The detailed paper presentation schedule is available [here].
| ID | Title | Authors |
|---|---|---|
| 1 | ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation | Bokui Shen (Stanford University), Zhenyu Jiang (University of Texas at Austin), Christopher Choy (NVIDIA), Leonidas Guibas (Stanford University), Silvio Savarese (Stanford University), Anima Anandkumar (NVIDIA/Caltech), Yuke Zhu (University of Texas - Austin) |
| 2 | KernelGPA: A Deformable SLAM Back-end | Fang Bai, Adrien Bartoli (Université Clermont Auvergne) |
| 3 | Occupancy-SLAM: Simultaneously Optimizing Robot Poses and Continuous Occupancy Map | Liang Zhao, Yingyu Wang, Shoudong Huang (University of Technology Sydney) |
| 4 | Resilient Multi-Sensor Exploration of Multifarious Environments with a Team of Aerial Robots | Graeme Best (University of Technology Sydney), Rohit Garg (Carnegie Mellon University), John Keller (Carnegie Mellon University), Geoff Hollinger (Oregon State University), Sebastian Scherer (Carnegie Mellon University) |
| 5 | CURL: Continuous, Ultra-compact Representation for LiDAR | Kaicheng Zhang, Ziyang Hong, Shida Xu, Sen Wang (Heriot-Watt University) |
| 6 | SEER: Unsupervised and Sample-Efficient Environment Specialization of Image Descriptors | Peer Neubert, Stefan Schubert (TU Chemnitz) |
| 7 | Equivariant Transporter Network | Haojie Huang, Dian Wang, Robin Walters, Robert Platt (Northeastern University) |
| 8 | RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks | Haochen Shi (Stanford University), Huazhe Xu (Stanford University), Zhiao Huang (University of California San Diego), Yunzhu Li (Massachusetts Institute of Technology), Jiajun Wu (Stanford University) |
| 9 | Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning | Maximilian Du, Olivia Y Lee, Suraj Nair, Chelsea Finn (Stanford University) |
| 10 | The Surprising Effectiveness of Representation Learning for Visual Imitation | Jyothish Pari, Nur Muhammad Shafiullah, Sridhar Pandian Arunachalam, Lerrel Pinto (New York University) |
| 11 | Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation | Zixuan Huang, Xingyu Lin, David Held (Carnegie Mellon University) |
| 12 | iSDF: Real-Time Neural Signed Distance Fields for Robot Perception | Joseph Ortiz (Imperial College London), Alexander Clegg (Facebook AI Research), Jing Dong (Facebook), Edgar A Sucar (Imperial College London), David Novotny (Facebook AI Research), Michael Zollhöfer (Facebook Reality Labs), Mustafa Mukadam (Facebook AI Research) |
| 13 | POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes | Jingxing Qian (University of Toronto), Veronica Chatrath (University of Toronto), Jun Yang (University of Toronto), James Servos (Clearpath Robotics), Angela Schoellig (University of Toronto), Steven L Waslander (University of Toronto) |
| 14 | PropEM-L: Radio Propagation Environment Modeling and Learning for Communication-Aware Multi-Robot Exploration | Lillian Clark (University of Southern California), Jeffrey Edlund (Jet Propulsion Laboratory/California Institute of Technology), Tiago Stegun Vaquero (Jet Propulsion Laboratory/California Institute of Technology), Marc Sanchez Net (Jet Propulsion Laboratory/California Institute of Technology), Ali Agha (Jet Propulsion Laboratory) |
| 15 | DICP: Doppler Iterative Closest Point Algorithm | Bruno Hexsel, Heethesh Vhavle, Yi Chen (Aeva Inc) |
| 16 | Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects | Cheng Chi (Columbia University), Benjamin CM Burchfiel (Toyota Research Institute), Eric Cousineau (Toyota Research Institute), Siyuan Feng (Toyota Research Institute), Shuran Song (Columbia University) |
| 17 | DextAIRity: Deformable Manipulation Can be a Breeze | Zhenjia Xu (Columbia University), Cheng Chi (Columbia University), Benjamin CM Burchfiel (Toyota Research Institute), Eric Cousineau (Toyota Research Institute), Siyuan Feng (Toyota Research Institute), Shuran Song (Columbia University) |
