The overview of the conference program is available [here]. Please refer to the conference program for additional information. Check the list of paper sessions [here].
ID | Session | Title | Authors |
---|---|---|---|
1 | Perception and Navigation | Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation | Pascal Roth, Jonas Frey, Cesar Cadena, Marco Hutter |
2 | Perception and Navigation | Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid | Parv Kapoor, Ian Higgins, Nikhil Varma Keetha, Jay Patrikar, Brady Moon, Zelin Ye, Yao He, Ivan Cisneros, Changliu Liu, Eunsuk Kang, Sebastian Scherer |
3 | Perception and Navigation | Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving | Bernard Lange, Masha Itkina, Jiachen Li, Mykel Kochenderfer |
4 | Perception and Navigation | MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction | Yulun Tian, Hanwen Cao, Sunghwan Kim, Nikolay Atanasov |
5 | Perception and Navigation | Doppler Correspondence: Non-Iterative Scan Matching With Doppler Velocity-Based Correspondence | Jiwoo Kim, Geunsik Bae, Changseung Kim, Jinwoo Lee, Woojae Shin, Hyondong Oh |
6 | Perception and Navigation | DRO: Doppler-Aware Direct Radar Odometry with Gyroscope | Cedric Le Gentil, Leonardo Brizi, Daniil Lisus, Xinyuan Qiao, Giorgio Grisetti, Timothy Barfoot |
7 | Perception and Navigation | Certifiably-Correct Mapping for Safe Navigation Despite Odometry Drift | Devansh R. Agrawal, Rajiv Govindjee, Taekyung Kim, Trushant Adeshara, Jiangbo Yu, Anurekha Ravikumar, Dimitra Panagou |
8 | Perception and Navigation | Kinodynamic Trajectory Following with STELA: Simultaneous Trajectory Estimation & Local Adaptation | Edgar Granados, Sumanth Tangirala, Kostas Bekris |
9 | Perception and Navigation | Debiasing 6-DOF IMU via Hierarchical Learning of Continuous Bias Dynamics | Ben Liu, Tzu-Yuan Lin, Wei Zhang, Maani Ghaffari |
10 | VLA Models | π₀: A Vision-Language-Action Flow Model for General Robot Control | Kevin Black, Noah Brown, Danny Driess, Adnan Esmail, Michael Robert Equi, Chelsea Finn, Niccolo Fusai, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Lucy Xiaoyang Shi, |
11 | VLA Models | SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Models | Delin Qu, Haoming Song, Qizhi Chen, Yuanqi Yao, Xinyi Ye, Jiayuan Gu, Zhigang Wang, Yan Ding, Bin Zhao, Dong Wang, Xuelong Li |
12 | VLA Models | FAST: Efficient Action Tokenization for Vision-Language-Action Models | Karl Pertsch, Kyle Stachowicz, Brian Ichter, Danny Driess, Suraj Nair, Quan Vuong, Oier Mees, Chelsea Finn, Sergey Levine |
13 | VLA Models | Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks | Jiazhao Zhang, Kunyu Wang, Shaoan Wang, Minghan Li, Haoran Liu, Songlin Wei, Zhongyuan Wang, Zhizheng Zhang, He Wang |
14 | VLA Models | Learning to Act Anywhere with Task-centric Latent Actions | Qingwen Bu, Yanting Yang, Jisong Cai, Shenyuan Gao, Guanghui Ren, Maoqing Yao, Ping Luo, Hongyang Li |
15 | VLA Models | Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets | Chuning Zhu, Raymond Yu, Siyuan Feng, Benjamin Burchfiel, Paarth Shah, Abhishek Gupta |
16 | VLA Models | CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision | Gi-Cheon Kang, Junghyun Kim, Kyuhwan Shim, Jun Ki Lee, Byoung-Tak Zhang |
17 | VLA Models | Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success | Moo Jin Kim, Chelsea Finn, Percy Liang |
18 | VLA Models | NaVILA: Legged Robot Vision-Language-Action Model for Navigation | An-Chieh Cheng, Yandong Ji, Zhaojing Yang, Zaitian Gongye, Xueyan Zou, Jan Kautz, Erdem Biyik, Hongxu Yin, Sifei Liu, Xiaolong Wang |
19 | VLA Models | ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy | Yuhui Chen, Shuai Tian, Shugao Liu, Yingting Zhou, Haoran Li, Dongbin Zhao |
