CoRL 2025PastInterpretabilityRobotics

Workshop on Making Sense of Data in Robotics: Composition, Curation, and Interpretability at Scale at CoRL 2025

CoRL 2025 Robot Data Workshop

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Submission deadline: Aug 30, 2025, 11:59 UTC
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Accepted papers (35)

Fetched from OpenReview (v2) on 2026-06-10.

2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos
Marvin Heidinger, Snehal Jauhri, Vignesh Prasad, Georgia Chalvatzaki · PDF
Analysis of Learning Dynamics on Heterogeneous Robot Datasets with Suboptimal Data
Haruki Abe, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada · PDF
Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning
Saharsh Saharsh, Shubham Sonkar, Pushpak Jagtap, Ravi Prakash · PDF
COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning
Sateesh Kumar, Shivin Dass, Georgios Pavlakos, Roberto Martín-Martín · PDF
Contrastive In-Context Learning with Active Memory for Task Planning
Jiho Lee, Kyungjae Lee, Eunwoo Kim · PDF
DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
Shivin Dass, Alaa Khaddaj, Logan Engstrom, Aleksander Madry, Andrew Ilyas, Roberto Martín-Martín · PDF
DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration
Lingxiao Guo, Zhengrong Xue, Zijing Xu, Huazhe Xu · PDF
Design Decisions that Matter: Modality, State, and Action Horizon in Imitation Learning
Brendan Chharawala, Joshua Li, Stephie Liu, Colin Bellinger, David Liu, Chang Shu, Yue Hu, Pengcheng Xi · PDF
Don't Get Distracted: Improving Robotic Perception Robustness via In-Context Visual Scene Editing
Mozhgan Pourkeshavarz, Adam Sigal, Sajjad Pakdamansavoji, Zhiyuan Li, Rui Heng Yang, Amir Rasouli · PDF
Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels
Adam Wei, Abhinav Agarwal, Boyuan Chen, Rohan Bosworth, Nicholas Ezra Pfaff, Russ Tedrake · PDF
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
Daniel Ordonez-Apraez, Vladimir R Kostic, Alek Fröhlich, Karim Lounici, Massimiliano Pontil · PDF
GraspFactory: A Large Object-Centric Grasping Dataset
Srinidhi Kalgundi Srinivas, Yash Shukla, Adam Arnold, Sachin Chitta · PDF
GRIM: Task-Oriented Grasping with Conditioning on Generative Examples
Shailesh, Alok Raj, Nayan Kumar, Priya Shukla, Andrew Melnik, Michael Beetz, Gora Chand Nandi · PDF
Guardian: Detecting Robotic Planning and Execution Errors with Vision-Language Models
Paul Pacaud, Ricardo Garcia Pinel, Shizhe Chen, Cordelia Schmid · PDF
Humanoid Policy ~ Human Policy
Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng, Chaitanya Chawla, Jialong Li, Tairan He, Ge Yan, David J. Yoon, Ryan Hoque, Lars Paulsen, Ge Yang, Jian Zhang, Sha Yi, Guanya Shi, Xiaolong Wang · PDF
Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
Seungjae Lee, Daniel Ekpo, Haowen Liu, Furong Huang, Abhinav Shrivastava, Jia-Bin Huang · PDF
MagiClaw: A Dual-Use, Vision-Based Soft Gripper for Bridging the Human Demonstration to Robotic Deployment Gap
Tianyu Wu, Xudong Han, Haoran Sun, Zishang Zhang, Bangchao Huang, Chaoyang Song, Fang Wan · PDF
MolmoAct: Action Reasoning Models that can Reason in Space
Jason Lee, Jiafei Duan, Haoquan Fang, Yuquan Deng, Boyang Li, Shuo Liu, Bohan Fang, Jieyu Zhang, Yi Ru Wang, Sangho Lee, Winson Han, Wilbert Pumacay, Angelica Wu, Rose Hendrix, Karen Farley, Eli VanderBilt, Ali Farhadi, Dieter Fox, Ranjay Krishna · PDF
NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields
Eric Zhu, Mara Levy, Matthew Gwilliam, Abhinav Shrivastava · PDF
OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning
Fanqi Lin, Ruiqian Nai, Yingdong Hu, Jiacheng You, Junming Zhao, Yang Gao · PDF
OpenGVL - Benchmarking Visual Temporal Progress for Data Curation
Paweł Budzianowski, Emilia Wiśnios, Gracjan Góral, Igor Kulakov, Viktor Petrenko, Krzysztof Walas · PDF
PACER: Progress-Aligned Curation for Error-Resilient Imitation Learning
Shreyas Kumar, Ravi Prakash · PDF
PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting
Yihong Xu, Yuan Yin, Eloi Zablocki, Tuan-Hung Vu, Alexandre Boulch, Matthieu Cord · PDF
RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction
Zheyuan Hu, Robyn Wu, Naveen Enock, Jasmine Jia-ni Li, Riya Kadakia, Zackory Erickson, Aviral Kumar · PDF
RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
Carlo Bosio, Greg Woelki, Noureldin Hendy, Nicholas Roy, Byungsoo Kim · PDF
Scale Your Dataset Without Robot
Kyungzun Rim, Jiwon Kim, Ilkwon Hong, SuHyun Yoon · PDF
SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
Yu Zhang, Yuqi Xie, Huihan Liu, Rutav Shah, Michael Wan, Linxi Fan, Yuke Zhu · PDF
Synthetic vs. Real Training Data for Visual Navigation
Lauri Suomela, Sasanka Kuruppu Arachchige, German F. Torres, Harry Edelman, Joni-Kristian Kämäräinen · PDF
Task Robustness via Re-Labelling Vision-Action Robot Data
Artur Kuramshin, Ozgur Aslan, Cyrus Neary, Glen Berseth · PDF
The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving
Jay Patrikar, Apoorva Sharma, Sushant Veer, Boyi Li, Sebastian Scherer, Marco Pavone · PDF
Touch begins where vision ends: Generalizable policies for contact-rich manipulation
Zifan Zhao, Siddhant Haldar, Jinda Cui, Lerrel Pinto, Raunaq Bhirangi · PDF
Towards Embodiment Scaling Laws in Robot Locomotion
Bo Ai, Liu Dai, Nico Bohlinger, Dichen Li, Tongzhou Mu, Zhanxin Wu, K. Fay, Henrik I Christensen, Jan Peters, Hao Su · PDF
Towards Mega-pixel Embodied Vision: Foveated Ego-View Predict Long-Horizon Contextual Intent in Dexterous Manipulation
Yanbing Han, Rilyn R. Han, Gio Huh, Kevin Yang, Alan Yu, Jianan Wang, Ge Yang · PDF
Vision-Language Models Unlock Task-Centric Latent Actions
Alexander Nikulin, Ilya Zisman, Denis Tarasov, Albina Klepach, Alexander Derevyagin, Andrei Polubarov, Lyubaykin Nikita, Vladislav Kurenkov · PDF
Wolf: Dense Video Captioning with a World Summarization Framework
Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone · PDF

