CoRL 2025

263 papers

“Stack It Up!”: 3D Stable Structure Generation from 2D Hand-Drawn Sketch Yiqing Xu, Linfeng Li, Cunjun Yu, David Hsu

$\pi_0.5$: A Vision-Language-Action Model with Open-World Generalization Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Robert Equi, Chelsea Finn, Niccolo Fusai, Manuel Y. Galliker, Dibya Ghosh, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Z. Ren, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, James Tanner, Quan Vuong, Homer Walke, Anna Walling, Haohuan Wang, Lili Yu, Ury Zhilinsky

$\texttt{SPIN}$: Distilling $\texttt{Skill-RRT}$ for Long-Horizon Prehensile and Non-Prehensile Manipulation Haewon Jung, Donguk Lee, Haecheol Park, Kim Jun Hyeop, Beomjoon Kim

$Door(s)$: Junction State Estimation for Efficient Exploration in Reinforcement Learning Benjamin Fele, Jan Babic

3DS-VLA: A 3D Spatial-Aware Vision Language Action Model for Robust Multi-Task Manipulation Xiaoqi Li, Liang Heng, Jiaming Liu, Yan Shen, Chenyang Gu, Zhuoyang Liu, Hao Chen, Nuowei Han, Renrui Zhang, Hao Tang, Shanghang Zhang, Hao Dong

Action-Free Reasoning for Policy Generalization Jaden Clark, Suvir Mirchandani, Dorsa Sadigh, Suneel Belkhale

ActLoc: Learning to Localize on the Move via Active Viewpoint Selection Jiajie Li, Boyang Sun, Luca Di Giammarino, Hermann Blum, Marc Pollefeys

Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox, Mohamed Ghanem, Masoud Moghani, Pierre Barroso, Benjamin Joffe, Animesh Garg

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

AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation Yizheng Zhang, Zhenjun Yu, JiaXin Lai, Cewu Lu, Lei Han

Agreement Volatility: A Second-Order Metric for Uncertainty Quantification in Surgical Robot Learning Jordan Thompson, Britton Jordan, Daniel S. Brown, Alan Kuntz

AimBot: A Simple Auxiliary Visual Cue to Enhance Spatial Awareness of Visuomotor Policies Yinpei Dai, Jayjun Lee, Yichi Zhang, Ziqiao Ma, Jianing Yang, Amir Zadeh, Chuan Li, Nima Fazeli, Joyce Chai

AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons Hongjie Fang, Chenxi Wang, Yiming Wang, Jingjing Chen, Shangning Xia, Jun Lv, Zihao He, Xiyan Yi, Yunhan Guo, Xinyu Zhan, Lixin Yang, Weiming Wang, Cewu Lu, Hao-Shu Fang

AnyPlace: Learning Generalizable Object Placement for Robot Manipulation Yuchi Zhao, Miroslav Bogdanovic, Chengyuan Luo, Steven Tohme, Kourosh Darvish, Alan Aspuru-Guzik, Florian Shkurti, Animesh Garg

ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly Jiankai Sun, Aidan Curtis, Yang You, Yan Xu, Michael Koehle, Qianzhong Chen, Suning Huang, Leonidas Guibas, Sachin Chitta, Mac Schwager, Hui Li

Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling Xiaowen Qiu, Jincheng Yang, Yian Wang, Zhehuan Chen, Yufei Wang, Tsun-Hsuan Wang, Zhou Xian, Chuang Gan

Articulated Object Estimation in the Wild Abdelrhman Werby, Martin Büchner, Adrian Röfer, Chenguang Huang, Wolfram Burgard, Abhinav Valada

AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit Yang Li, Junfan Chen, Feng Xue, Jiabin Qiu, Wenbin Li, Qingrui Zhang, Ying Wen, Wei Pan

ATK: Automatic Task-Driven Keypoint Selection for Robust Policy Learning Yunchu Zhang, Shubham Mittal, Zhengyu Zhang, Liyiming Ke, Siddhartha Srinivasa, Abhishek Gupta

AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World Zhiyuan Zhou, Pranav Atreya, You Liang Tan, Karl Pertsch, Sergey Levine

BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities Yunfan Jiang, Ruohan Zhang, Josiah Wong, Chen Wang, Yanjie Ze, Hang Yin, Cem Gokmen, Shuran Song, Jiajun Wu, Li Fei-Fei

Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing Gokul Puthumanaillam, Aditya Penumarti, Manav Vora, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Jane Shin, Melkior Ornik

BEVCalib: LiDAR-Camera Calibration via Geometry-Guided Bird’s-Eye View Representation Weiduo Yuan, Jerry Li, Justin Yue, Divyank Shah, Konstantinos Karydis, Hang Qiu

Beyond Constant Parameters: Hyper Prediction Models and HyperMPC Jan Węgrzynowski, Piotr Kicki, Grzegorz Czechmanowski, Maciej Piotr Krupka, Krzysztof Walas

Bipedal Balance Control with Whole-Body Musculoskeletal Standing and Falling Simulations Chengtian Ma, Yunyue Wei, Chenhui Zuo, Chen Zhang, Yanan Sui

BranchOut: Capturing Realistic Multimodality in Autonomous Driving Decisions Hee Jae Kim, Zekai Yin, Lei Lai, Jason Lee, Eshed Ohn-Bar

Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination Kevin Fu, Shalin Jain, Pierce Howell, Harish Ravichandar

CARE: Enhancing Safety of Visual Navigation Through Collision Avoidance via Repulsive Estimation Joonkyung Kim, Joonyeol Sim, Woojun Kim, Katia P. Sycara, Changjoo Nam

CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, Andreas Geiger

CASPER: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models Huihan Liu, Rutav Shah, Shuijing Liu, Jack Pittenger, Mingyo Seo, Yuchen Cui, Yonatan Bisk, Roberto Martín-Martín, Yuke Zhu

CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion Jiahua Ma, Yiran Qin, Yixiong Li, Xuanqi Liao, Yulan Guo, Ruimao Zhang

CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks Ce Hao, Anxing Xiao, Zhiwei Xue, Harold Soh