20 | Scaling Robot Learning | Demonstrating MuJoCo Playground | Kevin Zakka, Baruch Tabanpour, Qiayuan Liao, Mustafa Haiderbhai, Samuel Holt, Jing Yuan Luo, Arthur Allshire, Erik Frey, Koushil Sreenath, Lueder Alexander Kahrs, Carmelo Sferrazza, Yuval Tassa, Pieter Abbeel |
21 | Scaling Robot Learning | Demonstrating GPU Parallelized Robot Simulation and Rendering for Generalizable Embodied AI with ManiSkill3 | Stone Tao, Fanbo Xiang, Arth Shukla, Yuzhe Qin, Xander Hinrichsen, Xiaodi Yuan, Chen Bao, Xinsong Lin, Yulin Liu, Tse-Kai Chan, Yuan Gao, Xuanlin Li, Tongzhou Mu, Nan Xiao, Arnav Gurha, Viswesh N., Yong Woo Choi, Yen-Ru Chen, Zhiao Huang, Roberto |
22 | Scaling Robot Learning | RoboVerse: A Unified Platform, Benchmark and Dataset for Scalable and Generalizable Robot Learning | Haoran Geng, Feishi Wang, Songlin Wei, Yuyang Li, Bangjun Wang, Boshi An, Haozhe Lou, Charlie Tianyue Cheng, Peihao Li, Haozhe Chen, Yutong Liang, Yuxi Qian, Jiageng Mao, Weikang Wan, Yiran Geng, Mingtong Zhang, Jiangran Lyu, Siheng Zhao, Jiazhao Zhang, Chaoyi |
23 | Scaling Robot Learning | Robot Data Curation with Mutual Information Estimators | Joey Hejna, Suvir Mirchandani, Ashwin Balakrishna, Annie Xie, Ayzaan Wahid, Jonathan Tompson, Pannag R. Sanketi, Dhruv Shah, Coline Manon Devin, Dorsa Sadigh |
24 | Scaling Robot Learning | Coherance-based Approximate Derivatives via Web of Affine Spaces Optimization | Daniel Rakita, Chen Liang, Qian Wang |
25 | Scaling Robot Learning | Robot Learning with Super-Linear Scaling | Marcel Torne Villasevil, Arhan Jain, Jiayi Yuan, Vidyaaranya Macha, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Abhishek Gupta |
26 | Scaling Robot Learning | Action Flow Matching for Lifelong Learning | Alejandro Murillo-González, Lantao Liu |
27 | Scaling Robot Learning | Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL | Songyuan Zhang, Oswin So, Mitchell Black, Zachary Serlin, Chuchu Fan |
28 | Scaling Robot Learning | RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning | Charles Xu, Qiyang Li, Jianlan Luo, Sergey Levine |
29 | Perception | ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization | Mason Peterson, Yixuan Jia, Yulun Tian, Annika Thomas, Jonathan P. How |
30 | Perception | GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction | Yuhan Xie, Yixi Cai, Yinqiang Zhang, Lei Yang, Jia Pan |
31 | Perception | LiDAR Registration with Visual Foundation Models | Niclas Vödisch, Giovanni Cioffi, Marco Cannici, Wolfram Burgard, Davide Scaramuzza |
32 | Perception | Building Rome with Convex Optimization | Haoyu Han, Heng Yang |
33 | Perception | Demonstrating MOSART: Opening Articulated Structures in the Real World | Arjun Gupta, Michelle Zhang, Rishik Sathua, Saurabh Gupta |
34 | Perception | Vysics: Object Reconstruction Under Occlusion by Fusing Vision and Contact-Rich Physics | Bibit Bianchini, Minghan Zhu, Mengti Sun, Bowen Jiang, Camillo Jose Taylor, Michael Posa |
35 | Perception | Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations | Jeongho Ha, Minseok Song, Bonggyeong Park, Daehyung Park |
36 | Perception | Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videos | Kaifeng Zhang, Baoyu Li, Kris Hauser, Yunzhu Li |
37 | Perception | V-HOP: Visuo-Haptic 6D Object Pose Tracking | Hongyu Li, Mingxi Jia, Mete Tuluhan Akbulut, Yu Xiang, George Konidaris, Srinath Sridhar |
38 | Perception | Joint State and Noise Covariance Estimation | Kasra Khosoussi, Iman Shames |
39 | Perception | Map Space Belief Prediction for Manipulation-Enhanced Mapping | Joao Marcos Correia Marques, Nils Dengler, Jesper Mücke, Tobias Zaenker, Shenlong Wang, Maren Bennewitz, Kris Hauser |
