Best Paper Award

Award Nominees

Accepted Contributions

All contributions located at OpenReview venue.

DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies
Tony Tao, Mohan Kumar Srirama, Jason Jingzhou Liu, Kenneth Shaw, Deepak Pathak

Scalable Urban Simulation for Generalizable Micromobility Robot Learning
Wayne Wu, Honglin He, Bolei Zhou

From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
Yilin Wu, Thomas Tian, Gokul Swamy, Andrea Bajcsy

DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy
Sungjae Park, Homanga Bharadhwaj, Shubham Tulsiani

Guiding Data Collection via Factored Scaling Curves
Lihan Zha, Apurva Badithela, Michael Zhang, Justin Lidard, Jeremy Bao, Emily Zhou, David Snyder, Allen Z. Ren, Dhruv Shah, Anirudha Majumdar

Implicit Constraint‑Aware Off‑Policy Correction for Offline Reinforcement Learning
Ali Baheri

DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning
Zhengrong Xue, Shuying Deng, Zhenyang Chen, Yixuan Wang, Zhecheng Yuan, Huazhe Xu

Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence
Pranay Gupta, Henny Admoni, Andrea Bajcsy

Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
Milan Ganai, Rohan Sinha, Christopher Agia, Daniel Morton, Marco Pavone

Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
Adrià López Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su

From Mystery to Mastery: Failure Diagnosis for Improving Manipulation Policies
Som Sagar, Jiafei Duan, Sreevishakh Vasudevan, Yifan Zhou, Heni Ben Amor, Dieter Fox, Ransalu Senanayake

Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation
Siddhant Haldar, Lerrel Pinto

Generalizable Robotic Insertion with World Models
Nicklas Hansen, Iretiayo Akinola, Yijie Guo, Jie Xu, Bingjie Tang, Hao Su, Xiaolong Wang, Abhishek Gupta, Dieter Fox, Yashraj Narang

UNISafe: Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Junwon Seo, Kensuke Nakamura, Andrea Bajcsy

SViP: Sequencing Bimanual Visuomotor Policies with Object-Centric Motion Primitives
Chen Yizhou, Hang Xu, Dongjie Yu, Zeqing Zhang, Yi Ren, Jia Pan

Providing Safety Assurances for Systems with Unknown Dynamics
Hao Wang, Javier Borquez, Somil Bansal

ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos
Junyao Shi, Zhuolun Zhao, Tianyou Wang, Ian Pedroza, Amy Luo, Jie Wang, Yecheng Jason Ma, Dinesh Jayaraman

Fail2Progress: Learning from Failures with Stein Variational Inference for Robot Manipulation
Yixuan Huang, Novella Alvina, Mohanraj Devendran Shanthi, Tucker Hermans

Energy-Based Transfer for Reinforcement Learning
Zeyun Deng, Jasorsi Ghosh, Fiona Xie, Yuzhe Lu, Katia P. Sycara, Joseph Campbell

Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control
Yuxin Chen, Jianglan Wei, Chenfeng Xu, Boyi Li, Masayoshi Tomizuka, Andrea Bajcsy, Thomas Tian

Ask Before You Act: Token-Level Uncertainty for Intervention in Vision-Language-Action Models
Ulas Berk Karli, Tetsu Kurumisawa, Tesca Fitzgerald

GRIM: Task-Oriented Grasping with Conditioning on Generative Examples
Shailesh, Alok Raj, Nayan Kumar, Priya Shukla, Andrew Melnik, Michael Beetz, Gora Chand Nandi

Accelerating Residual Reinforcement Learning with Uncertainty Estimation
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Stefanie Tellex

Flexible Multitask Learning with Factorized Diffusion Policy
Chaoqi Liu

Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification
Jordan Thompson, Anthony Le, Daniel S. Brown, Alan Kuntz

Touch begins where vision ends: Generalizable policies for contact-rich manipulation
Zifan Zhao, Siddhant Haldar, Jinda Cui, Lerrel Pinto

The Benefit of Being Bayesian in Online Conformal Prediction
Zhiyu Zhang, Zhou Lu, Heng Yang

Identifying Precursors to Failures in Robotic Lift-and-Place Tasks
Zeyu Shangguan, Rajas Chitale, Rutvik Patel, Satyandra Gupta, Daniel Seita

A Robust Conformal Uncertainty Handling Framework for Safe Crowd Navigation
Jianpeng Yao, Xiaopan Zhang, Yu Xia, Zejin Wang, Amit Roy-Chowdhury, Jiachen Li

ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
Jiahui Zhang, Yusen Luo, Abrar Anwar, Sumedh Anand Sontakke, Joseph J Lim, Jesse Thomason, Erdem Biyik, Jesse Zhang

Self-Guided Action Diffusion
Rhea Malhotra, Yuejiang Liu, Chelsea Finn

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
Jinning Li, Jiachen Li, Sangjae Bae, David Isele

Space to Time: Out-of-Distribution Generalization of Safety Filters via Temporal Disturbance Encoding
Sander Tonkens, Nikhil Uday Shinde, Azra Begzadić, Michael C. Yip, Jorge Cortes, Sylvia Lee Herbert

Out-of-Distribution-Aware Control Barrier Estimation
Hongzhan Yu, Sicun Gao

Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better
Meng Song

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models
Jacky Kwok, Christopher Agia, Rohan Sinha, Matt Foutter, Shulu Li, Ion Stoica, Azalia Mirhoseini, Marco Pavone

DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning
Rahel Rickenbach, Bruce D Lee, René Zurbrügg, Carmen Amo Alonso, Melanie Zeilinger

Optimal Noise Control of Sampling-Based Predictive Control for Inference Time Scaling
Benjamin Riviere, Joel W. Burdick

Robust Driving Policy Learning with Guided Meta Reinforcement Learning
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel Kochenderfer

SAFE-GIL: SAFEty Guided Imitation Learning for Robotic Systems
Yusuf Umut Ciftci, Darren Chiu, Zeyuan Feng, Gaurav S. Sukhatme, Somil Bansal

Enhancing Robot Safety via MLLM-Based Semantic Interpretation of Failure Data
Aryaman Gupta, Yusuf Umut Ciftci, Somil Bansal