CLAMP: Crowdsourcing a LArge-Scale In-the-Wild Haptic Dataset with an Open-Source Device for Multimodal Robot Perception Pranav N. Thakkar, Shubhangi Sinha, Karan Baijal, Yuhan Bian, Leah Lackey, Ben Dodson, Heisen Kong, Jueun Kwon, Amber Li, Yifei Hu, Alexios Rekoutis, Tom Silver, Tapomayukh Bhattacharjee

CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation Sung-Wook Lee, Xuhui Kang, Brandon Y. Yang, Yen-Ling Kuo

CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks Yixuan Li, Yutang Lin, Jieming Cui, Tengyu Liu, Wei Liang, Yixin Zhu, Siyuan Huang

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes Zeyuan Chen, Qiyang Yan, Yuanpei Chen, Tianhao Wu, Jiyao Zhang, Zihan Ding, Jinzhou Li, Yaodong Yang, Hao Dong

Co-Design of Soft Gripper with Neural Physics Sha Yi, Xueqian Bai, Adabhav Singh, Jianglong Ye, Michael T. Tolley, Xiaolong Wang

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction Yizhuo Wang, Haodong He, Jingsong Liang, Yuhong Cao, Ritabrata Chakraborty, Guillaume Adrien Sartoretti

COLLAGE: Adaptive Fusion-Based Retrieval for Augmented Policy Learning Sateesh Kumar, Shivin Dass, Georgios Pavlakos, Roberto Martín-Martín

COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping Jun Yamada, Alexander Luis Mitchell, Jack Collins, Ingmar Posner

ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion Zichao Hu, Chen Tang, Michael Joseph Munje, Yifeng Zhu, Alex Liu, Shuijing Liu, Garrett Warnell, Peter Stone, Joydeep Biswas

Constrained Style Learning from Imperfect Demonstrations Under Task Optimality Kehan Wen, Chenhao Li, Junzhe He, Marco Hutter

Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing Hao Ma, Sabrina Bodmer, Andrea Carron, Melanie Zeilinger, Michael Muehlebach

Constraint-Preserving Data Generation for One-Shot Visuomotor Policy Generalization Kevin Lin, Varun Ragunath, Andrew McAlinden, Aaditya Prasad, Jimmy Wu, Yuke Zhu, Jeannette Bohg

Contrastive Forward Prediction Reinforcement Learning for Adaptive Fault-Tolerant Legged Robots Yangqing Fu, Yang Zhang, Qiyue Yang, Liyun Yan, Zhanxiang Cao, Yue Gao

ControlVLA: Few-Shot Object-Centric Adaptation for Pre-Trained Vision-Language-Action Models Puhao Li, Yingying Wu, Ziheng Xi, Wanlin Li, Yuzhe Huang, Zhiyuan Zhang, Yinghan Chen, Jianan Wang, Song-Chun Zhu, Tengyu Liu, Siyuan Huang

CoRI: Communication of Robot Intent for Physical Human-Robot Interaction Junxiang Wang, Emek Barış Küçüktabak, Rana Soltani Zarrin, Zackory Erickson

Cost-Aware Discovery of Contextual Failures Using Bayesian Active Learning Anjali Parashar, Joseph Zhang, Yingke Li, Chuchu Fan

Cross-Sensor Touch Generation Samanta Rodriguez, Yiming Dou, Miquel Oller, Andrew Owens, Nima Fazeli

Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL Using One Human Demonstration Tyler Ga Wei Lum, Olivia Y. Lee, Karen Liu, Jeannette Bohg

CUPID: Curating Data Your Robot Loves with Influence Functions Christopher Agia, Rohan Sinha, Jingyun Yang, Rika Antonova, Marco Pavone, Haruki Nishimura, Masha Itkina, Jeannette Bohg

D-CODA: Diffusion for Coordinated Dual-Arm Data Augmentation I-Chun Arthur Liu, Jason Chen, Gaurav S. Sukhatme, Daniel Seita

D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation Jun Yamada, Shaohong Zhong, Jack Collins, Ingmar Posner

Data Retrieval with Importance Weights for Few-Shot Imitation Learning Amber Xie, Rahul Chand, Dorsa Sadigh, Joey Hejna

Decentralized Aerial Manipulation of a Cable-Suspended Load Using Multi-Agent Reinforcement Learning Jack Zeng, Andreu Matoses Gimenez, Eugene Vinitsky, Javier Alonso-Mora, Sihao Sun

Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments Jiahui Yang, Jason Jingzhou Liu, Yulong Li, Youssef Khaky, Kenneth Shaw, Deepak Pathak

DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration Lingxiao Guo, Zhengrong Xue, Zijing Xu, Huazhe Xu

DEQ-MPC : Deep Equilibrium Model Predictive Control Swaminathan Gurumurthy, Khai Nguyen, Arun L Bishop, J Zico Kolter, Zachary Manchester

Dexplore: Scalable Neural Control for Dexterous Manipulation from Reference Scoped Exploration Sirui Xu, Yu-Wei Chao, Liuyu Bian, Arsalan Mousavian, Yu-Xiong Wang, Liangyan Gui, Wei Yang

DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation Suzannah Wistreich, Baiyu Shi, Stephen Tian, Samuel Clarke, Michael Nath, Chengyi Xu, Zhenan Bao, Jiajun Wu

DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation Mengda Xu, Han Zhang, Yifan Hou, Zhenjia Xu, Linxi Fan, Manuela Veloso, Shuran Song

DexVLA: Vision-Language Model with Plug-in Diffusion Expert for General Robot Control Junjie Wen, Yichen Zhu, Jinming Li, Zhibin Tang, Chaomin Shen, Feifei Feng

Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation Tongxuan Tian, Haoyang Li, Bo Ai, Xiaodi Yuan, Zhiao Huang, Hao Su

Diffusion-Guided Multi-Arm Motion Planning Viraj Parimi, Brian C. Williams

Disentangled Multi-Context Meta-Learning: Unlocking Robust and Generalized Task Learning Seonsoo Kim, Jun-Gill Kang, Taehong Kim, Seongil Hong

Distilling On-Device Language Models for Robot Planning with Minimal Human Intervention Zachary Ravichandran, Ignacio Hounie, Fernando Cladera, Alejandro Ribeiro, George J. Pappas, Vijay Kumar