40 | Perception | PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map | Yue Pan, Xingguang Zhong, Liren Jin, Louis Wiesmann, Marija Popovic, Jens Behley, Cyrill Stachniss |
41 | Perception | RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping | Hongrui Zhao, Boris Ivanovic, Negar Mehr |
42 | Perception | RoboPanoptes: The All-Seeing Robot with Whole-body Dexterity | Xiaomeng Xu, Dominik Bauer, Shuran Song |
43 | Planning | Bilevel Learning for Bilevel Planning | Bowen Li, Tom Silver, Sebastian Scherer, Alexander G. Gray |
44 | Planning | A Biconvex Method for Minimum-Time Motion Planning Through Sequences of Convex Sets | Tobia Marcucci, Mathew Halm, William Yang, Dongchan Lee, Andrew Marchese |
45 | Planning | Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning | Peter Werner, Richard Cheng, Tom Stewart, Russ Tedrake, Daniela Rus |
46 | Planning | Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations | Shucheng Kang, Guorui Liu, Heng Yang |
47 | Planning | On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning | Yulin Li, Haoyu Han, Shucheng Kang, Jun Ma, Heng Yang |
48 | Planning | Effective Sampling for Robot Motion Planning Through the Lens of Lattices | Itai Panasoff, Kiril Solovey |
49 | Planning | Efficient Hierarchical Any-Angle Path Planning on Multi-Resolution 3D Grids | Victor Reijgwart, Cesar Cadena, Roland Siegwart, Lionel Ott |
50 | Planning | Differentiable GPU-Parallelized Task and Motion Planning | William Shen, Caelan Reed Garrett, Nishanth Kumar, Ankit Goyal, Tucker Hermans, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Fabio Ramos |
51 | Planning | Flow Matching Ergodic Coverage | Max Muchen Sun, Allison Pinosky, Todd Murphey |
52 | Manipulation I | Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation | Han Xue, Jieji Ren, Wendi Chen, Gu Zhang, Fang Yuan, Guoying Gu, Huazhe Xu, Cewu Lu |
53 | Manipulation I | Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization | Lujie Yang, H.j. Terry Suh, Tong Zhao, Bernhard Paus Graesdal, Tarik Kelestemur, Jiuguang Wang, Tao Pang, Russ Tedrake |
54 | Manipulation I | ViTaSCOPE: Visuo-tactile Implicit Representation for In-hand Pose and Extrinsic Contact Estimation | Jayjun Lee, Nima Fazeli |
55 | Manipulation I | Design of a low-cost and lightweight 6 DoF bimanual arm for dynamic and contact-rich manipulation | Jaehyung Kim, Jiho Kim, Dongryung Lee, Yujin Jang, Beomjoon Kim |
56 | Manipulation I | PP-Tac: Paper Picking Using Omnidirectional Tactile Feedback in Dexterous Robotic Hands | Pei Lin, Yuzhe Huang, Jianpeng Ma, Chenxi Xiao, Wanlin Li, Ziyuan Jiao |
57 | Manipulation I | GeoDEx: A Unified Geometric Framework for Tactile Dexterous and Extrinsic Manipulation under Force Uncertainty | Sirui Chen, Sergio Francisco Aguilera Marinovic, Soshi Iba, Rana Soltani Zarrin |
58 | Manipulation I | Demonstrating the Octopi-1.5 Visual-Tactile-Language Model | Samson Yu, Lin Kelvin, Harold Soh |
59 | Manipulation I | Demonstrating REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly | Daniel Sliwowski, Shail Jadav, Sergej Stanovcic, Jędrzej Orbik, Johannes Heidersberger, Dongheui Lee |
60 | Manipulation I | Robust Peg-in-Hole Assembly under Uncertainties via Compliant and Interactive Contact-Rich Manipulation | Yiting Chen, Kenneth Kimble, Howard H. Qian, Podshara Chanrungmaneekul, Robert Seney, Kaiyu Hang |
61 | Humanoids | AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control | Jialong Li, Xuxin Cheng, Tianshu Huang, Shiqi Yang, Ri-Zhao Qiu, Xiaolong Wang |
62 | Humanoids | Demonstrating Berkeley Humanoid Lite: An Open-source, Accessible, and Customizable 3D-printed Humanoid Robot | Yufeng Chi, Qiayuan Liao, Junfeng Long, Xiaoyu Huang, Sophia Shao, Borivoje Nikolic, Zhongyu Li, Koushil Sreenath |
