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ORCID19th Robotics: Science and Systems 2024: Delft, The Netherlands
- Dana Kulic, Gentiane Venture, Kostas E. Bekris, Enrique Coronado:
Robotics: Science and Systems XX, Delft, The Netherlands, July 15-19, 2024. 2024, ISBN 979-8-9902848-0-7 - Darrick Lee, Cameron Lerch, Fabio Ramos, Ian Abraham:
Stein Variational Ergodic Search. - Wilson Jallet, Ewen Dantec, Etienne Arlaud, Nicolas Mansard, Justin Carpentier:
Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control. - Alex Oshin, Hassan Almubarak, Evangelos A. Theodorou:
Differentiable Robust Model Predictive Control. - Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan:
Computation-Aware Learning for Stable Control with Gaussian Process. - Yupeng Yang, Yiwei Lyu, Yanze Zhang, Sha Yi, Wenhao Luo:
Decentralized Multi-Robot Line-of-Sight Connectivity Maintenance under Uncertainty. - Javier Borquez, Shuang Peng, Yiyu Chen, Quan Nguyen, Somil Bansal:
Hamilton-Jacobi Reachability Analysis for Hybrid Systems with Controlled and Forced Transitions. - Nikhil Uday Shinde, Xiao Liang, Fei Liu
, Yutong Zhang, Florian Richter, Sylvia Lee Herbert, Michael C. Yip:
JIGGLE: An Active Sensing Framework for Boundary Parameters Estimation in Deformable Surgical Environments. - Michelle D. Zhao, Reid G. Simmons, Henny Admoni, Andrea Bajcsy:
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions. - Tong Yang, Li Huang, Jaime Valls Miró, Yue Wang, Rong Xiong:
Optimal Non-Redundant Manipulator Surface Coverage with Rank-Deficient Manipulability Constraints. - Kaifeng Zhang, Baoyu Li, Kris Hauser, Yunzhu Li:
AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation. - Mingxiao Huo, Mingyu Ding, Chenfeng Xu, Thomas Tian, Xinghao Zhu, Yao Mu, Lingfeng Sun, Masayoshi Tomizuka, Wei Zhan:
Human-oriented Representation Learning for Robotic Manipulation. - William Yang, Michael Posa:
Dynamic On-Palm Manipulation via Controlled Sliding. - Jensen Gao, Annie Xie, Ted Xiao, Chelsea Finn, Dorsa Sadigh:
Efficient Data Collection for Robotic Manipulation via Compositional Generalization. - Kenneth Shaw, Ananye Agarwal, Shikhar Bahl, Mohan Kumar Srirama, Alexandre Kirchmeyer, Aditya Kannan, Aravind Sivakumar, Deepak Pathak:
Demonstrating Learning from Humans on Open-Source Dexterous Robot Hands. - Marcel Torne Villasevil, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal:
Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation. - Haoran Geng, Songlin Wei, Congyue Deng, Bokui Shen, He Wang, Leonidas J. Guibas:
SAGE: Bridging Semantic and Actionable Parts for GEneralizable Articulated-Object Manipulation under Language Instructions. - Tirthankar Bandyopadhyay, Fletcher Talbot, Callum Bennie, Hashini Senaratne, Xun Li, Brendan Tidd, Mingze Xi, Jan Stiefel, Volkan Dedeoglu, Rod Taylor, Tea Molnar, Ziwei Wang, Joshua Pinskier, Feng Xu, Lois Liow, Ben Burgess-Limerick, Jesse Haviland, Pavan Sikka, Simon Murrell, Jane Hodgkinson, Jiajun Liu, Frederick Pauling, Stanislav Funiak:
Demonstrating Event-Triggered Investigation and Sample Collection for Human Scientists using Field Robots and Large Foundation Models. - Ryan Lee, Benjamin Younes, Alexander Pletta, John Harrington, Russell Q. Wong, William "Red" Whittaker:
CraterGrader: Autonomous Robotic Terrain Manipulation for Lunar Site Preparation and Earthmoving. - Weizhe Chen, Lantao Liu, Roni Khardon:
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. - Justin Lidard, Haimin Hu, Asher Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak Edakkattil Gopinath, Guy Rosman, Naomi Ehrich Leonard, Maria Santos, Jaime Fernández Fisac:
Blending Data-Driven Priors in Dynamic Games. - Sidharth Talia, Matthew Schmittle, Alexander Lambert, Alexander Spitzer, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa:
Demonstrating HOUND: A Low-cost Research Platform for High-speed Off-road Underactuated Nonholonomic Driving. - Tyler Han, Alex Liu, Anqi Li, Alexander Spitzer, Guanya Shi, Byron Boots:
Model Predictive Control for Aggressive Driving Over Uneven Terrain. - Arun Narenthiran Sivakumar, Mateus Valverde Gasparino, Michael McGuire, Vitor Akihiro Hisano Higuti, M. Ugur Akcal, Girish Chowdhary:
Demonstrating CropFollow++: Robust Under-Canopy Navigation with Keypoints. - Muhammad Fadhil Ginting, Sung-Kyun Kim, David D. Fan, Matteo Palieri, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi:
SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks. - Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, Chelsea Finn:
Yell At Your Robot: Improving On-the-Fly from Language Corrections. - Mike Allenspach, Michael Pantic, Rik Girod, Lionel Ott, Roland Siegwart:
Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies. - Justin Lidard, Hang Pham, Ariel Bachman, Bryan Boateng, Anirudha Majumdar:
Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction. - Yifei Simon Shao, Tianyu Li, Shafagh Keyvanian, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa:
Constraint-Aware Intent Estimation for Dynamic Human-Robot Object Co-Manipulation. - Chenxu Wang, Boyuan Du, Jiaxin Xu, Huaping Liu:
Demonstrating HumanTHOR: A Simulation Platform and Benchmark for Human-Robot Collaboration in a Shared Workspace. - Erin Hedlund-Botti, Lakshmi Seelam, Chuxuan Yang, Nathaniel Belles, Zulfiqar Haider Zaidi, Matthew C. Gombolay:
Developing Design Guidelines for Older Adults with Robot Learning from Demonstration. - Rajat Kumar Jenamani, Priya Sundaresan, Maram Sakr, Tapomayukh Bhattacharjee, Dorsa Sadigh:
FLAIR: Feeding via Long-Horizon AcquIsition of Realistic dishes. - Nnamdi Nwagwu, Adeline Schneider, Ibrahim Syed, Brian J. Zhang, Naomi T. Fitter:
The Benefits of Sound Resound: An In-Person Replication of the Ability of Character-Like Robot Sound to Improve Perceived Social Warmth. - Xinzhu Liu, Peiyan Li, Wenju Yang, Di Guo, Huaping Liu:
Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration. - Muzhi Han, Yifeng Zhu, Song-Chun Zhu, Ying Nian Wu, Yuke Zhu:
INTERPRET: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning. - Jonathan B. Michaux, Adam Li, Qingyi Chen, Che Chen, Ram Vasudevan:
Safe Planning for Articulated Robots Using Reachability-based Obstacle Avoidance With Spheres. - Jiaming Hu, Shrutheesh Raman Iyer, Jiawei Wang, Henrik I. Christensen:
Motion Planning in Foliated Manifolds using Repetition Roadmap. - Guanqi Chen, Lei Yang, Ruixing Jia, Zhe Hu, Yizhou Chen, Wei Zhang, Wenping Wang, Jia Pan:
Language-Augmented Symbolic Planner for Open-World Task Planning. - Clayton W. Ramsey, Zachary K. Kingston, Wil Thomason, Lydia E. Kavraki:
Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Motion Planning with Pointclouds. - Jing Huang:
Homotopic Path Set Planning for Robot Manipulation and Navigation. - Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry:
Practice Makes Perfect: Planning to Learning Skill Parameter Policies. - Hongbin Lin:
World Models for General Surgical Grasping. - Sirui Chen, Jeannette Bohg, C. Karen Liu:
SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty. - Chen Wang, Haochen Shi, Weizhuo Wang, Ruohan Zhang, Li Fei-Fei, C. Karen Liu:
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation. - Tasbolat Taunyazov, Kelvin Lin, Harold Soh:
GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps. - Cheng Chi, Zhenjia Xu, Chuer Pan, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Russ Tedrake, Shuran Song:
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots. - Snehal Jauhri, Ishikaa Lunawat, Georgia Chalvatzaki:
Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering. - Max Spahn, Corrado Pezzato, Chadi Salmi, Rick Dekker, Cong Wang, Christian Pek, Jens Kober, Javier Alonso-Mora, Carlos Hernández Corbato, Martijn Wisse:
Demonstrating Adaptive Mobile Manipulation in Retail Environments. - Xiaoyu Zhang, Matthew Chang, Pranav Kumar, Saurabh Gupta:
Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning. - Suneel Belkhale, Tianli Ding, Ted Xiao, Pierre Sermanet, Quan Vuong, Jonathan Tompson, Yevgen Chebotar, Debidatta Dwibedi, Dorsa Sadigh:
RT-H: Action Hierarchies using Language. - Soroush Nasiriany, Abhiram Maddukuri, Lance Zhang, Adeet Parikh, Aaron Lo, Abhishek Joshi, Ajay Mandlekar, Yuke Zhu:
RoboCasa: Large-Scale Simulation of Household Tasks for Generalist Robots. - Vitalis Vosylius, Younggyo Seo, Jafar Uruç, Stephen James:
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning. - Vidhi Jain, Maria Attarian, Nikhil J. Joshi, Ayzaan Wahid, Danny Driess, Quan Vuong, Pannag R. Sanketi, Pierre Sermanet, Stefan Welker, Christine Chan, Igor Gilitschenski, Yonatan Bisk, Debidatta Dwibedi:
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. - Zhao-Heng Yin, Pieter Abbeel:
Offline Imitation Learning Through Graph Search and Retrieval. - Ankit Goyal, Valts Blukis, Jie Xu, Yijie Guo, Yu-Wei Chao, Dieter Fox:
RVT-2: Learning Precise Manipulation from Few Demonstrations. - Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh:
Imitation Bootstrapped Reinforcement Learning. - Fan Shi, Chong Zhang, Takahiro Miki, Joonho Lee, Marco Hutter, Stelian Coros:
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers. - Xinyang Gu, Yen-Jen Wang, Xiang Zhu, Chengming Shi, Yanjiang Guo, Yichen Liu, Jianyu Chen:
Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning. - Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi:
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion. - Shangke Lyu, Xin Lang, Han Zhao, Hongyin Zhang, Pengxiang Ding, Donglin Wang:
RL2AC: Reinforcement Learning-based Rapid Online Adaptive Control for Legged Robot Robust Locomotion. - Carmelo Sferrazza, Dun-Ming Huang, Xingyu Lin, Youngwoon Lee, Pieter Abbeel:
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation. - Kuan Fang, Fangchen Liu, Pieter Abbeel, Sergey Levine:
MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting. - Zili Tang, Yuming Feng, Meng Guo:
Collaborative Planar Pushing of Polytopic Objects with Multiple Robots in Complex Scenes. - Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Yashraj S. Narang:
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries. - Yulin Zhang, Dylan Shell:
An abstract theory of sensor eventification. - Samson Yu, Kelvin Lin, Anxing Xiao, Jiafei Duan, Harold Soh:
Octopi: Object Property Reasoning with Large Tactile-Language Models. - Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu:
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations. - Mohan Kumar Srirama, Sudeep Dasari, Shikhar Bahl, Abhinav Gupta:
HRP: Human affordances for Robotic Pre-training. - Lawrence Yunliang Chen, Karthik Dharmarajan, Kush Hari, Chenfeng Xu, Quan Vuong, Ken Goldberg:
MIRAGE: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting. - Yitong Li, Ruihai Wu, Haoran Lu, Chuanruo Ning, Yan Shen, Guanqi Zhan, Hao Dong:
Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters. - Aaditya Prasad, Kevin Lin, Jimmy Wu, Linqi Zhou, Jeannette Bohg:
Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation. - Yihuai Gao, Yukai Tang, Han Qi, Heng Yang:
CLOSURE: Fast Quantification of Pose Uncertainty Sets. - Matthew Chang, Théophile Gervet, Mukul Khanna, Sriram Yenamandra, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, Roozbeh Mottaghi, Jitendra Malik, Devendra Singh Chaplot:
GOAT: GO to Any Thing. - Linh Kästner, Volodymyir Shcherbyna, Huajian Zeng, Tuan Anh Le, Maximilian Ho-Kyoung Schreff, Halid Osmaev, Nam Truong Tran, Diego Diaz, Jan Golebiowski, Harold Soh, Jens Lambrecht:
Demonstrating Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments. - Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd:
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning. - Amirhosein Chahe, Chenan Wang, Abhishek Jeyapratap, Kaidi Xu, Lifeng Zhou:
Dynamic Adversarial Attacks on Autonomous Driving Systems. - Abdelrhman Werby, Chenguang Huang, Martin Büchner, Abhinav Valada, Wolfram Burgard:
Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation. - Arpit Bahety, Priyanka Mandikal, Ben Abbatematteo, Roberto Martín-Martín:
ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection. - Jiazhao Zhang, Kunyu Wang, Rongtao Xu, Gengze Zhou, Yicong Hong, Xiaomeng Fang, Qi Wu, Zhizheng Zhang, He Wang:
NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation. - Kyle Stachowicz, Sergey Levine:
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes. - Lukas Schmid, Marcus Abate, Yun Chang, Luca Carlone:
Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments. - Ismail Geles, Leonard Bauersfeld, Angel Romero, Jiaxu Xing, Davide Scaramuzza:
Demonstrating Agile Flight from Pixels without State Estimation. - Parker Ewen, Hao Chen, Yuzhen Chen, Anran Li, Anup Bagali, Gitesh Gunjal, Ram Vasudevan:
You've Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction. - Alejandro Fontán, Javier Civera, Michael Milford:
AnyFeature-VSLAM: Automating the Usage of Any Feature into Visual SLAM. - Daniel McGann, Michael Kaess:
iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping. - Tianyue Wu, Fei Gao:
Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization. - Rachel A Moan, Courtney McBeth, Marco Morales, Nancy M. Amato, Kris Hauser:
Experience-based multi-agent path finding with narrow corridors. - Xiuyuan Lu, Yi Zhou, Junkai Niu, Sheng Zhong, Shaojie Shen:
Event-based Visual Inertial Velometer. - Allen Z. Ren, Jaden Clark, Anushri Dixit, Masha Itkina, Anirudha Majumdar, Dorsa Sadigh:
Explore until Confident: Efficient Exploration for Embodied Question Answering. - Dibya Ghosh, Homer Rich Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Quan Vuong, Ted Xiao, Pannag R. Sanketi, Dorsa Sadigh, Chelsea Finn, Sergey Levine:
Octo: An Open-Source Generalist Robot Policy. - Peiqi Liu, Yaswanth Orru, Jay Vakil, Chris Paxton, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto:
Demonstrating OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics. - Chuan Wen, Xingyu Lin, John Ian Reyes So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel:
Any-point Trajectory Modeling for Policy Learning. - Jonathan Heewon Yang, Catherine Glossop, Arjun Bhorkar, Dhruv Shah, Quan Vuong, Chelsea Finn, Dorsa Sadigh, Sergey Levine:
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation. - Yecheng Jason Ma, William Liang, Hung-Ju Wang, Yuke Zhu, Linxi Fan, Osbert Bastani, Dinesh Jayaraman:
DrEureka: Language Model Guided Sim-To-Real Transfer. - Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu:
Set It Up!: Functional Object Arrangement with Compositional Generative Models. - Norman Di Palo, Edward Johns:
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics. - Tuan Tai Nguyen, Quan Khanh Luu, Dinh Quang Nguyen, Van Anh Ho:
ConTac: Continuum-Emulated Soft Skinned Arm with Vision-based Shape Sensing and Contact-aware Manipulation. - Yingjun Tian, Guoxin Fang, Renbo Su, Weiming Wang, Simeon Gill, Andrew Weightman, Charlie C. L. Wang:
Function Based Sim-to-Real Learning for Shape Control of Deformable Free-form Surfaces. - Simon Guist, Jan Schneider, Hao Ma, Le Chen, Vincent Berenz, Julian Martus, Heiko Ott, Felix Grüninger, Michael Muehlebach, Jonathan Fiene, Bernhard Schölkopf, Dieter Büchler:
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion. - Luke Strgar, David Matthews, Tyler Hummer, Sam Kriegman:
Evolution and learning in differentiable robots. - Jihao Li, Keqi Zhu, Guodong Lu, I-Ming Chen, Huixu Dong:
Construction of a Multiple-DOF Underactuated Gripper with Force-Sensing via Deep Learning. - Jingxian Wang, Andrew G. Curtis, Mark Yim, Michael Rubenstein:
A Single Motor Nano Aerial Vehicle with Novel Peer-to-Peer Communication and Sensing Mechanism. - Ruben Grandia, Espen Knoop, Michael A. Hopkins, Georg Wiedebach, Jared Bishop, Steven Pickles, David Müller, Moritz Bächer:
Design and Control of a Bipedal Robotic Character. - Jean-Baptiste Bouvier, Kartik Nagpal, Negar Mehr:
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints. - Ravi Tejwani, Chengyuan Ma, Paco Gomez-Paz, Paolo Bonato, Haruhiko Asada:
Demonstrating Language-Grounded Motion Controller. - Wentao Zhao, Jiaming Chen, Ziyu Meng, Donghui Mao, Ran Song, Wei Zhang:
VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation. - Xuxin Cheng, Yandong Ji, Junming Chen, Ruihan Yang, Ge Yang, Xiaolong Wang:
