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Equivariant Diffusion Policy | Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt | Northeastern University, Boston Dynamics AI Institute | https://equidiff.github.io | Oral | Yes | Yes | Yes | Equivariance, Diffusion Model, Robotic Manipulation | Arm | Robomimic | Franka Panda | realsense D455 |
D³Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement | Yixuan Wang, Mingtong Zhang, Zhuoran Li, Tarik Kelestemur, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li | Columbia University, University of Illinois Urbana-Champaign, National University of Singapore, Boston Dynamics AI Institute, Stanford University | https://robopil.github.io/d3fields/ | Oral | Yes | Yes | Yes | Implicit 3D Representation, Visual Foundational Model, Zero-Shot Generalization, Robotic Manipulation | Arm | OmniGibson, BEHAVIOR-1K | Kinova Gen3 | - |
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation | Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas Guibas, He Wang, Yue Wang | University of Southern California, Peking University, Stanford University | https://yuxuank.com/RAM/ | Oral | Yes | Yes | Yes | Hierarchical Retrieval, Affordance Transfer, Zero-Shot Robotic Manipulation, Visual Foundation Models | Arm | IsaacGym | Franka Panda | realsense D415 |
Visual Whole-Body Control for Legged Loco-Manipulation | Minghuan Liu∗, Zixuan Chen∗ Xuxin Cheng, Yandong Ji, Rizhao Qiu, Ruihan Yang, Xiaolong Wang | UC San Diego,Shanghai Jiao Tong University,Fudan University | https://wholebody-b1.github.io/ | Oral | Yes | Yes | Yes | Robot Learning, Whole-Body Control, Legged Loco-Manipulation | quadruped | IsaacGym | Unitree B1, Unitree H1 | realsense D435 |
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective | Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang | Shanghai Jiao Tong University,Hong Kong University of Science and Technology,Institute of Artificial Intelligence (TeleAI), China Telecom,Northwestern University,Tsinghua University | https://sites.google.com/view/history-ib | Oral | Yes | Yes | Yes | Sim-to-Real, Information Bottleneck, Reinforcement Learning, Locomotion | quadruped | IsaacGym | Unitree A1 | - |
Environment Curriculum Generation via Large Language Models | William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Dinesh Jayaraman, Yecheng Jason Ma | University of Pennsylvania | https://eureka-research.github.io/eurekaverse/ | Oral | Yes | Yes | Yes | Large Language Models, Environment Curriculum, Quadrupeds, Sim-To-Real Reinforcement Learning | quadruped | IsaacGym | Unitree Go1 | realsense D435 |
Learning Quadruped Locomotion Using Differentiable Simulation | Yunlong Song, Sang bae Kim, Davide Scaramuzza | University of Zurich, MIT | - | Oral | Yes | No | No | Differentiable Simulation, Legged Locomotion, Reinforcement Learning | quadruped | IsaacGym | Mini Cheetah | - |
Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation | Jean Pierre Sleiman, Mayank Mittal, Marco Hutter | ETH Zurich, NVIDIA | https://leggedrobotics.github.io/guided-rl-locoma/ | Oral | Yes | No | Yes | Whole-body Loco-Manipulation, Reinforcement Learning, Legged Mobile Manipulators | quadruped | IsaacGym | Anymal | - |
Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination | Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime Fernández Fisac | Princeton University, Google DeepMind | https://saferobotics.org/research/gameplay-filter | Oral | Yes | No | Yes | Robust Safety, Adversarial Reinforcement Learning, Game Theory | quadruped | Pybullet | Ghost Robotics Spirit S40,Unitree go2 | - |