63 | Humanoids | Learning Getting-Up Policies for Real-World Humanoid Robots | Xialin He, Runpei Dong, Zixuan Chen, Saurabh Gupta |
64 | Humanoids | Learning Humanoid Standing-up Control across Diverse Postures | Tao Huang, Junli Ren, Huayi Wang, Zirui Wang, Qingwei Ben, Muning Wen, Xiao Chen, Jianan Li, Jiangmiao Pang |
65 | Humanoids | LangWBC: Language-directed Humanoid Whole-Body Control via End-to-end Learning | Yiyang Shao, Bike Zhang, Qiayuan Liao, Xiaoyu Huang, Yuman Gao, Yufeng Chi, Zhongyu Li, Sophia Shao, Koushil Sreenath |
66 | Humanoids | ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills | Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbabu, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica K. Hodgins, Linxi Fan, Yuke Zhu, Changliu Liu, Guanya Shi |
67 | Humanoids | A Unified and General Humanoid Whole-Body Controller for Fine-Grained Locomotion | Yufei Xue, Wentao Dong, Minghuan Liu, Weinan Zhang, Jiangmiao Pang |
68 | Humanoids | BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds | Huayi Wang, Zirui Wang, Junli Ren, Qingwei Ben, Tao Huang, Weinan Zhang, Jiangmiao Pang |
69 | Humanoids | Gait-Net-augmented Implicit Kino-dynamic MPC for Dynamic Variable-frequency Humanoid Locomotion over Discrete Terrains | Junheng Li, Ziwei Duan, Junchao Ma, Quan Nguyen |
70 | Humanoids | HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit | Qingwei Ben, Feiyu Jia, Jia Zeng, Junting Dong, Dahua Lin, Jiangmiao Pang |
71 | Imitation Learning I | Curating Demonstrations using Online Experience | Annie S. Chen, Alec M. Lessing, Yuejiang Liu, Chelsea Finn |
72 | Imitation Learning I | CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity | Guang Yin, Yitong Li, Yixuan Wang, Dale Mcconachie, Paarth Shah, Kunimatsu Hashimoto, Huan Zhang, Katherine Liu, Yunzhu Li |
73 | Imitation Learning I | Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies | Chen Xu, Tony Khuong Nguyen, Emma Dixon, Christopher Rodriguez, Patrick Miller, Robert Lee, Paarth Shah, Rares Andrei Ambrus, Haruki Nishimura, Masha Itkina |
74 | Imitation Learning I | Unified Video Action Model | Shuang Li, Yihuai Gao, Dorsa Sadigh, Shuran Song |
75 | Imitation Learning I | DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies | Tony Tao, Mohan Kumar Srirama, Jason Jingzhou Liu, Kenneth Shaw, Deepak Pathak |
76 | Imitation Learning I | From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment | Yilin Wu, Thomas Tian, Gokul Swamy, Andrea Bajcsy |
77 | Imitation Learning I | Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping | David Snyder, Asher James Hancock, Apurva Badithela, Emma Dixon, Patrick Miller, Rares Andrei Ambrus, Anirudha Majumdar, Masha Itkina, Haruki Nishimura |
78 | Imitation Learning I | DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories | Jean-Baptiste Bouvier, Kanghyun Ryu, Qiayuan Liao, Koushil Sreenath, Negar Mehr |
79 | Imitation Learning I | FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning | Jason Jingzhou Liu, Yulong Li, Kenneth Shaw, Tony Tao, Russ Salakhutdinov, Deepak Pathak |
80 | HRI | Morpheus: A Neural-driven Animatronic Face with Hybrid Actuation and Diverse Emotion Control | Zongzheng Zhang, Jiawen Yang, Ziqiao Peng, Meng Yang, Jianzhu Ma, Lin Cheng, Huazhe Xu, Hang Zhao, Hao Zhao |
81 | HRI | Interface-level Intent Inference for Environment-agnostic Robot Teleoperation Assistance | Larisa Y.c. Loke, Brenna Argall |
82 | HRI | Sense and Sensibility: What makes an social robot convincing to high-school students? | Pablo Gonzalez-Oliveras, Olov Engwall, Ali Reza Majlesi |