Distributed Upload and Active Labeling for Resource-Constrained Fleet Learning Oguzhan Akcin, Harsh Goel, Ruihan Zhao, Sandeep P. Chinchali

Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors Rafael Cathomen, Mayank Mittal, Marin Vlastelica, Marco Hutter

DiWA: Diffusion Policy Adaptation with World Models Akshay L Chandra, Iman Nematollahi, Chenguang Huang, Tim Welschehold, Wolfram Burgard, Abhinav Valada

Do LLM Modules Generalize? a Study on Motion Generation for Autonomous Driving Mingyi Wang, Jingke Wang, Tengju Ye, Kaicheng Yu

DreamGen: Unlocking Generalization in Robot Learning Through Video World Models Joel Jang, Seonghyeon Ye, Zongyu Lin, Jiannan Xiang, Johan Bjorck, Yu Fang, Fengyuan Hu, Spencer Huang, Kaushil Kundalia, Yen-Chen Lin, Loïc Magne, Ajay Mandlekar, Avnish Narayan, You Liang Tan, Guanzhi Wang, Jing Wang, Qi Wang, Yinzhen Xu, Xiaohui Zeng, Kaiyuan Zheng, Ruijie Zheng, Ming-Yu Liu, Luke Zettlemoyer, Dieter Fox, Jan Kautz, Scott Reed, Yuke Zhu, Linxi Fan

Dynamics-Compliant Trajectory Diffusion for Super-Nominal Payload Manipulation Anuj Pasricha, Joewie J. Koh, Jay Vakil, Alessandro Roncone

Efficient Evaluation of Multi-Task Robot Policies with Active Experiment Selection Abrar Anwar, Rohan Gupta, Zain Merchant, Sayan Ghosh, Willie Neiswanger, Jesse Thomason

Elucidating the Design Space of Torque-Aware Vision-Language-Action Models Zongzheng Zhang, Haobo Xu, Zhuo Yang, Chenghao Yue, Zehao Lin, Huan-ang Gao, Ziwei Wang, Hao Zhao

Embrace Contacts: Humanoid Shadowing with Full Body Ground Contacts Ziwen Zhuang, Hang Zhao

Enabling Long(er) Horizon Imitation for Manipulation Tasks by Modeling Subgoal Transitions Shivam Jain, Sachit Sachdeva, Rohan Paul

EndoVLA: Dual-Phase Vision-Language-Action for Precise Autonomous Tracking in Endoscopy Ng Chi Kit, Long Bai, Guankun Wang, Yupeng Wang, Huxin Gao, Kun Yuan, Chenhan Jin, Tieyong Zeng, Hongliang Ren

Ensuring Force Safety in Vision-Guided Robotic Manipulation via Implicit Tactile Calibration Lai Wei, Jiahua Ma, Yibo Hu, Ruimao Zhang

Enter the Mind Palace: Reasoning and Planning for Long-Term Active Embodied Question Answering Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng, Andrzej Marek Reinke, Bandi Jai Krishna, Navid Kayhani, Oriana Peltzer, David Fan, Amirreza Shaban, Sung-Kyun Kim, Mykel Kochenderfer, Ali-akbar Agha-mohammadi, Shayegan Omidshafiei

Estimating Value of Assistance for Online POMDP Robotic Agents Yuval Goshen, Sarah Keren

Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance Wenyan Yang, Ahmet Tikna, Yi Zhao, Yuying Zhang, Luigi Palopoli, Marco Roveri, Joni Pajarinen

exUMI: Extensible Robot Teaching System with Action-Aware Task-Agnostic Tactile Representation Yue Xu, Litao Wei, Pengyu An, Qingyu Zhang, Yong-Lu Li

Eye, Robot: Learning to Look to Act with a BC-RL Perception-Action Loop Justin Kerr, Kush Hari, Ethan Weber, Chung Min Kim, Brent Yi, Tyler Bonnen, Ken Goldberg, Angjoo Kanazawa

Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning Yunsheng Tian, Joshua Jacob, Yijiang Huang, Jialiang Zhao, Edward Li Gu, Pingchuan Ma, Annan Zhang, Farhad Javid, Branden Romero, Sachin Chitta, Shinjiro Sueda, Hui Li, Wojciech Matusik

FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots Botian Xu, Haoyang Weng, Qingzhou Lu, Yang Gao, Huazhe Xu

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

Fast Flow-Based Visuomotor Policies via Conditional Optimal Transport Couplings Andreas Sochopoulos, Nikolay Malkin, Nikolaos Tsagkas, Joao Moura, Michael Gienger, Sethu Vijayakumar

FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset Zhaxizhuom Zhaxizhuoma, Kehui Liu, Chuyue Guan, Zhongjie Jia, Ziniu Wu, Xin Liu, Tianyu Wang, Shuai Liang, Pengan Chen, Pingrui Zhang, Haoming Song, Delin Qu, Dong Wang, Zhigang Wang, Nieqing Cao, Yan Ding, Bin Zhao, Xuelong Li

FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real Weiheng Liu, Yuxuan Wan, Jilong Wang, Yuxuan Kuang, Xuesong Shi, Haoran Li, Dongbin Zhao, Zhizheng Zhang, He Wang

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting Pierrick Lorang, Hong Lu, Johannes Huemer, Patrik Zips, Matthias Scheutz

FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference Qian Feng, Jianxiang Feng, Zhaopeng Chen, Rudolph Triebel, Alois Knoll

First Order Model-Based RL Through Decoupled Backpropagation Joseph Amigo, Rooholla Khorrambakht, Elliot Chane-Sane, Nicolas Mansard, Ludovic Righetti

FLARE: Robot Learning with Implicit World Modeling Ruijie Zheng, Jing Wang, Scott Reed, Johan Bjorck, Yu Fang, Fengyuan Hu, Joel Jang, Kaushil Kundalia, Zongyu Lin, Loïc Magne, Avnish Narayan, You Liang Tan, Guanzhi Wang, Qi Wang, Jiannan Xiang, Yinzhen Xu, Seonghyeon Ye, Jan Kautz, Furong Huang, Yuke Zhu, Linxi Fan

FlashBack: Consistency Model-Accelerated Shared Autonomy Luzhe Sun, Jingtian Ji, Xiangshan Tan, Matthew Walter