Accepted papers (35)

☆2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos

☆Analysis of Learning Dynamics on Heterogeneous Robot Datasets with Suboptimal Data

☆Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning

☆COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning

☆Contrastive In-Context Learning with Active Memory for Task Planning

☆DataMIL: Selecting Data for Robot Imitation Learning with Datamodels

☆DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration

☆Design Decisions that Matter: Modality, State, and Action Horizon in Imitation Learning

☆Don't Get Distracted: Improving Robotic Perception Robustness via In-Context Visual Scene Editing

☆Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels

☆Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees

☆GraspFactory: A Large Object-Centric Grasping Dataset

☆GRIM: Task-Oriented Grasping with Conditioning on Generative Examples

☆Guardian: Detecting Robotic Planning and Execution Errors with Vision-Language Models

☆Humanoid Policy ~ Human Policy

☆Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models

☆MagiClaw: A Dual-Use, Vision-Based Soft Gripper for Bridging the Human Demonstration to Robotic Deployment Gap

☆MolmoAct: Action Reasoning Models that can Reason in Space

☆NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields

☆OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning

☆OpenGVL - Benchmarking Visual Temporal Progress for Data Curation

☆PACER: Progress-Aligned Curation for Error-Resilient Imitation Learning

☆PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting

☆RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction

☆RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving

☆Scale Your Dataset Without Robot

☆SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning

☆Synthetic vs. Real Training Data for Visual Navigation

☆Task Robustness via Re-Labelling Vision-Action Robot Data

☆The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving

☆Touch begins where vision ends: Generalizable policies for contact-rich manipulation

☆Towards Embodiment Scaling Laws in Robot Locomotion

☆Towards Mega-pixel Embodied Vision: Foveated Ego-View Predict Long-Horizon Contextual Intent in Dexterous Manipulation

☆Vision-Language Models Unlock Task-Centric Latent Actions

☆Wolf: Dense Video Captioning with a World Summarization Framework

2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos

Analysis of Learning Dynamics on Heterogeneous Robot Datasets with Suboptimal Data

Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning

COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning

Contrastive In-Context Learning with Active Memory for Task Planning

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels

DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration

Design Decisions that Matter: Modality, State, and Action Horizon in Imitation Learning

Don't Get Distracted: Improving Robotic Perception Robustness via In-Context Visual Scene Editing

Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels

Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees

GraspFactory: A Large Object-Centric Grasping Dataset

GRIM: Task-Oriented Grasping with Conditioning on Generative Examples

Guardian: Detecting Robotic Planning and Execution Errors with Vision-Language Models

Humanoid Policy ~ Human Policy

Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models

MagiClaw: A Dual-Use, Vision-Based Soft Gripper for Bridging the Human Demonstration to Robotic Deployment Gap

MolmoAct: Action Reasoning Models that can Reason in Space

NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields

OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning

OpenGVL - Benchmarking Visual Temporal Progress for Data Curation

PACER: Progress-Aligned Curation for Error-Resilient Imitation Learning

PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting

RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction

RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving

Scale Your Dataset Without Robot

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning

Synthetic vs. Real Training Data for Visual Navigation

Task Robustness via Re-Labelling Vision-Action Robot Data

The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving

Touch begins where vision ends: Generalizable policies for contact-rich manipulation

Towards Embodiment Scaling Laws in Robot Locomotion

Towards Mega-pixel Embodied Vision: Foveated Ego-View Predict Long-Horizon Contextual Intent in Dexterous Manipulation

Vision-Language Models Unlock Task-Centric Latent Actions

Wolf: Dense Video Captioning with a World Summarization Framework