83 | HRI | FEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization | Rajat Kumar Jenamani, Tom Silver, Ben Dodson, Shiqin Tong, Anthony Song, Yuting Yang, Ziang Liu, Benjamin Howe, Aimee Whitneck, Tapomayukh Bhattacharjee |
84 | HRI | Demonstrating a Control Framework for Physical Human-Robot Interaction Toward Industrial Applications | Bastien Muraccioli, Mathieu Celerier, Mehdi Benallegue, Gentiane Venture |
85 | HRI | Users and Wizards in Conversations: How WoZ Interface Choices Define Human-Robot Interactions | Ekaterina Torubarova, Jura Miniotaite, Andre Pereira |
86 | HRI | Demonstrating Shared Force-Language Embeddings for Natural Human-Robot Communication | Ravi Tejwani, Karl Angel Velazquez, John Payne, Paolo Bonato, Haruhiko Asada |
87 | HRI | Optimal Interactive Learning on the Job via Facility Location Planning | Shivam Vats, Michelle D. Zhao, Patrick Callaghan, Mingxi Jia, Maxim Likhachev, Oliver Kroemer, George Konidaris |
88 | HRI | A Robot-Assisted Approach to Small Talk Training for Adults with ASD | Rebecca Ramnauth, Dražen Brščić, Brian Scassellati |
89 | HRI | Interruption Handling for Conversational Robots | Shiye Cao, Jiwon Moon, Amama Mahmood, Victor Nikhil Antony, Ziang Xiao, Anqi Liu, Chien-Ming Huang |
90 | HRI | ASTRID: A Robotic Tutor for Nurse Training to Reduce Healthcare-Associated Infections | Peizhu Qian, Filip Bajraktari, Carlos Quintero-Pena, Qingxi Meng, Shannan Hamlin, Lydia E. Kavraki, Vaibhav V. Unhelkar |
91 | HRI | Towards Uncertainty Unification: A Case Study for Preference Learning | Shaoting Peng, Haonan Chen, Katherine Rose Driggs-Campbell |
92 | HRI | Demonstrating Arena 5.0: A Photorealistic ROS2 Simulation Framework for Developing and Benchmarking Social Navigation | Linh Kästner, Volodymyr Shcherbyna, Harold Soh, Giang Nguyen Huu Truong, Do Duc Anh, Ton Manh Kien, Tim Seeger, Ahmed Martban, Vu Thanh Lam, Nguyen Quoc Hung, Pham Thai Hoang Tung, Tran Dang An, Eva Wiese, Maximilian Ho-Kyoung Schreff |
93 | HRI | Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports | Donggeon David Oh, Justin Lidard, Haimin Hu, Himani Sinhmar, Elle Lazarski, Deepak Edakkattil Gopinath, Emily Sumner, Jonathan Decastro, Guy Rosman, Naomi Leonard, Jaime Fernández Fisac |
94 | Multi-Robot Systems | Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety | Jasmine Jerry Aloor, Jason Jangho Choi, Jingqi Li, Maria G. Mendoza, Hamsa Balakrishnan, Claire Tomlin |
95 | Multi-Robot Systems | FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection | Yiming Luo, Yunfei Wang, Hongming Chen, Chengkai Wu, Ximin Lyu, Jinni Zhou, Jun Ma, Fu Zhang, Boyu Zhou |
96 | Multi-Robot Systems | Online Competitive Information Gathering for Partially Observable Trajectory Games | Mel Krusniak, Hang Xu, Forrest John Laine |
97 | Multi-Robot Systems | Collaborative Object Transportation in Space via Impact Interactions | Joris Verhagen, Jana Tumova |
98 | Multi-Robot Systems | APEX-MR: Multi-Robot Asynchronous Planning and Execution for Cooperative Assembly | Philip Huang, Ruixuan Liu, Shobhit Aggarwal, Changliu Liu, Jiaoyang Li |
99 | Multi-Robot Systems | Hierarchical Temporal Logic Task and Motion Planning for Multi-Robot Systems | Zhongqi Wei, Xusheng Luo, Changliu Liu |
100 | Multi-Robot Systems | A Probabilistic Measure of Multi-Robot Connectivity and Ergodic Optimal Control | Yongce Liu, Zhongqiang Ren |
101 | Multi-Robot Systems | How to Coordinate UAVs and UGVs for Efficient Mission Planning? Optimizing Energy-Constrained Cooperative Routing with a DRL Framework | Mohammad Safwan Mondal, Subramanian Ramasamy, Pranav Bhounsule |
102 | Multi-Robot Systems | Influence of Static and Dynamic Downwash Interactions on Multi-Quadrotor Systems | Anoop Kiran, Nora Ayanian, Kenneth Breuer |