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Flow Models Moritz Reuss, Hongyi Zhou, Marcel Rühle, Ömer Erdinç Yağmurlu, Fabian Otto, Rudolf Lioutikov

Focusing on What Matters: Object-Agent-Centric Tokenization for Vision Language Action Models Rokas Bendikas, Daniel Dijkman, Markus Peschl, Sanjay Haresh, Pietro Mazzaglia

FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection Anqi Joyce Yang, James Tu, Nikita Dvornik, Enxu Li, Raquel Urtasun

Force-Modulated Visual Policy for Robot-Assisted Dressing with Arm Motions Alexis Yihong Hao, Yufei Wang, Navin Sriram Ravie, Bharath Hegde, David Held, Zackory Erickson

From Real World to Logic and Back: Learning Generalizable Relational Concepts for Long Horizon Robot Planning Naman Shah, Jayesh Nagpal, Siddharth Srivastava

From Space to Time: Enabling Adaptive Safety with Learned Value Functions via Disturbance Recasting Sander Tonkens, Nikhil Uday Shinde, Azra Begzadić, Michael C. Yip, Jorge Cortes, Sylvia Lee Herbert

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity Luca Grillotti, Lisa Coiffard, Oscar Pang, Maxence Faldor, Antoine Cully

GC-VLN: Instruction as Graph Constraints for Training-Free Vision-and-Language Navigation Hang Yin, Haoyu Wei, Xiuwei Xu, Wenxuan Guo, Jie Zhou, Jiwen Lu

Gen2Act: Human Video Generation in Novel Scenarios Enables Generalizable Robot Manipulation Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani

Generalist Robot Manipulation Beyond Action Labeled Data Alexander Spiridonov, Jan-Nico Zaech, Nikolay Nikolov, Luc Van Gool, Danda Pani Paudel

Generating Robot Constitutions & Benchmarks for Semantic Safety Pierre Sermanet, Anirudha Majumdar, Alex Irpan, Dmitry Kalashnikov, Vikas Sindhwani

Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation Chuye Zhang, Xiaoxiong Zhang, Linfang Zheng, Wei Pan, Wei Zhang

GENNAV: Polygon Mask Generation for Generalized Referring Navigable Regions Kei Katsumata, Yui Iioka, Naoki Hosomi, Teruhisa Misu, Kentaro Yamada, Komei Sugiura

Geometric Red-Teaming for Robotic Manipulation Divyam Goel, Yufei Wang, Tiancheng Wu, Guixiu Qiao, Pavel Piliptchak, David Held, Zackory Erickson

GLOVER++: Unleashing the Potential of Affordance Learning from Human Behaviors for Robotic Manipulation Teli Ma, Jia Zheng, Zifan Wang, Ziyao Gao, Jiaming Zhou, Junwei Liang

Granular Loco-Manipulation: Repositioning Rocks Through Strategic Sand Avalanche Haodi Hu, Yue Wu, Daniel Seita, Feifei Qian

GraphEQA: Using 3D Semantic Scene Graphs for Real-Time Embodied Question Answering Saumya Saxena, Blake Buchanan, Chris Paxton, Peiqi Liu, Bingqing Chen, Narunas Vaskevicius, Luigi Palmieri, Jonathan Francis, Oliver Kroemer

GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation Abhay Deshpande, Yuquan Deng, Jordi Salvador, Arijit Ray, Winson Han, Jiafei Duan, Rose Hendrix, Yuke Zhu, Ranjay Krishna

GraspQP: Differentiable Optimization of Force Closure for Diverse and Robust Dexterous Grasping René Zurbrügg, Andrei Cramariuc, Marco Hutter

GraspVLA: A Grasping Foundation Model Pre-Trained on Billion-Scale Synthetic Action Data Shengliang Deng, Mi Yan, Songlin Wei, Haixin Ma, Yuxin Yang, Jiayi Chen, Zhiqi Zhang, Taoyu Yang, Xuheng Zhang, Heming Cui, Zhizheng Zhang, He Wang

HALO : Human Preference Aligned Offline Reward Learning for Robot Navigation Gershom Seneviratne, Jianyu An, Sahire Ellahy, Kasun Weerakoon, Mohamed Bashir Elnoor, Jonathan Deepak Kannan, Amogha Thalihalla Sunil, Dinesh Manocha

Hand-Eye Autonomous Delivery: Learning Humanoid Navigation, Locomotion and Reaching Sirui Chen, Yufei Ye, Zi-ang Cao, Pei Xu, Jennifer Lew, Karen Liu

Hold My Beer: Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control Yitang Li, Yuanhang Zhang, Wenli Xiao, Chaoyi Pan, Haoyang Weng, Guanqi He, Tairan He, Guanya Shi

HuB: Learning Extreme Humanoid Balance Tong Zhang, Boyuan Zheng, Ruiqian Nai, Yingdong Hu, Yen-Jen Wang, Geng Chen, Fanqi Lin, Jiongye Li, Chuye Hong, Koushil Sreenath, Yang Gao

Human-like Navigation in a World Built for Humans Bhargav Chandaka, Gloria Xinyue Wang, Haozhe Chen, Henry Che, Albert J. Zhai, Shenlong Wang

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

HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation Li Sun, Jiefeng Wu, Feng Chen, Ruizhe Liu, Yanchao Yang

Imagine, Verify, Execute: Memory-Guided Agentic Exploration with Vision-Language Models Seungjae Lee, Daniel Ekpo, Haowen Liu, Furong Huang, Abhinav Shrivastava, Jia-Bin Huang

Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics Ryoga Oishi, Sho Sakaino, Toshiaki Tsuji

ImLPR: Image-Based LiDAR Place Recognition Using Vision Foundation Models Minwoo Jung, Lanke Frank Tarimo Fu, Maurice Fallon, Ayoung Kim

ImMimic: Cross-Domain Imitation from Human Videos via Mapping and Interpolation Yangcen Liu, Woo Chul Shin, Yunhai Han, Zhenyang Chen, Harish Ravichandar, Danfei Xu

Improving Efficiency of Sampling-Based Motion Planning via Message-Passing Monte Carlo Makram Chahine, T. Konstantin Rusch, Zach J Patterson, Daniela Rus

In-Context Iterative Policy Improvement for Dynamic Manipulation Mark Van der Merwe, Devesh K. Jha