| 18 | FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects | Benjamin Eisner, Harry Zhang, David Held (Carnegie Mellon University) |
| 19 | ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints | Dhruv Shah, Sergey Levine (UC Berkeley) |
| 20 | MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication | Kaiqi Chen, Jeffrey Fong, Harold Soh (National University of Singapore) |
| 21 | Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning | Sunwoo Kim (Seoul National University), Maks Sorokin (Georgia Institute of Technology), Jehee Lee (Seoul National University), Sehoon Ha (Georgia Institute of Technology) |
| 22 | Rapid Locomotion via Reinforcement Learning | Gabriel B Margolis (Massachusetts Institute of Technology), Ge Yang (University of Chicago), Kartik Paigwar (Arizona State University), Tao Chen (Massachusetts Institute of Technology), Pulkit Agrawal (Massachusetts Institute of Technology) |
| 23 | Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on YouTube | Aravind Sivakumar, Kenneth Shaw, Deepak Pathak (Carnegie Mellon University) |
| 24 | Underwater Robot-To-Human Communication Via Motion: Implementation and Full-Loop Human Interface Evaluation | Michael S Fulton, Muntaqim Mehtaz, Owen Queeglay, Junaed Sattar (University of Minnesota) |
| 25 | Gaze Complements Control Input for Goal Prediction During Assisted Teleoperation | Reuben M Aronson, Henny Admoni (Carnegie Mellon University) |
| 26 | Human-to-Robot Imitation in the Wild | Shikhar Bahl (Carnegie Mellon University), Abhinav Gupta (Carnegie Mellon University/Facebook AI Research), Deepak Pathak (Carnegie Mellon University) |
| 27 | Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection | Thomas J Power, Dmitry Berenson (University of Michigan) |
| 28 | Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions | Nakul Gopalan, Nina M Moorman, Manisha Natarajan, Matthew Gombolay (Georgia Institute of Technology) |
| 29 | A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles | Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach (Max Planck Institute for Intelligent Systems) |
| 30 | Distributed Optimisation and Deconstruction of Bridges by Self-Assembling Robots | Edward Bray, Roderich Gross (The University of Sheffield) |
| 31 | Data Augmentation for Manipulation | Peter Mitrano, Dmitry Berenson (University of Michigan) |
| 32 | Embodied Multi-Agent Task Planning from Ambiguous Instruction | Xinzhu Liu, Xinghang Li, Di Guo, Sinan Tan, Huaping Liu, Sun Fuchun (Tsinghua University) |
| 33 | Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models | Zhongyu Li, Jun Zeng, Akshay Thirugnanam, Koushil Sreenath (UC Berkeley) |
| 34 | Autonomously Untangling Long Cables | Kaushik Shivakumar, Vainavi Viswanath, Justin Kerr, Brijen Thananjeyan, Ellen Novoseller, Jeffrey Ichnowski, Ken Goldberg, Joseph Gonzalez, Michael Laskey, Alejandro Escontrela (UC Berkeley) |
| 35 | Factory: Fast Contact for Robotic Assembly | Yashraj S Narang, Kier Storey, Iretiayo A Akinola, Miles Macklin, Philipp Reist, Lukasz Wawrzyniak, Yunrong Guo, Adam Moravanszky, Gavriel State, Michelle Lu, Ankur Handa, Dieter Fox (NVIDIA) |
| 36 | Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning | Anirudha Majumdar, Vincent Pacelli (Princeton University) |
| 37 | Certifiable Robot Design Optimization using Differentiable Programming | Charles B Dawson, Chuchu Fan (Massachusetts Institute of Technology) |
| 38 | Collocation Methods for Second Order Systems | Siro Moreno (Consejo Superior de Investigaciones Científicas), Lluís Ros (Institut de Robòtica i Informàtica Industrial/CSIC-UPC), Enric Celaya (Consejo Superior de Investigaciones Científicas) |
