg, Jesse Zhang, Joseph J. Lim, Shao-Hua Sun
2023