IRIS: An Immersive Robot Interaction System Xinkai Jiang, Qihao Yuan, Enes Ulas Dincer, Hongyi Zhou, Ge Li, Xueyin Li, Xiaogang Jia, Timo Schnizer, Nicolas Schreiber, Weiran Liao, Julius Haag, Kailai Li, Gerhard Neumann, Rudolf Lioutikov

JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes Shalin Jain, Jiazhen Liu, Siva Kailas, Harish Ravichandar

Joint Model-Based Model-Free Diffusion for Planning with Constraints Wonsuhk Jung, Utkarsh Aashu Mishra, Nadun Ranawaka Arachchige, Yongxin Chen, Danfei Xu, Shreyas Kousik

KDPE: A Kernel Density Estimation Strategy for Diffusion Policy Trajectory Selection Andrea Rosasco, Federico Ceola, Giulia Pasquale, Lorenzo Natale

KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation Di Zhang, Chengbo Yuan, Chuan Wen, Hai Zhang, Junqiao Zhao, Yang Gao

KineSoft: Learning Proprioceptive Manipulation Policies with Soft Robot Hands Uksang Yoo, Jonathan Francis, Jean Oh, Jeffrey Ichnowski

KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning Alice Kate Li, Thales C. Silva, Victoria Edwards, Vijay Kumar, M. Ani Hsieh

LaDi-WM: A Latent Diffusion-Based World Model for Predictive Manipulation Yuhang Huang, Jiazhao Zhang, Shilong Zou, Xinwang Liu, Ruizhen Hu, Kai Xu

Latent Adaptive Planner for Dynamic Manipulation Donghun Noh, Deqian Kong, Minglu Zhao, Andrew Lizarraga, Jianwen Xie, Ying Nian Wu, Dennis Hong

Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation Chengyang He, Gadiel Mark Sznaier Camps, Xu Liu, Mac Schwager, Guillaume Adrien Sartoretti

LaVA-Man: Learning Visual Action Representations for Robot Manipulation Chaoran Zhu, Hengyi Wang, Yik Lung Pang, Changjae Oh

Learn from What We HAVE: History-Aware VErifier That Reasons About past Interactions Online Yishu Li, Xinyi Mao, Ying Yuan, Kyutae Sim, Ben Eisner, David Held

Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation Peiyuan Zhi, Peiyang Li, Jianqin Yin, Baoxiong Jia, Siyuan Huang

Learning Deployable Locomotion Control via Differentiable Simulation Clemens Schwarke, Victor Klemm, Joshua Bagajo, Jean Pierre Sleiman, Ignat Georgiev, Jesus Tordesillas Torres, Marco Hutter

Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames Krishan Rana, Jad Abou-Chakra, Sourav Garg, Robert Lee, Ian Reid, Niko Suenderhauf

Learning Impact-Rich Rotational Maneuvers via Centroidal Velocity Rewards and Sim-to-Real Techniques: A One-Leg Hopper Flip Case Study Dongyun Kang, Gijeong Kim, JongHun Choe, Hajun Kim, Hae-Won Park

Learning Long-Context Diffusion Policies via Past-Token Prediction Marcel Torne Villasevil, Andy Tang, Yuejiang Liu, Chelsea Finn

Learning Long-Horizon Robot Manipulation Skills via Privileged Action Xiaofeng Mao, Yucheng Xu, Zhaole Sun, Elle Miller, Daniel Layeghi, Michael Mistry

Learning Smooth State-Dependent Traversability from Dense Point Clouds Zihao Dong, Alan Papalia, Leonard Jung, Alenna Spiro, Philip R Osteen, Christa S. Robison, Michael Everett

Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation Rachel Luo, Heng Yang, Michael Watson, Apoorva Sharma, Sushant Veer, Edward Schmerling, Marco Pavone

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Aidan Curtis, Hao Tang, Thiago Veloso, Kevin Ellis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

LocoFormer: Generalist Locomotion via Long-Context Adaptation Min Liu, Deepak Pathak, Ananye Agarwal

LocoTouch: Learning Dynamic Quadrupedal Transport with Tactile Sensing Changyi Lin, Yuxin Ray Song, Boda Huo, Mingyang Yu, Yikai Wang, Shiqi Liu, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Yiyue Luo, Ding Zhao

LodeStar: Long-Horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Weikang Wan, Jiawei Fu, Xiaodi Yuan, Yifeng Zhu, Hao Su

Long Range Navigator (LRN): Extending Robot Planning Horizons Beyond Metric Maps Matt Schmittle, Rohan Baijal, Nathan Hatch, Rosario Scalise, Mateo Guaman Castro, Sidharth Talia, Khimya Khetarpal, Byron Boots, Siddhartha Srinivasa

Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation Yiguo Fan, Shuanghao Bai, Xinyang Tong, Pengxiang Ding, Yuyang Zhu, Hongchao Lu, Fengqi Dai, Wei Zhao, Yang Liu, Siteng Huang, Zhaoxin Fan, Badong Chen, Donglin Wang

Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation Yajvan Ravan, Adam Rashid, Alan Yu, Kai McClennen, Gio Huh, Kevin Yang, Zhutian Yang, Qinxi Yu, Xiaolong Wang, Phillip Isola, Ge Yang

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training Ge Yan, Jiyue Zhu, Yuquan Deng, Shiqi Yang, Ri-Zhao Qiu, Xuxin Cheng, Marius Memmel, Ranjay Krishna, Ankit Goyal, Xiaolong Wang, Dieter Fox

ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation Enyu Zhao, Vedant Raval, Hejia Zhang, Jiageng Mao, Zeyu Shangguan, Stefanos Nikolaidis, Yue Wang, Daniel Seita

Mastering Multi-Drone Volleyball Through Hierarchical Co-Self-Play Reinforcement Learning Ruize Zhang, Sirui Xiang, Zelai Xu, Feng Gao, Shilong Ji, Wenhao Tang, Wenbo Ding, Chao Yu, Yu Wang

Mechanistic Interpretability for Steering Vision-Language-Action Models Bear Häon, Kaylene Caswell Stocking, Ian Chuang, Claire Tomlin

MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention Yuxin Chen, Chen Tang, Jianglan Wei, Chenran Li, Thomas Tian, Xiang Zhang, Wei Zhan, Peter Stone, Masayoshi Tomizuka