| 39 | Collision Detection Accelerated: An Optimization Perspective | Louis Montaut (INRIA/CIIRC), Quentin Le Lidec (INRIA), Vladimír Petrík (Czech Technical University), Josef Sivic (Czech Technical University), Justin Carpentier (INRIA) |
| 40 | PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond | Antoine Bambade (INRIA), Sarah El Kazdadi (INRIA), Adrien B Taylor (INRIA/ENS), Justin Carpentier (INRIA) |
| 41 | SymForce: Symbolic Computation and Code Generation for Robotics | Hayk Martiros, Aaron Miller (Skydio Inc.) |
| 42 | Failure Prediction with Statistical Guarantees for Vision-Based Robot Control | Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar (Princeton University) |
| 43 | Proxima: An Approach for Time or Accuracy Budgeted Collision Proximity Queries | Daniel Rakita, Bilge Mutlu, Michael Gleicher (University of Wisconsin - Madison) |
| 44 | You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration | Bowen Wen (Rutgers University), Wenzhao Lian (Intrinsic), Kostas Bekris (Rutgers University), Stefan Schaal (University of Southern California) |
| 45 | DiPCAN: Distilling Privileged Information for Crowd-Aware Navigation | Gianluca Monaci, Michel Aractingi, Tomi Silander (NAVER LABS Europe) |
| 46 | Parameterized Differential Dynamic Programming | Alex Oshin (Georgia Institute of Technology), Matthew D Houghton (National Aeronautics and Space Administration), Michael Acheson (National Aeronautics and Space Administration), Irene Gregory (National Aeronautics and Space Administration), Evangelos Theodorou (Georgia Institute of Technology) |
| 47 | AK: Attentive Kernel for Information Gathering | Weizhe Chen, Roni Khardon, Lantao Liu (Indiana University Bloomington) |
| 48 | SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robot | Md Jahidul Islam (University of Florida), Ruobing Wang (University of Minnesota), Junaed Sattar (University of Minnesota) |
| 49 | TNS: Terrain Traversability Mapping and Navigation System for Autonomous Excavators | Tianrui Guan (University of Maryland - College Park), Zhenpeng He (Baidu Research Institute), Ruitao Song (Baidu Research Institute), Dinesh Manocha (University of Maryland - College Park), Liangjun Zhang (Baidu Research Institute) |
| 50 | Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization | Nathan Hughes, Yun Chang, Luca Carlone (Massachusetts Institute of Technology) |
| 51 | Learning Mixed Strategies in Trajectory Games | Lasse Peters (Delft University of Technology), David Fridovich-Keil (Stanford University), Laura Ferranti (Delft University of Technology), Cyrill Stachniss (University of Bonn), Javier Alonso-Mora (Delft University of Technology), Forrest J Laine (UC Berkeley) |
| 52 | A Local Optimization Framework for Multi-Objective Ergodic Search | Zhongqiang Ren (Carnegie Mellon University), Akshaya Kesarimangalam Srinivasan (Carnegie Mellon University), Howard Coffin (Carnegie Mellon University), Ian Abraham (Yale University), Howie Choset (Carnegie Mellon University) |
| 53 | Multi-Robot Adversarial Resilience using Control Barrier Functions | Matthew Cavorsi (Harvard University), Beatrice Capelli (University of Modena and Reggio Emilia), Lorenzo Sabattini (University of Modena and Reggio Emilia), Stephanie Gil (Harvard University) |
| 54 | FaDIV-Syn: Fast Depth-Independent View Synthesis using Soft Masks and Implicit Blending | Andre Rochow (University of Bonn), Max Schwarz (University of Bonn), Michael Weinmann (TU Delft), Sven Behnke (University of Bonn) |
| 55 | Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM | Marcus A Pereira, Augustinos D Saravanos, Oswin So, Evangelos Theodorou (Georgia Institute of Technology) |
| 56 | CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation | Zheng Chen, Durgakant Pushp, Lantao Liu (Indiana University Bloomington) |
| 57 | Sub-1.5 Time-Optimal Multi-Robot Path Planning on Grids in Polynomial Time | Teng Guo, Jingjin Yu (Rutgers University) |
| 58 | Conflict-Based Steiner Search for Multi-Agent Combinatorial Path Finding | Zhongqiang Ren (Carnegie Mellon University), Sivakumar Rathinam (Texas A&M University), Howie Choset (Carnegie Mellon University) |
| 59 | Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance | Tianchen Ji, Roy Dong, Katherine Driggs-Campbell (University of Illinois at Urbana-Champaign) |
| 60 | Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization | Gilhyun Ryou, Ezra Tal, Sertac Karaman (Massachusetts Institute of Technology) |
| 61 | Meta Value Learning for Fast Policy-Centric Optimal Motion Planning | Siyuan Xu, Minghui Zhu (The Pennsylvania State University) |
| 62 | Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer | Charles Schaff (Toyota Technological Institute at Chicago), Audrey Sedal (McGill University), Matthew Walter (Toyota Technological Institute at Chicago) |
| 63 | Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets | Frederik D Ebert (UC Berkeley), Yanlai Yang (UC Berkeley), Karl Schmeckpeper (University of Pennsylvania), Bernadette K Bucher (University of Pennsylvania), Georgios Georgakis (University of Pennsylvania), Kostas Daniilidis (University of Pennsylvania), Chelsea Finn (Stanford University), Sergey Levine (UC Berkeley) |
| 64 | Invariance Through Latent Alignment | Takuma Yoneda (Toyota Technological Institute at Chicago), Ge Yang (University of Chicago), Matthew Walter (Toyota Technological Institute at Chicago), Bradly C Stadie (Vector Institute) |
| 65 | Correcting Robot Plans with Natural Language Feedback | Pratyusha Sharma (Massachusetts Institute of Technology), Balakumar Sundaralingam (NVIDIA), Valts Blukis (NVIDIA), Chris Paxton (NVIDIA), Tucker Hermans (University of Utah), Antonio Torralba (Massachusetts Institute of Technology), Jacob Andreas (Massachusetts Institute of Technology), Dieter Fox (NVIDIA) |
| 66 | End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control | Moritz Reuss (Karlsruhe Institute of Technology), Niels van Duijkeren (Bosch Corporate Research), Robert Krug (Bosch Corporate Research), Philipp Becker (Karlsruhe Institute of Technology), Vaisakh Shaj (Karlsruhe Institute Of Technology), Gerhard Neumann (Karlsruhe Institute of Technology) |
| 67 | FuseBot: RF-Visual Mechanical Search | Tara Boroushaki, Laura Dodds, Nazish Naeem, Fadel Adib (Massachusetts Institute of Technology) |
| 68 | Learning Interpretable, High-Performing Policies for Autonomous Driving | Rohan R Paleja (Georgia Institute of Technology), Yaru Niu (Georgia Institute of Technology), Andrew Silva (Georgia Institute of Technology), Chace O Ritchie (University of Kentucky), Sugju Choi (Georgia Institute of Technology), Matthew Gombolay (Georgia Institute of Technology) |
| 69 | Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation | Yunho Kim, Chanyoung Kim, Jemin Hwangbo (Korea Advanced Institute of Science and Technology) |
| 70 | Action Conditioned Tactile Prediction: Case Study on Slip Prediction | Willow Mandil, Amir Ghalamzan, Kiyanoush Nazari (Univercity of Lincoln) |
| 71 | Sample Efficient Grasp Learning Using Equivariant Models | Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, Robert Platt (Northeastern University) |
| 72 | Understanding Dynamic Tactile Sensing for Liquid Property Estimation | Hung-Jui Huang, Xiaofeng Guo, Wenzhen Yuan (Carnegie Mellon University) |
| 73 | Aerial Layouting: Design and Control of a Compliant and Actuated End-Effector for Precise In-flight Marking on Ceilings | Christian Lanegger, Marco Tognon, Lionel Ott, Roland Siegwart (ETH Zurich) |
| 74 | Adaptive Manipulation of Conductive, Nonmagnetic Objects via a Continuous Model of Magnetically Induced Force and Torque | Griffin Tabor (University of Utah), Lan Pham (Relativity Space), Jake Abbott (University of Utah), Tucker Hermans (University of Utah) |