103 | Manipulation II | DexterityGen: Foundation Controller for Unprecedented Dexterity | Zhao-Heng Yin, Changhao Wang, Luis Pineda, Francois Robert Hogan, Chaithanya Krishna Bodduluri, Akash Sharma, Patrick Lancaster, Ishita Prasad, Mrinal Kalakrishnan, Jitendra Malik, Mike Lambeta, Tingfan Wu, Pieter Abbeel, Mustafa Mukadam |
104 | Manipulation II | DOGlove: Dexterous Manipulation with a Low-Cost Open-Source Haptic Force Feedback Glove | Han Zhang, Songbo Hu, Zhecheng Yuan, Huazhe Xu |
105 | Manipulation II | Dexonomy: Synthesizing All Dexterous Grasp Types in a Grasp Taxonomy | Jiayi Chen, Yubin Ke, Lin Peng, He Wang |
106 | Manipulation II | Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation | Jianglong Ye, Keyi Wang, Chengjing Yuan, Ruihan Yang, Yiquan Li, Jiyue Zhu, Yuzhe Qin, Xueyan Zou, Xiaolong Wang |
107 | Manipulation II | Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success | Che Wang, Jeroen Vanbaar, Chaitanya Mitash, Shuai Li, Dylan Randle, Weiyao Wang, Sumedh Anand Sontakke, Kostas Bekris, Kapil Katyal |
108 | Manipulation II | Vib2Move: In-hand Object Reconfiguration via Fingertip Micro-vibrations | Xili Yi, Nima Fazeli |
109 | Manipulation II | Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation | Abhiram Maddukuri, Zhenyu Jiang, Lawrence Yunliang Chen, Soroush Nasiriany, Yuqi Xie, Yu Fang, Wenqi Huang, Zu Wang, Zhenjia Xu, Nikita Chernyadev, Scott Reed, Ken Goldberg, Ajay Mandlekar, Linxi Fan, Yuke Zhu |
110 | Manipulation II | CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World | Yankai Fu, Ning Chen, Qiuxuan Feng, Zichen Zhou, Mengzhen Liu, Mingdong Wu, Tianxing Chen, Shanyu Rong, Jiaming Liu, Hao Dong, Shanghang Zhang |
111 | Manipulation II | Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation | Wanxin Jin |
112 | Control and Dynamics | Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions | Ji Yin, Oswin So, Eric Yang Yu, Chuchu Fan, Panagiotis Tsiotras |
113 | Control and Dynamics | Dynamic Safety in Complex Environments: Synthesizing Safety Filters with Poisson’s Equation | Gilbert Bahati, Ryan M. Bena, Aaron Ames |
114 | Control and Dynamics | Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis | Zeyuan Feng, Le Qiu, Somil Bansal |
115 | Control and Dynamics | Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey | Julius Jankowski, Ante Marić, Puze Liu, Davide Tateo, Jan Peters, Sylvain Calinon |
116 | Control and Dynamics | Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking | Pratik Kunapuli, Jake Welde, Dinesh Jayaraman, Vijay Kumar |
117 | Control and Dynamics | A Generic Continuous Multi-Joint Spinal Robotic System for Agile and Accurate Behaviors with GNN-MPC method | Ying Wu, Zida Zhou, Renmingliu, Lanxiang Zheng, Hui Cheng |
118 | Control and Dynamics | Behavior Synthesis via Contact-Aware Fisher Information Maximization | Hrishikesh Sathyanarayan, Ian Abraham |
119 | Control and Dynamics | Geometric Gait Optimization for Kinodynamic Systems Using a Lie Group Integrator | Yanhao Yang, Ross Hatton |
120 | Control and Dynamics | Riemannian Direct Trajectory Optimization of Rigid Bodies on Matrix Lie Groups | Sangli Teng, Tzu-Yuan Lin, William A. Clark, Ram Vasudevan, Maani Ghaffari |
121 | Control and Dynamics | Provably-Safe, Online System Identification | Bohao Zhang, Zichang Zhou, Ram Vasudevan |
122 | Mobile Manipulation and Locomotion | Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining | Yaru Niu, Yunzhe Zhang, Mingyang Yu, Changyi Lin, Chenhao Li, Yikai Wang, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Zhenzhen Li, Jonathan Francis, Bingqing Chen, Jie Tan, Ding Zhao |
123 | Mobile Manipulation and Locomotion | Gain Tuning Is Not What You Need: Reward Gain Adaptation for Constrained Locomotion Learning | Arthicha Srisuchinnawong, Poramate Manoonpong |