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation Abdulaziz Almuzairee, Rohan Prashant Patil, Dwait Bhatt, Henrik I Christensen

Meta-Optimization and Program Search Using Language Models for Task and Motion Planning Denis Shcherba, Eckart Cobo-Briesewitz, Cornelius V. Braun, Marc Toussaint

MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence Chao Tang, Anxing Xiao, Yuhong Deng, Tianrun Hu, Wenlong Dong, Hanbo Zhang, David Hsu, Hong Zhang

MirrorDuo: Reflection-Consistent Visuomotor Learning from Mirrored Demonstration Pairs Zheyu Zhuang, Ruiyu Wang, Giovanni Luca Marchetti, Florian T. Pokorny, Danica Kragic

Mobi-$\pi$: Mobilizing Your Robot Learning Policy Jingyun Yang, Isabella Huang, Brandon Vu, Max Bajracharya, Rika Antonova, Jeannette Bohg

Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation Zechu Li, Yufeng Jin, Daniel Ordonez-Apraez, Claudio Semini, Puze Liu, Georgia Chalvatzaki

Motion Blender Gaussian Splatting for Dynamic Reconstruction Xinyu Zhang, Haonan Chang, Yuhan Liu, Abdeslam Boularias

Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility Zewei Zhang, Chenhao Li, Takahiro Miki, Marco Hutter

MoTo: A Zero-Shot Plug-in Interaction-Aware Navigation for General Mobile Manipulation Zhenyu Wu, Angyuan Ma, Xiuwei Xu, Hang Yin, Yinan Liang, Ziwei Wang, Jiwen Lu, Haibin Yan

Multi-Critic Learning for Whole-Body End-Effector Twist Tracking Aravind Elanjimattathil Vijayan, Andrei Cramariuc, Mattia Risiglione, Christian Gehring, Marco Hutter

Multi-Loco: Unifying Multi-Embodiment Legged Locomotion via Reinforcement Learning Augmented Diffusion Shunpeng Yang, Zhen Fu, Zhefeng Cao, Guo Junde, Patrick Wensing, Wei Zhang, Hua Chen

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning Jiaqi Cheng, Mingfeng Fan, Xuefeng Zhang, Jingsong Liang, Yuhong Cao, Guohua Wu, Guillaume Adrien Sartoretti

Neural Robot Dynamics Jie Xu, Eric Heiden, Iretiayo Akinola, Dieter Fox, Miles Macklin, Yashraj Narang

NeuralSVCD for Efficient Swept Volume Collision Detection Hojin Jung, Dongwon Son, Beomjoon Kim

Non-Conflicting Energy Minimization in Reinforcement Learning Based Robot Control Skand Peri, Akhil Perincherry, Bikram Pandit, Stefan Lee

O$^3$Afford: One-Shot 3D Object-to-Object Affordance Grounding for Generalizable Robotic Manipulation Tongxuan Tian, Xuhui Kang, Yen-Ling Kuo

ObjectReact: Learning Object-Relative Control for Visual Navigation Sourav Garg, Dustin Craggs, Vineeth Bhat, Lachlan Mares, Stefan Podgorski, Madhava Krishna, Feras Dayoub, Ian Reid

Off Policy Lyapunov Stability in Reinforcement Learning Sarvan Gill, Daniela Constantinescu

Omni-Perception: Omnidirectional Collision Avoidance of Legged Robots in Dynamic Environments Zifan Wang, Teli Ma, Yufei Jia, Xun Yang, Jiaming Zhou, Wenlong Ouyang, Qiang Zhang, Junwei Liang

One Demo Is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies Chuer Pan, Litian Liang, Dominik Bauer, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Shuran Song

One View, Many Worlds: Single-Image to 3D Object Meets Generative Domain Randomization for One-Shot 6d Pose Estimation Zheng Geng, Nan Wang, Shaocong Xu, Chongjie Ye, Bohan Li, Zhaoxi Chen, Sida Peng, Hao Zhao

OPAL: Visibility-Aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion Shuhao Kang, Youqi Liao, Yan Xia, Olaf Wysocki, Boris Jutzi, Daniel Cremers

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation Suning Huang, Qianzhong Chen, Xiaohan Zhang, Jiankai Sun, Mac Schwager

Phantom: Training Robots Without Robots Using Only Human Videos Marion Lepert, Jiaying Fang, Jeannette Bohg

PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation Lihua Liu, Jiehong Lin, ZhenXin Liu, Kui Jia

Planning from Point Clouds over Continuous Actions for Multi-Object Rearrangement Kallol Saha, Amber Li, Angela Rodriguez-Izquierdo, Lifan Yu, Ben Eisner, Maxim Likhachev, David Held

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

Pointing3D: A Benchmark for 3D Object Referral via Pointing Gestures Mert Arslanoglu, Kadir Yilmaz, Cemhan Kaan Özaltan, Timm Linder, Bastian Leibe

Poke and Strike: Learning Task-Informed Exploration Policies Marina Y. Aoyama, Joao Moura, Juan Del Aguila Ferrandis, Sethu Vijayakumar

Predictive Red Teaming: Breaking Policies Without Breaking Robots Anirudha Majumdar, Mohit Sharma, Dmitry Kalashnikov, Sumeet Singh, Pierre Sermanet, Vikas Sindhwani

PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction Rishabh Madan, Jiawei Lin, Mahika Goel, Amber Li, Angchen Xie, Xiaoyu Liang, Marcus Lee, Justin Guo, Pranav N. Thakkar, Rohan Banerjee, Jose Barreiros, Kate Tsui, Tom Silver, Tapomayukh Bhattacharjee

Pseudo-Simulation for Autonomous Driving Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

QuaDreamer: Controllable Panoramic Video Generation for Quadruped Robots Sheng Wu, Fei Teng, Hao Shi, Qi Jiang, Kai Luo, Kaiwei Wang, Kailun Yang

Rapid Mismatch Estimation via Neural Network Informed Variational Inference Mateusz Jaszczuk, Nadia Figueroa

Reactive In-Air Clothing Manipulation with Confidence-Aware Dense Correspondence and Visuotactile Affordance Neha Sunil, Megha Tippur, Arnau Saumell Portillo, Edward H Adelson, Alberto Rodriguez Garcia