Differentiable Robot Rendering | Ruoshi Liu, Alper Canberk, Shuran Song, Carl Vondrick | Columbia University, Stanford University | https://drrobot.cs.columbia.edu/ | Oral | Yes | Yes | Yes | Robot Representation, Visual Foundation Model | Humanoid, Arm, quadruped | MuJoCo | Franka Panda | realsense, Kinect 360, azure kinect DK |
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning | Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin Riedmiller, Nicolas Heess | Google DeepMind, University College London | https://sites.google.com/view/vision-soccer | Oral | Yes | No | Yes | robotics, deep reinforcement learning | Humanoid | MuJoCo | Robotis OP3 | Logitech C920 |
WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts | Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi | Carnegie Mellon University, Google DeepMind | https://lecar-lab.github.io/wococo/ | Oral | Yes | Yes | Yes | Whole-Body Humanoid Control, Multi-Contact Control, Reinforcement Learning | Humanoid | IsaacGym | Unitree H1 | - |
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models | Hersh Sanghvi, Spencer Folk, Camillo Jose Taylor | University of Pennsylvania | https://hersh500.github.io/occam | Oral | Yes | Yes | Yes | Controller Adaptation, Robot Model Learning, Meta-Learning | race car, quadrotor, quadruped | OpenAI gym, RotorPy | Crazyflie quadrotor | - |
Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration | Jennifer Grannen, Siddharth Karamcheti, Suvir Mirchandani, Percy Liang, Dorsa Sadigh | Stanford University | https://vocal-sandbox.github.io | Oral | Yes | No | Yes | Continual Learning, Multimodal Teaching, Human-Robot Interaction | Arm | MuJoCo | Franka Panda | ZED 2 |
OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation | Jinhan Li, Yifeng Zhu, Yuqi Xie, Zhenyu Jiang, Mingyo Seo, Georgios Pavlakos, Yuke Zhu | The University of Texas at Austin, Nvidia Research | https://ut-austin-rpl.github.io/OKAMI/ | Oral | Yes | No | Yes | Humanoid Manipulation, Imitation From Videos, Motion Retargeting | Humanoid | RoboSuite | Fourier GR1 | realsense D435i |
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning | Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan, Richard Cheng, Kurt Keutzer, Masayoshi Tomizuka, Quan Vuong, Ken Goldberg | University of California, UC Berkeley, Toyota Research Institute, Physical Intelligence | https://rovi-aug.github.io/ | Oral | Yes | Yes | Yes | Cross-Embodiment Learning, Viewpoint Robust, Data Augmentation | Arm | RoboSuite | Franka Panda, UR5, Sawyer, Kinova Jaco | ZED 2 |
Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction | Justin Kerr, Chung Min Kim, Mingxuan Wu, Brent Yi, Qianqian Wang, Ken Goldberg, Angjoo Kanazawa | UC Berkeley | https://robot-see-robot-do.github.io/ | Oral | Yes | Yes | Yes | Feature Fields, Visual Imitation, Grasping, Articulated Objects | Bimanual Arm | - | ABB YuMi | ZED 2 |
Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks | Ji Woong Kim, Tony Z. Zhao, Samuel Schmidgall, Anton Deguet, Marin Kobilarov, Chelsea Finn, Axel Krieger | Johns Hopkins University, Stanford University | https://surgical-robot-transformer.github.io/ | Oral | Yes | No | Yes | Imitation Learning, Manipulation, Medical Robotics | Bimanual Arm | - | da Vinci Research Kit (dVRK) system | stereo camera |
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality | Keyu Chen, Yuheng Lei, Hao Cheng, Haoran Wu, Wenchao Sun, Sifa Zheng | Tsinghua University, The University of Hong Kong | https://currychen77.github.io/FREA/ | Oral | Yes | Yes | Yes | Feasibility, Scenario Generation, Autonomous Driving | autonomus vehicle | Carla | - | - |
