Accepted Contributions

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 

Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
Abulikemu Abuduweili, Changliu Liu 

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 

Guiding reinforcement learning using constrained uncertainty-aware movement primitives
Abhishek Padalkar, Freek Stulp, Gerhard Neumann, João Silvério 

Problem Space Transformations for Generalisation in Behavioural Cloning
Kiran Doshi, Marco Bagatella, Stelian Coros 

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 

Conformalized Reachable Sets for Obstacle Avoidance With Spheres
Yongseok Kwon, Jonathan Michaux, Seth Isaacson, Bohao Zhang, Matthew Ejakov, Katherine A. Skinner, Ram Vasudevan 

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 

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 

RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
Wonsuhk Jung, Dennis Anthony, Utkarsh Aashu Mishra, Nadun Ranawaka Arachchige, Danfei Xu, Shreyas Kousik 

Safe Diffusion Model Predictive Control for Interactive Robotic Crowd Navigation
Sepehr Samavi 

Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications
Joe Eappen, Zikang Xiong, Dipam Patel, Aniket Bera, Suresh Jagannathan 

Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)
Noah Ford, Austin Juhl, Ryan W. Gardner 

Constrained Meta Agnostic Reinforcement Learning
Karam Daaboul, Florian Kuhm, Tim Joseph, J. Marius Zoellner 

Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search
Amna Najib, Stefan Depeweg, Phillip Swazinna 

Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
Hanjiang Hu, Yujie Yang, Tianhao Wei, Changliu Liu 

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 

Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation
Zheyu Zhuang, Ruiyu Wang, Nils Ingelhag, Ville Kyrki, Danica Kragic 

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 

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 

Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures
Kensuke Nakamura, Thomas Tian, Andrea Bajcsy 

PACER: Preference-conditioned All-terrain Costmap genERation
Luisa Mao, Garrett Warnell, Peter Stone, Joydeep Biswas 

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 

Neural MP: A Generalist Neural Motion Planner
Murtaza Dalal, Jiahui Yang, Russell Mendonca, Youssef Khaky, Russ Salakhutdinov, Deepak Pathak 

Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
Venkatesh Pattabiraman, Yifeng Cao, Siddhant Haldar, Lerrel Pinto, Raunaq Bhirangi 

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 

Planning with Adaptive World Models for Autonomous Driving
Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan