CoRL

AmodalBox: Automated 3D Bounding Box Annotation under Partial Visibility

In-Jae Lee, Namtae Kim, Robert Exley, Kwonyoung Ryu, and Jaesik Park

AutoDex: An Automated Real-World System for Dexterous Grasping Data Collection

Mingi Choi, Gunhee Kim, Jisoo Kim, Taeksoo Kim, Taeyun Ha, Jongbin Lim, Hanbyul Joo

Back to the Familiar Future: Failure Recovery for VLA Policies via Pre-Imagined Milestone Selection

Suyeon Shin, Juwon Kim, Hyeonbin Park, Hyunseo Kim, Hyundo Lee, Hyung-Sin Kim*, and Byoung-Tak Zhang*

Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation

Xinyao Qin, Junjie Lu, Kaixin Wang, Chuheng Zhang, Sinjae Kang, Kimin Lee, Min Xu, Bin Liang, Jun Yang, Li Zhao

CompVLA: A Variable Compliance Vision-Language-Action Model for Contact-rich Manipulation

Jongmin Kim, Junsu Ha, Che-Sang Park, Minchang Song, Hyeokju Jeong, Himchan Hwang, Jianlong Fu, Frank C. Park

CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents

Haebin Seong*, Sungmin Kim*, Yongjun Cho*, et al. (Corresponding authors: Youngjae Yu, Yunsung Lee)

HuRo: Robotizing Human Videos for Scalable VLA Pretraining

Jinho Jeong*, Se June Joo*, Jaehyun Kang, Dongyun Kim, Yena Kim, Hanjung Kim, Seon Joo Kim

Learning Unions of Convex Sets via Invertible Latent Decomposition for Path Planning

Taerim Yoon, Dongho Kang, Kisang Park, Junha Cha, Stelian Coros, Sungjoon Choi

MAPO: Mixture of Experts with Alternating Policy Optimization for Universal Humanoid Motion Tracking

Seonghyeon Lim, Hyeonwoo Lee, Mincheol Kim, Kimin Lee, Hyun Myung

Modular Sensory Stream for Integrating Physical Feedback in Vision-Language-Action Models

Jimin Lee, Huiwon Jang, Myungkyu Koo, Jungwoo Park, Jinwoo Shin

Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement

Kinam Kim, Namiko Saito, Heecheol Kim, Katsushi Ikeuchi, Jaegul Choo, Yasuyuki Matsushita

PHUMA: Physically Reliable Humanoid Locomotion Dataset

Kyungmin Lee, Sibeen Kim, Youngdo Lee, Minho Park, Hyunseung Kim, Dongyoon Hwang, Donghu Kim, Hojoon Lee, Jaegul Choo

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning

Youngjoon Jeong, Jihwan Yu, Minsoo Jo, Junha Chun, Taesup Kim

Pri4R: Learning World Dynamics for Vision-Language-Action Models with Privileged 4D Representation

Jisoo Kim, Jungbin Cho, Sanghyeok Chu, Ananya Bal, Jinhyung Kim, Gunhee Lee, Sihaeng Lee, Seung Hwan Kim, Bohyung Han, Hyunmin Lee, Laszlo A. Jeni, Seungryong Kim

Procedural Memory for Proactive Robot Assistance

Dohyun Lee, Minho Park, Jeonghoon Park, Dongyoon Hwang, Junha Hyung, Sungwon Hwang, Byungkun Lee, Jaegul Choo

Real-Time Execution with Autoregressive Policies

Sangkyu Lee, Seohyeon Park, Tackgeun You, Avi Caciularu, Idan Szpektor, Hwasup Lim, Youngjae Yu

Robot-Factored World Models via Robot Rendering

Byungjun Kim, Taeksoo Kim, Hyunsoo Cha, Hanbyul Joo

SPARK: Simple Post-training for Adapting pRetrained Knowledge to Robot Control

Taekyung Kim, Jeongeun Park, Byeongho Heo, Sungjoon Choi, Sangdoo Yun, Dongyoon Han

Teaching Robots Like Dogs: Learning Agile Navigation from Luring, Gesture, and Speech

Taerim Yoon, Dongho Kang, Jin Cheng, Fatemeh Zargarbashi, Yijiang Huang, Minsung Ahn, Stelian Coros, Sungjoon Choi

What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction

Jewon Yeom, Hanseul Kim, Jeongjae Park, Sungmok Jung, Jaejin Lee, Taesup Kim

World Action Models Are Zero-Shot Policies

Seonghyeon Ye†, Yunhao Ge, Kaiyuan Zheng, Shenyuan Gao, Sihyun Yu, George Kurian, Suneel Indupuru, You Liang Tan, Chuning Zhu, Jiannan Xiang, Ayaan Malik, Kyungmin Lee, William Liang, Nadun Ranawaka, Jiasheng Gu, Yinzhen Xu, Guanzhi Wang...

From planning to policy: distilling Skill-RRT for long-horizon prehensile and non-prehensile manipulation

Haewon Jung, Donguk Lee, Haecheol Park, Junhyeop Kim, Beomjoon Kim

ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models

Minwoo Jung, Lanke Frank Tarimo Fu, Maurice Fallon and Ayoung Kim

NeuralSVCD for Efficient Swept Volume Collision Detection

Dongwon Son, Hojin Jung, Beomjoon Kim

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

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies

Pranav Atreya, Karl Pertsch, Tony Lee, Meedeum Cho, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine

ScrewSplat: An End-to-End Method for Articulated Object Recognition

Seungyeon Kim, Junsu Ha, Young Hun Kim, Yonghyeon Lee, Frank C. Park

ScrewSplat: An End-to-End Method for Articulated Object Recognition

Seungyeon Kim, Junsu Ha, Young Hun Kim, Yonghyeon Lee, Frank C. Park

UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations

Hanjung Kim, Jaehyun Kang, Hyolim Kang, Meedeum Cho, Seon Joo Kim, Youngwoon Lee

UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations

Hanjung Kim*, Jaehyun Kang*, Hyolim Kang, Meedeum Cho, Seon Joo Kim, Youngwoon Lee

Body Transformer: Leveraging Robot Embodiment for Policy Learning

Carmelo Sferrazza, Dun-Ming Huang, Fangchen Liu, Jongmin Lee, Pieter Abbeel

EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows

Byeongdo Lim*, Jongmin Kim*, Jihwan Kim, Yonghyeon Lee, Frank C Park

EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows

Byeongdo Lim, Jongmin Kim, Jihwan Kim, Yonghyeon Lee, Frank C. Park

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

Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents

Jinyeon Kim*, Cheolhong Min*, Byeonghwi Kim, Jonghyun Choi

T2SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects

Young Hun Kim, Seungyeon Kim, Yonghyeon Lee, Frank C. Park

T²SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects

Young Hun Kim*, Seungyeon Kim*, Yonghyeon Lee, Frank C Park

TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations

Junik Bae, Kwanyoung Park, Youngwoon Lee

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

Equivariant Motion Manifold Primitives

Byeongho Lee*, Yonghyeon Lee*, Seungyeon Kim, MinJun Son, and Frank C. Park