One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits | Franck Djeumou, Thomas Jonathan Lew, NAN DING, Michael Thompson, Makoto Suminaka, Marcus Greiff, John Subosits | Toyota Research Institute,Rensselaer Polytechnic Institute | - | Oral | Yes | No | No | Diffusion Models, Learning for Control, Autonomous Drifting, Model Predictive Control | autonomus vehicle | - | Toyota Supra, Lexus LC500 | - |
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments | Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao | Tsinghua university, Shanghai Qi Zhi Institute, Stanford university, QCraft | https://github.com/Emiyalzn/CoRL24-UNREST | Oral | Yes | Yes | No | Self-Driving, Decision Transformer, Uncertainty-Aware Planning | autonomus vehicle | CARLA | - | - |
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators | Kuo-Hao Zeng, Zichen Zhang, Kiana Ehsani, Rose Hendrix, Jordi Salvador, Alvaro Herrasti, Ross Girshick, Aniruddha Kembhavi, Luca Weihs | Allen Institute for Artifical Intelligence | https://poliformer.allen.ai | Oral | Yes | Yes | Yes | Embodied Navigation, On-Policy RL, Transformer Policy | Mobile Manipulator | AI2-THOR | LoCoBot, Stretch RE-1 | - |
SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People | Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine | University of California, UC Berkeley, Toyota Motor North America | https://sites.google.com/view/selfi-rl/ | Oral | Yes | No | Yes | online reinforcement learning, vision-based navigation | mobile | - | Self Created | Ricoh Theta S |
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation | Ria Doshi, Homer Rich Walke, Oier Mees, Sudeep Dasari, Sergey Levine | UC Berkeley, Carnegie Mellon University | https://crossformer-model.github.io/ | Oral | Yes | Yes | Yes | Imitation Learning, Cross-Embodiment | Arm | - | WindowX 250, ALOHA, LoCoBot, unitree Go1, TELLO | - |
Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own | Weirui Ye, Yunsheng Zhang, Haoyang Weng, Xianfan Gu, Shengjie Wang, Tong Zhang, Mengchen Wang, Pieter Abbeel, Yang Gao | Tsinghua University, Shanghai Qi Zhi Institute, Shanghai Artificial Intelligence Laboratory, UC Berkeley | https://yewr.github.io/rlfp | Oral | Yes | No | Yes | Reinforcement Learning, Foundation Models, Robotics, VLMs | Arm | MetaWorld | Franka Panda | - |
Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation | Ruoxuan Feng, Di Hu, Wenke Ma, Xuelong Li | Gaoling School of Artificial Intelligence, Renmin University of China, Shenzhen Taobotics Co., Ltd. Institute of Artificial Intelligence (TeleAI), China Telecom | https://gewu-lab.github.io/MS-Bot/ | Oral | Yes | Yes | Yes | Multi-Sensory, Robotic Manipulation, Multi-Stage | Arm | - | xArm 6, Robotiq 2F-140 | realsense D435i, GelSight |
TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach | Weikun Peng, Jun Lv, Yuwei Zeng, Haonan Chen, Siheng Zhao, Jichen Sun, Cewu Lu, Lin Shao | National University of Singapore, Shanghai Jiao Tong University, Nanjing University | https://tiebots.github.io/ | Oral | Yes | No | Yes | cloth manipulation, learning from demonstration, robot learning | dual arm | DiffClothAI | Flexiv Rizon, Kinova MOVO | realsense D435, Kinect |
Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics | Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Suenderhauf | QUT Centre for Robotics, University of Adelaide | https://embodied-gaussians.github.io/ | Oral | Yes | No | Yes | 3D Representation, Gaussian Splatting, Robotics, Tracking, Physics | Arm | - | Franka Panda | realsense D435 |
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches | Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal | Stanford University, Google DeepMind, Intrinsic | https://rt-sketch.github.io/ | Oral | Yes | No | Yes | Visual Imitation Learning, Goal-Conditioned Manipulation | Mobile Manipulator | - | RT-1 robot | - |
ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning | Joey Hejna, Chethan Anand Bhateja, Yichen Jiang, Karl Pertsch, Dorsa Sadigh | Stanford university, UC Berkeley | https://github.com/jhejna/remix | Oral | No | Yes | No | Data Curation, Data Quality, Robot Imitation Learning | dual arm | Robomimic | WindowX 250, Franka Panda | - |
HumanPlus: Humanoid Shadowing and Imitation from Humans | Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, Chelsea Finn | Stanford university | https://humanoid-ai.github.io/ | Poster | Yes | Yes | Yes | Humanoids, Learning from Human Data, Whole-Body Control | Humanoid | - | Unitree H1 | - |
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning | Zhecheng Yuan, Tianming Wei, Shuiqi Cheng, Gu Zhang, Yuanpei Chen, Huazhe Xu | Tsinghua University IIIS, Shanghai Jiao Tong University, The University of Hong Kong, Peking University, Shanghai Qi Zhi Institute, Shanghai AI Lab | https://gemcollector.github.io/maniwhere/ | Poster | Yes | Yes | Yes | Visual Generalization, Sim2real, Reinforcement Learning | Arm | MuJoCo | UR5, Franka Panda, XArm | realsense L515 |
ACE: A Cross-platform and visual-Exoskeletons System for Low-Cost Dexterous Teleoperation | Shiqi Yang, Minghuan Liu, Yuzhe Qin, Runyu Ding, Jialong Li, Xuxin Cheng, Ruihan Yang, Sha Yi, Xiaolong Wang | UC San Diego | https://ace-teleop.github.io/ | Poster | Yes | Yes | Yes | Teleopration System; Hardware; Imitation Learning; Robot Learning; Exoskeletons | Bimanual Arm | IsaacGym | Unitree H1, xArm7 | - |
Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer | Tyler Ga Wei Lum, Albert H. Li, Preston Culbertson, Krishnan Srinivasan, Aaron Ames, Mac Schwager, Jeannette Bohg | Stanford University, California Institute of Technology | https://sites.google.com/view/get-a-grip-dataset | Poster | Yes | Yes | Yes | Multi-Fingered Grasping, Large-Scale Grasp Dataset, Sim-to-Real | Arm | IsaacGym,Pybullet | Allegro hand, Franka Research 3 | ZED 2i |
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning | Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig | Berkeley AI Research, UC Berkeley | https://llarva24.github.io/ | Poster | Yes | Yes | Yes | LMMs, Vision Action Instruction Tuning, Robot Learning | Arm | CoppeliaSim, RLBench | Franka Panda | Logitech BRIO 4K |
Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping | Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas Guibas | Stanford University, Peking University | - | Poster | Yes | No | No | null | Arm | - | Shadow Dexterous Hand, UR10e | Femto Bolt |
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models | Jiafei Duan, Wentao Yuan, Wilbert Pumacay, Yi Ru Wang, Kiana Ehsani, Dieter Fox, Ranjay Krishna | University of Washington, NVIDIA, Allen Institute for Artifical Intelligence, Universidad Católica San Pablo | https://robot-ma.github.io/ | Poster | Yes | Yes | Yes | Robot Learning; Multimodal Large Language Model; Data Generation; Imitation Learning; Behavior Cloning | Arm | CoppeliaSim, RLBench | Franka Panda | Kinect 2 |
Detect Everything with Few Examples | Xinyu Zhang, Yuhan Liu, Yuting Wang, Abdeslam Boularias | Rutgers University | https://mlzxy.github.io/devit/ | Poster | Yes | Yes | Yes | Robot Vision, Object Detection and Recognition, Few-shot Learning | Arm | - | Kuka LBR iiwa | realsense |
Autonomous Interactive Correction MLLM for Robust Robotic Manipulation | Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong | Peking University, Chinese Academy of Sciences | - | Poster | Yes | No | No | large language model, robotics | Arm | - | Franka Panda | realsense D415 |