124 | Mobile Manipulation and Locomotion | SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning | Li Peizhuo, Hongyi Li, Ge Sun, Jin Cheng, Xinrong Yang, Guillaume Bellegarda, Milad Shafiee Ashtiani, Yuhong Cao, Auke Ijspeert, Guillaume Adrien Sartoretti |
125 | Mobile Manipulation and Locomotion | Bridging the Sim-to-Real Gap for Athletic Loco-Manipulation | Nolan Fey, Gabriel B. Margolis, Martin Peticco, Pulkit Agrawal |
126 | Mobile Manipulation and Locomotion | Adaptive Locomotion on Mud through Proprioceptive Sensing of Substrate Properties | Shipeng Liu, Jiaze Tang, Siyuan Meng, Feifei Qian |
127 | Mobile Manipulation and Locomotion | Discrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding | Hang Liu, Sangli Teng, Ben Liu, Wei Zhang, Maani Ghaffari |
128 | Mobile Manipulation and Locomotion | SafeMimic: Towards Safe and Autonomous Human-to-Robot Imitation for Mobile Manipulation | Arpit Bahety, Arnav Balaji, Ben Abbatematteo, Roberto Martín-Martín |
129 | Mobile Manipulation and Locomotion | DVS: Dynamic Virtual-Real Simulation Platform for Mobile Robotic Tasks | Zijie Zheng, Zeshun Li, Yunpeng Wang, Qinghongbing Xie, Long Zeng |
130 | Mobile Manipulation and Locomotion | Flying Hand: End-Effector-Centric Framework for Versatile Aerial Manipulation Teleoperation and Policy Learning | Guanqi He, Xiaofeng Guo, Luyi Tang, Yuanhang Zhang, Mohammadreza Mousaei, Jiahe Xu, Junyi Geng, Sebastian Scherer, Guanya Shi |
131 | Robot Design | RUKA: Rethinking the Design of Humanoid Hands with Learning | Anya Zorin, Irmak Guzey, Nikhil X. Bhattasali, Lerrel Pinto |
132 | Robot Design | Demonstrating LEAP Hand V3: Low-Cost, Easy-to-Assemble, High-Performance Hand for Robot Learning | Kenneth Shaw, Deepak Pathak |
133 | Robot Design | Tactile sensing enables vertical obstacle negotiation for elongate many-legged robots | Juntao He, Baxi Chong, Massimiliano Iaschi, Vincent R. Nienhusser, Sehoon Ha, Daniel Goldman |
134 | Robot Design | Boxi: Design Decisions in the Context of Algorithmic Performance for Robotics | Jonas Frey, Turcan Tuna, Lanke Frank Tarimo Fu, Cedric Weibel, Katharine Patterson, Benjamin Krummenacher, Matthias Müller, Julian Nubert, Maurice Fallon, Cesar Cadena, Marco Hutter |
135 | Robot Design | emg2tendon: From sEMG Signals to Tendon Control in Musculoskeletal Hands | Sagar Verma |
136 | Navigation | CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance | Arthur Zhang, Harshit Sikchi, Joydeep Biswas, Amy Zhang |
137 | Navigation | Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis | Kensuke Nakamura, Lasse Peters, Andrea Bajcsy |
138 | Navigation | Verti-Bench: A General and Scalable Off-Road Mobility Benchmark for Vertically Challenging Terrain | Tong Xu, Chenhui Pan, Madhan B. Rao, Aniket Datar, Anuj Pokhrel, Yuanjie Lu, Xuesu Xiao |
139 | Navigation | Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving | Jacob Levy, Jason Gibson, Bogdan Vlahov, Erica Tevere, Evangelos Theodorou, David Fridovich-Keil, Patrick Spieler |
140 | Navigation | Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models | Nicolas Baumann, Cheng Hu, Paviththiren Sivasothilingam, Haotong Qin, Lei Xie, Michele Magno, Luca Benini |
141 | Navigation | Demonstrating CavePI: Autonomous Exploration of Underwater Caves by Semantic Guidance | Alankrit Gupta, Adnan Abdullah, Xianyao Li, Vaishnav Ramesh, Ioannis Rekleitis, Md Jahidul Islam |
142 | Navigation | RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation | Minwoo Kim, Geunsik Bae, Jinwoo Lee, Woojae Shin, Changseung Kim, Myongyol Choi, Heejung Shin, Hyongdong Oh |
143 | Navigation | Neural Inertial Odometry from Lie Events | Royina Karegoudra Jayanth, Yinshuang Xu, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig |
144 | Navigation | Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification | Kumar Manas, Christian Schlauch, Adrian Paschke, Christian Wirth, Nadja Klein |
145 | Manipulation III | Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins | Chuanruo Ning, Kuan Fang, Wei-Chiu Ma |
146 | Manipulation III | Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation | Sizhe Yang, Wenye Yu, Jia Zeng, Jun Lv, Kerui Ren, Cewu Lu, Dahua Lin, Jiangmiao Pang |
147 | Manipulation III | STDArm: Transfer Visuomotor Policy From Static Data Training to Dynamic Robot Manipulation | Yifan Duan, Heng Li, Yilong Wu, Wenhao Yu, Xinran Zhang, Yedong Shen, Jianmin Ji, Yanyong Zhang |
148 | Manipulation III | PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation | Yifan Yin, Zhengtao Han, Shivam Aarya, Shuhang Xu, Jianxin Wang, Jiawei Peng, Angtian Wang, Alan Yuille, Tianmin Shu |
149 | Manipulation III | You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations | Huayi Zhou, Ruixiang Wang, Yunxin Tai, Yueci Deng, Guiliang Liu, Kui Jia |
150 | Manipulation III | Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models | Chenrui Tie, Shengxiang Sun, Jinxuan Zhu, Yiwei Liu, Jingxiang Guo, Yue Hu, Haonan Chen, Junting Chen, Ruihai Wu, Lin Shao |
151 | Manipulation III | Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches | Peihong Yu, Amisha Bhaskar, Anukriti Singh, Zahiruddin Mahammad, Pratap Tokekar |
152 | Manipulation III | RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation | Kun Wu, Chengkai Hou, Jiaming Liu, Zhengping Che, Xiaozhu Ju, Zhuqin Yang, Meng Li, Yinuo Zhao, Zhiyuan Xu, Guang Yang, Shichao Fan, Xinhua Wang, Fei Liao, Zhen Zhao, Guangyu Li, Zhao Jin, Lecheng Wang, Jilei Mao, Ning Liu, Pei Ren, |
153 | Manipulation III | PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation | Wenxuan Li, Hang Zhao, Zhiyuan Yu, Yu Du, Qin Zou, Ruizhen Hu, Kai Xu |
154 | Manipulation III | Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments | Yoonyoung Cho, Junhyek Han, Jisu Han, Beomjoon Kim |
155 | Imitation Learning II | Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization | Jonathan Heewon Yang, Chuyuan Fu, Dhruv Shah, Dorsa Sadigh, Fei Xia, Tingnan Zhang |
156 | Imitation Learning II | ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation | Yufei Wang, Ziyu Wang, Mino Nakura, Pratik Bhowal, Chia-Liang Kuo, Yi-Ting Chen, Zackory Erickson, David Held |
157 | Imitation Learning II | DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning | Zhengrong Xue, Shuying Deng, Zhenyang Chen, Yixuan Wang, Zhecheng Yuan, Huazhe Xu |
158 | Imitation Learning II | IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation | Krishan Rana, Robert Lee, David Pershouse, Niko Suenderhauf |
159 | Imitation Learning II | Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training | Xiatao Sun, Shuo Yang, Yinxing Chen, Francis Fan, Yiyan (Edgar) Liang, Daniel Rakita |
160 | Imitation Learning II | Gripper Pose and Object Pointflow as Interfaces for Robotic Bimanual Manipulation | Yuyin Yang, Zetao Cai, Yang Tian, Jia Zeng, Jiangmiao Pang |
161 | Imitation Learning II | SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation | Shengjie Wang, Jiacheng You, Yihang Hu, Jiongye Li, Yang Gao |
162 | Imitation Learning II | Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations | Ken-Joel Simmoteit, Philipp Schillinger, Leonel Rozo |
163 | Imitation Learning II | Learning Interpretable Features from Interventions | Erin Hedlund-Botti, Julianna Schalkwyk, Nina Marie Moorman, Chuxuan Yang, Lakshmi Seelam, Sanne Van Waveren, Russell Perkins, Paul Robinette, Matthew Craig Gombolay |