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

Accepted papers (35)

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

1. 2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos

   Marvin Heidinger, Snehal Jauhri, Vignesh Prasad, Georgia Chalvatzaki · PDF

2. Analysis of Learning Dynamics on Heterogeneous Robot Datasets with Suboptimal Data

   Haruki Abe, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada · PDF

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

   Saharsh Saharsh, Shubham Sonkar, Pushpak Jagtap, Ravi Prakash · PDF

4. COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning

   Sateesh Kumar, Shivin Dass, Georgios Pavlakos, Roberto Martín-Martín · PDF

5. Contrastive In-Context Learning with Active Memory for Task Planning

   Jiho Lee, Kyungjae Lee, Eunwoo Kim · PDF

6. DataMIL: Selecting Data for Robot Imitation Learning with Datamodels

   Shivin Dass, Alaa Khaddaj, Logan Engstrom, Aleksander Madry, Andrew Ilyas, Roberto Martín-Martín · PDF

7. DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration

   Lingxiao Guo, Zhengrong Xue, Zijing Xu, Huazhe Xu · PDF

8. 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

9. 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

10. 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

11. Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees

    Daniel Ordonez-Apraez, Vladimir R Kostic, Alek Fröhlich, Karim Lounici, Massimiliano Pontil · PDF

12. GraspFactory: A Large Object-Centric Grasping Dataset

    Srinidhi Kalgundi Srinivas, Yash Shukla, Adam Arnold, Sachin Chitta · PDF

13. GRIM: Task-Oriented Grasping with Conditioning on Generative Examples

    Shailesh, Alok Raj, Nayan Kumar, Priya Shukla, Andrew Melnik, Michael Beetz, Gora Chand Nandi · PDF

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

    Paul Pacaud, Ricardo Garcia Pinel, Shizhe Chen, Cordelia Schmid · PDF

15. 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

16. 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

17. 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

18. 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

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

    Eric Zhu, Mara Levy, Matthew Gwilliam, Abhinav Shrivastava · PDF

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

    Fanqi Lin, Ruiqian Nai, Yingdong Hu, Jiacheng You, Junming Zhao, Yang Gao · PDF

21. OpenGVL - Benchmarking Visual Temporal Progress for Data Curation

    Paweł Budzianowski, Emilia Wiśnios, Gracjan Góral, Igor Kulakov, Viktor Petrenko, Krzysztof Walas · PDF

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

    Shreyas Kumar, Ravi Prakash · PDF

23. PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting

    Yihong Xu, Yuan Yin, Eloi Zablocki, Tuan-Hung Vu, Alexandre Boulch, Matthieu Cord · PDF

24. 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

25. RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving

    Carlo Bosio, Greg Woelki, Noureldin Hendy, Nicholas Roy, Byungsoo Kim · PDF

26. Scale Your Dataset Without Robot

    Kyungzun Rim, Jiwon Kim, Ilkwon Hong, SuHyun Yoon · PDF

27. 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

28. Synthetic vs. Real Training Data for Visual Navigation

    Lauri Suomela, Sasanka Kuruppu Arachchige, German F. Torres, Harry Edelman, Joni-Kristian Kämäräinen · PDF

29. Task Robustness via Re-Labelling Vision-Action Robot Data

    Artur Kuramshin, Ozgur Aslan, Cyrus Neary, Glen Berseth · PDF

30. 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

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

    Zifan Zhao, Siddhant Haldar, Jinda Cui, Lerrel Pinto, Raunaq Bhirangi · PDF

32. 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

33. 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

34. 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

35. 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