CoRL Workshop on Safe and Robust Robot Learning for Operation in the Real World

Accepted papers (27)

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

1. Avoid Everything: Model-Free Collision Avoidance with Expert-Guided Fine-Tuning

   Adam Fishman, Aaron Walsman, Mohak Bhardwaj, Wentao Yuan, Balakumar Sundaralingam, Byron Boots, Dieter Fox · PDF

2. Conformalized Reachable Sets for Obstacle Avoidance With Spheres

   Yongseok Kwon, Jonathan Michaux, Seth Isaacson, Bohao Zhang, Matthew Ejakov, Katherine A. Skinner, Ram Vasudevan · PDF

3. Constrained Meta Agnostic Reinforcement Learning

   Karam Daaboul, Florian Kuhm, Tim Joseph, J. Marius Zoellner · PDF

4. Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)

   Noah Ford, Austin Juhl, Ryan W. Gardner · PDF

5. DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation

   Peiqi Liu, Zhanqiu Guo, Mohit Warke, Soumith Chintala, Chris Paxton, Nur Muhammad Mahi Shafiullah, Lerrel Pinto · PDF

6. Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation

   Zheyu Zhuang, Ruiyu Wang, Nils Ingelhag, Ville Kyrki, Danica Kragic · PDF

7. Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity

   ABULIKEMU ABUDUWEILI, Changliu Liu · PDF

8. Evolving Control: Evolved High Frequency Control for Continuous Control Tasks

   Samuel Holt, Todor Davchev, Dhruva Tirumala, Ben Moran, Yixin Lin, Antoine Laurens, Atil Iscen, Erik Frey, Markus Wulfmeier, Francesco Romano, Nicolas Heess · PDF

9. Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization

   Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe · PDF

10. Guiding reinforcement learning using constrained uncertainty-aware movement primitives

    Abhishek Padalkar, Freek Stulp, Gerhard Neumann, João Silvério · PDF

11. Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search

    Amna Najib, Stefan Depeweg, Phillip Swazinna · PDF

12. Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins

    Venkatesh Pattabiraman, Yifeng Cao, Siddhant Haldar, Lerrel Pinto, Raunaq Bhirangi · PDF

13. NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

    Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta · PDF

14. Neural Eulerian Scene Flow Fields

    Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl · PDF

15. Neural MP: A Generalist Neural Motion Planner

    Murtaza Dalal, Jiahui Yang, Russell Mendonca, Youssef Khaky, Russ Salakhutdinov, Deepak Pathak · PDF

16. Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures

    Kensuke Nakamura, Thomas Tian, Andrea Bajcsy · PDF

17. PACER: Preference-conditioned All-terrain Costmap genERation

    Luisa Mao, Garrett Warnell, Peter Stone, Joydeep Biswas · PDF

18. Planning with Adaptive World Models for Autonomous Driving

    Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan · PDF

19. Problem Space Transformations for Generalisation in Behavioural Cloning

    Kiran Doshi, Marco Bagatella, Stelian Coros · PDF

20. RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution

    Wonsuhk Jung, Dennis Anthony, Utkarsh Aashu Mishra, Nadun Ranawaka Arachchige, Danfei Xu, Shreyas Kousik · PDF

21. Safe Diffusion Model Predictive Control for Interactive Robotic Crowd Navigation

    Sepehr Samavi, Anthony Lem, Fumiaki Sato, Sirui Chen, Qiao Gu, Keijiro Yano, Angela P. Schoellig, Florian Shkurti · PDF

22. Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications

    Joe Eappen, Zikang Xiong, Dipam Patel, Aniket Bera, Suresh Jagannathan · PDF

23. Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards

    Lukas Brunke, Yanni Zhang, Ralf Römer, Jack Naimer, Nikola Staykov, SiQi Zhou, Angela P. Schoellig · PDF

24. Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations

    Michael Kurenkov, Sajad Marvi, Julian Schmidt, Christoph Bernd Rist, Alessandro Canevaro, Hang Yu, Julian Jordan, Georg Schildbach, Abhinav Valada · PDF

25. Uncertainty-Aware Failure Detection for Imitation Learning Robot Policies

    Chen Xu, Tony Khuong Nguyen, Patrick Miller, Robert Lee, Paarth Shah, Rares Andrei Ambrus, Haruki Nishimura, Masha Itkina · PDF

26. Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress

    Christopher Agia, Rohan Sinha, Jingyun Yang, Ziang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg · PDF

27. Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation

    Hanjiang Hu, Yujie Yang, Tianhao Wei, Changliu Liu · PDF