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

Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware Justin Yu, Letian Fu, Huang Huang, Karim El-Refai, Rares Andrei Ambrus, Richard Cheng, Muhammad Zubair Irshad, Ken Goldberg

ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-Loop Autonomous Driving Xueyi Liu, Zuodong Zhong, Qichao Zhang, Yuxin Guo, Yupeng Zheng, Junli Wang, Dongbin Zhao, Yun-Fu Liu, Zhiguo Su, Yinfeng Gao, Qiao Lin, Chen Huiyong

ReCoDe: Reinforcement Learning-Based Dynamic Constraint Design for Multi-Agent Coordination Michael Amir, Guang Yang, Zhan Gao, Keisuke Okumura, Heedo Woo, Amanda Prorok

Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation Yunhai Feng, Jiaming Han, Zhuoran Yang, Xiangyu Yue, Sergey Levine, Jianlan Luo

Residual Neural Terminal Constraint for MPC-Based Collision Avoidance in Dynamic Environments Bojan Derajic, Mohamed-Khalil Bouzidi, Sebastian Bernhard, Wolfgang Hönig

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

RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Tony Wang, Xingfang Yuan, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martín-Martín, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine

RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentation Zongzheng Zhang, Chenghao Yue, Haobo Xu, Minwen Liao, Xianglin Qi, Huan-ang Gao, Ziwei Wang, Hao Zhao

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

Robot Learning from Any Images Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas Guibas, Sergey Zakharov, Vitor Campagnolo Guizilini, Yue Wang

Robot Operating Home Appliances by Reading User Manuals Jian Zhang, Hanbo Zhang, Anxing Xiao, David Hsu

Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids Kaizhe Hu, Haochen Shi, Yao He, Weizhuo Wang, Karen Liu, Shuran Song

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models Through Closed-Loop Reinforcement Learning Liam Boyle, Nicolas Baumann, Paviththiren Sivasothilingam, Michele Magno, Luca Benini

Robust Dexterous Grasping of General Objects Hui Zhang, Zijian Wu, Linyi Huang, Sammy Christen, Jie Song

SafeBimanual: Diffusion-Based Trajectory Optimization for Safe Bimanual Manipulation Haoyuan Deng, Wenkai Guo, Qianzhun Wang, Zhenyu Wu, Ziwei Wang

SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies Nadun Ranawaka Arachchige, Zhenyang Chen, Wonsuhk Jung, Woo Chul Shin, Rohan Bansal, Pierre Barroso, Yu Hang He, Yingyan Celine Lin, Benjamin Joffe, Shreyas Kousik, Danfei Xu

Sample-Efficient Online Control Policy Learning with Real-Time Recursive Model Updates Zixin Zhang, James Avtges, Todd Murphey

Sampling-Based System Identification with Active Exploration for Legged Sim2Real Learning Nikhil Sobanbabu, Guanqi He, Tairan He, Yuxiang Yang, Guanya Shi

SAVOR: Skill Affordance Learning from Visuo-Haptic Perception for Robot-Assisted Bite Acquisition Zhanxin Wu, Bo Ai, Tom Silver, Tapomayukh Bhattacharjee

ScrewSplat: An End-to-End Method for Articulated Object Recognition Seungyeon Kim, Junsu Ha, Young Hun Kim, Yonghyeon Lee, Frank C. Park

SDS – See It, Do It, Sorted: Quadruped Skill Synthesis from Single Video Demonstration Maria Stamatopoulou, Jeffrey Li, Dimitrios Kanoulas

Search-TTA: A Multi-Modal Test-Time Adaptation Framework for Visual Search in the Wild Derek Ming Siang Tan, Shailes Shailesh, Boyang Liu, Alok Raj, Qi Xuan Ang, Weiheng Dai, Tanishq Duhan, Jimmy Chiun, Yuhong Cao, Florian Shkurti, Guillaume Adrien Sartoretti

See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation Chih Yao Hu, Yang-Sen Lin, Yuna Lee, Chih-Hai Su, Jie-Ying Lee, Shr-Ruei Tsai, Chin-Yang Lin, Kuan-Wen Chen, Tsung-Wei Ke, Yu-Lun Liu

Self-Supervised Learning of Visual Pose Estimation Without Pose Labels by Classifying LED States Nicholas Carlotti, Mirko Nava, Alessandro Giusti

Self-Supervised Perception for Tactile Skin Covered Dexterous Hands Akash Sharma, Carolina Higuera, Chaithanya Krishna Bodduluri, Zixi Liu, Taosha Fan, Tess Hellebrekers, Mike Lambeta, Byron Boots, Michael Kaess, Tingfan Wu, Francois Robert Hogan, Mustafa Mukadam

Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-Based Robustness Analysis Katherine Mao, Hongzhan Yu, Ruipeng Zhang, Igor Spasojevic, Sicun Gao, Vijay Kumar

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation Youguang Xing, Xu Luo, Junlin Xie, Lianli Gao, Heng Tao Shen, Jingkuan Song

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids Toru Lin, Kartik Sachdev, Linxi Fan, Jitendra Malik, Yuke Zhu

SimShear: Sim-to-Real Shear-Based Tactile Servoing Kipp Freud, Yijiong Lin, Nathan F. Lepora

SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps Olao Shorinwa, Jiankai Sun, Mac Schwager, Anirudha Majumdar

SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL Jiaheng Hu, Peter Stone, Roberto Martín-Martín

SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation Michael Joseph Munje, Chen Tang, Shuijing Liu, Zichao Hu, Yifeng Zhu, Jiaxun Cui, Garrett Warnell, Joydeep Biswas, Peter Stone

Steerable Scene Generation with Post Training and Inference-Time Search Nicholas Ezra Pfaff, Hongkai Dai, Sergey Zakharov, Shun Iwase, Russ Tedrake

Steering Your Diffusion Policy with Latent Space Reinforcement Learning Andrew Wagenmaker, Yunchu Zhang, Mitsuhiko Nakamoto, Seohong Park, Waleed Yagoub, Anusha Nagabandi, Abhishek Gupta, Sergey Levine