Expressive Whole-Body Control for Humanoid Robots. - Justin Carpentier, Quentin Le Lidec, Louis Montaut:
From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach. - Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza:
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints. - Bruce Wingo, Ajay Suresha Sathya, Stéphane Caron, Seth A. Hutchinson, Justin Carpentier:
Linear-time Differential Inverse Kinematics: an Augmented Lagrangian Perspective. - Javier Puig-Navarro, Dominic R. Bisio, John E. Pye, Yotam Granov, Joshua N. Moser, Jessica S. Friz, Walter J. Waltz, Julia E. Cline, B. Danette Allen:
A Trajectory Tracking Algorithm for the LSMS Family of Cable-Driven Cranes. - Timo Birr, Christoph Pohl, Abdelrahman Younes, Tamim Asfour:
AutoGPT+P: Affordance-based Task Planning using Large Language Models. - Ramkumar Natarajan, Chaoqi Liu, Howie Choset, Maxim Likhachev:
Implicit Graph Search for Planning on Graphs of Convex Sets. - Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, Marco Pavone:
Real-Time Anomaly Detection and Reactive Planning with Large Language Models. - Zhuoli Tian, Yuyang Zhang, Jinsheng Wei, Meng Guo:
iHERO: Interactive Human-oriented Exploration and Supervision Under Scarce Communication. - Haimin Hu, Gabriele Dragotto, Zixu Zhang, Kaiqu Liang, Bartolomeo Stellato, Jaime Fernández Fisac:
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots. - Long Kiu Chung, Wonsuhk Jung, Chuizheng Kong, Shreyas Kousik:
Goal-Reaching Trajectory Design Near Danger with Piecewise Affine Reach-avoid Computation. - Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. - Teng Xue, Amirreza Razmjoo, Suhan Shetty, Sylvain Calinon:
Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning. - Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Moritz Reuss, Ömer Erdinç Yagmurlu, Fabian Wenzel, Rudolf Lioutikov:
Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals. - Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh:
Don't Start From Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion. - Jia Zeng, Qingwen Bu, Bangjun Wang, Wenke Xia, Li Chen, Hao Dong, Haoming Song, Dong Wang, Di Hu, Ping Luo, Heming Cui, Bin Zhao, Xuelong Li, Yu Qiao, Hongyang Li:
Learning Manipulation by Predicting Interaction. - Qiuyu Chen, Aaron Walsman, Marius Memmel, Kaichun Mo, Alex Fang, Dieter Fox, Abhishek Gupta:
URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images. - Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Maria Attarian, Maria Bauzá Villalonga, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Kenneth Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada:
Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Albert Yu, Adeline Foote, Raymond Mooney, Roberto Martín-Martín:
Natural Language Can Help Bridge the Sim2Real Gap. - Lirui Wang, Jialiang Zhao, Yilun Du, Edward H. Adelson, Russ Tedrake:
PoCo: Policy Composition from and for Heterogeneous Robot Learning. - Zilin Si, Kevin Lee Zhang, Zeynep Temel, Oliver Kroemer:
Tilde: Teleoperation for Dexterous In-Hand Manipulation Learning with a DeltaHand. - Bowen Jiang, Yilin Wu, Wenxuan Zhou, Chris Paxton, David Held:
HACMan++: Spatially-Grounded Motion Primitives for Manipulation. - Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu:
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. - Yiming Li, Xuemin Chi, Amirreza Razmjoo, Sylvain Calinon:
Configuration Space Distance Fields for Manipulation Planning. - Bernhard Paus Graesdal, Shao Yuan Chew Chia, Tobia Marcucci, Savva Morozov, Alexandre Amice, Pablo A. Parrilo, Russ Tedrake:
Towards Tight Convex Relaxations for Contact-Rich Manipulation. - Wilbert Pumacay, Ishika Singh, Jiafei Duan, Ranjay Krishna, Jesse Thomason, Dieter Fox:
THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation. - Xinyu Zhang, Abdeslam Boularias:
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation. - Miquel Oller, Dmitry Berenson, Nima Fazeli:
Tactile-Driven Non-Prehensile Object Manipulation via Extrinsic Contact Mode Control.
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