Streaming Flow Policy: Simplifying Diffusion/flow-Matching Policies by Treating Action Trajectories as Flow Trajectories Sunshine Jiang, Xiaolin Fang, Nicholas Roy, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Siddharth Ancha

Subteaming and Adaptive Formation Control for Coordinated Multi-Robot Navigation Zihao Deng, Peng Gao, Williard Joshua Jose, Maggie Wigness, John G. Rogers Iii, Brian Reily, Christopher M. Reardon, Hao Zhang

Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation Carolina Higuera, Akash Sharma, Taosha Fan, Chaithanya Krishna Bodduluri, Byron Boots, Michael Kaess, Mike Lambeta, Tingfan Wu, Zixi Liu, Francois Robert Hogan, Mustafa Mukadam

Text2Touch: Tactile In-Hand Manipulation with LLM-Designed Reward Functions Harrison Field, Max Yang, Yijiong Lin, Efi Psomopoulou, David A.W. Barton, Nathan F. Lepora

The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio Renhao Wang, Haoran Geng, Tingle Li, Philipp Wu, Feishi Wang, Gopala Anumanchipalli, Trevor Darrell, Boyi Li, Pieter Abbeel, Jitendra Malik, Alexei A Efros

ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation Haochen Shi, Weizhuo Wang, Shuran Song, Karen Liu

Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use Haonan Chen, Cheng Zhu, Shuijing Liu, Yunzhu Li, Katherine Rose Driggs-Campbell

TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies Liquan Wang, Jiangjie Bian, Eric Heiden, Animesh Garg

Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams Zhi Su, Yuman Gao, Emily Lukas, Yunfei Li, Jiaze Cai, Faris Talubah, Fei Gao, Chao Yu, Zhongyu Li, Yi Wu, Koushil Sreenath

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

Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling Jianpeng Yao, Xiaopan Zhang, Yu Xia, Zejin Wang, Amit Roy-Chowdhury, Jiachen Li

TrackVLA: Embodied Visual Tracking in the Wild Shaoan Wang, Jiazhao Zhang, Minghan Li, Jiahang Liu, Anqi Li, Kui Wu, Fangwei Zhong, Junzhi Yu, Zhizheng Zhang, He Wang

Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees Yaniv Hassidof, Tom Jurgenson, Kiril Solovey

Training Strategies for Efficient Embodied Reasoning William Chen, Suneel Belkhale, Suvir Mirchandani, Karl Pertsch, Danny Driess, Oier Mees, Sergey Levine

TReF-6: Inferring Task-Relevant Frames from a Single Demonstration for One-Shot Skill Generalization Yuxuan Ding, Shuangge Wang, Tesca Fitzgerald

TWIST: Teleoperated Whole-Body Imitation System Yanjie Ze, Zixuan Chen, Joao Pedro Araujo, Zi-ang Cao, Xue Bin Peng, Jiajun Wu, Karen Liu

TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types Yuhao Lin, Yi-Lin Wei, Haoran Liao, Mu Lin, Chengyi Xing, Hao Li, Dandan Zhang, Mark Cutkosky, Wei-Shi Zheng

Uncertainty-Aware Accurate Elevation Modeling for Off-Road Navigation via Neural Processes Sanghun Jung, Daehoon Gwak, Byron Boots, James Hays

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

Uncertainty-Aware Scene Understanding via Efficient Sampling-Free Confidence Estimation Hanieh Shojaei Miandashti, Qianqian Zou, Claus Brenner

UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations Hanjung Kim, Jaehyun Kang, Hyolim Kang, Meedeum Cho, Seon Joo Kim, Youngwoon Lee

UniTac2Pose: A Unified Approach Learned in Simulation for Category-Level Visuotactile In-Hand Pose Estimation Mingdong Wu, Long Yang, Jin Liu, Weiyao Huang, Lehong Wu, Zelin Chen, Daolin Ma, Hao Dong

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation Zhaodong Jiang, Ashish Sinha, Tongtong Cao, Yuan Ren, Bingbing Liu, Binbin Xu

Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion Seungeun Rho, Kartik Garg, Morgan Byrd, Sehoon Ha

Versatile Loco-Manipulation Through Flexible Interlimb Coordination Xinghao Zhu, Yuxin Chen, Lingfeng Sun, Farzad Niroui, Simon Le Cleac’h, Jiuguang Wang, Kuan Fang

Vision in Action: Learning Active Perception from Human Demonstrations Haoyu Xiong, Xiaomeng Xu, Jimmy Wu, Yifan Hou, Jeannette Bohg, Shuran Song

Visual Imitation Enables Contextual Humanoid Control Arthur Allshire, Hongsuk Choi, Junyi Zhang, David McAllister, Anthony Zhang, Chung Min Kim, Trevor Darrell, Pieter Abbeel, Jitendra Malik, Angjoo Kanazawa

VLM-AD: End-to-End Autonomous Driving Through Vision-Language Model Supervision Yi Xu, Yuxin Hu, Zaiwei Zhang, Gregory P. Meyer, Siva Karthik Mustikovela, Siddhartha Srinivasa, Eric M. Wolff, Xin Huang

VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning Binghao Huang, Jie Xu, Iretiayo Akinola, Wei Yang, Balakumar Sundaralingam, Rowland O’Flaherty, Dieter Fox, Xiaolong Wang, Arsalan Mousavian, Yu-Wei Chao, Yunzhu Li

Wheeled Lab: Modern Sim2Real for Low-Cost, Open-Source Wheeled Robotics Tyler Han, Preet Shah, Sidharth Rajagopal, Yanda Bao, Sanghun Jung, Sidharth Talia, Gabriel Guo, Bryan Xu, Bhaumik Mehta, Emma Romig, Rosario Scalise, Byron Boots

WoMAP: World Models for Embodied Open-Vocabulary Object Localization Tenny Yin, Zhiting Mei, Tao Sun, Ola Sho, Anirudha Majumdar, Emily Zhou, Jeremy Bao, Miyu Yamane, Lihan Zha

X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real Prithwish Dan, Kushal Kedia, Angela Chao, Edward Duan, Maximus Adrian Pace, Wei-Chiu Ma, Sanjiban Choudhury

ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning Rahel Rickenbach, Alan Lahoud, Erik Schaffernicht, Melanie Zeilinger, Johannes A. Stork