Implicit Grasp Diffusion: Bridging the Gap between Dense Prediction and Sampling-based Grasping | Pinhao Song, Pengteng Li, Renaud Detry | KU Leuven, Dept. Mechanical Engineering, Research unit Robotics, Automation and Mechatronics, KU Leuven, Dept. Electrical Engineering, Research unit Processing Speech and Images, HKUST (GZ), AI Thrust | https://gitlab.kuleuven.be/detry-lab/public/implicit-grasp-diffusion | Poster | No | Yes | No | Grasping, Implicit Neural Representations, Diffusion Models | Arm | Pybullet | Franka Research 3 | - |
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation | Chongkai Gao, Zhengrong Xue, Shuying Deng, Tianhai Liang, Siqi Yang, Lin Shao, Huazhe Xu | National Unversity of Singapore, Tsinghua University, Shanghai AI Lab , Shanghai Qi zhi Institute | null | Poster | Yes | Yes | Yes | SE(3)-Equivariance, Manipulation, Imitation Learning | Arm | SAPIEN | Franka Panda | realsense D435i |
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion | Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermuller, Yiannis Aloimonos, Heng Huang, Christopher Metzler | University of Maryland, College Park | https://tyxiong23.github.io/event3dgs | Poster | Yes | No | Yes | Event-based 3D Reconstruction, Gaussian Splatting, High-speed Robot Egomotion | quadrotor | - | quadrotor | Iphone 13 pro max |
Generative Image as Action Models | Mohit Shridhar, Yat Long Lo, Stephen James | Dyson Robot Learning Lab | https://genima-robot.github.io/ | Poster | Yes | Yes | Yes | Diffusion Models, Image Generation, Behavior Cloning, Visuomotor | Arm | CoppeliaSim, RLBench | Franka Panda | realsense D415 |
Continuous Control with Coarse-to-fine Reinforcement Learning | Younggyo Seo, Jafar Uruç, Stephen James | Dyson Robot Learning Lab | https://younggyo.me/cqn/ | Poster | Yes | Yes | Yes | Reinforcement Learning, Sample-Efficient, Action Discretization | Arm | CoppeliaSim, RLBench | UR5e, Robotiq 2F-140 | realsense D435i |
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction in Robotics | Wentao Yuan, Jiafei Duan, Valts Blukis, Wilbert Pumacay, Ranjay Krishna, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox | University of Washington, NVIDIA, Allen Institute for Artifical Intelligence, Universidad Católica San Pablo | https://robo-point.github.io/ | Poster | Yes | Yes | Yes | Foundation Model, Affordance Prediction, Open-world Manipulation | Arm, Mobile | CoppeliaSim | Franka Panda | - |
Twisting Lids Off with Two Hands | Toru Lin, Zhao-Heng Yin, Haozhi Qi, Pieter Abbeel, Jitendra Malik | UC Berkeley | https://toruowo.github.io/bimanual-twist/ | Poster | Yes | No | Yes | Bimanual Manipulation, Sim-to-Real, Reinforcement Learning | Bimanual Arm | IsaacGym | UR5e, Allegro Hands | realsense D435 |
General Flow as Foundation Affordance for Scalable Robot Learning | Chengbo Yuan, Chuan Wen, Tong Zhang, Yang Gao | institute for Interdisciplinary Information Sciences, Tsinghua University, Shanghai Artificial Intelligence Laboratory, Shanghai Qi Zhi Institute | https://general-flow.github.io/ | Poster | Yes | Yes | Yes | Flow, Transferable Affordance, Scalability | Arm | - | Franka Panda | realsense D455 |
TaMMa: Target-driven Multi-subscene Mobile Manipulation | Jiawei Hou, Tianyu Wang, Tongying Pan, Shouyan Wang, Xiangyang Xue, Yanwei Fu | Fudan University | - | Poster | Yes | No | No | Multi-subscene, 3D Gaussians, Scene Inpainting, Target-driven Mobile Manipulation | Mobile Manipulator | - | Franka Panda, SLAMTEC Hermes | realsense D435 |
Control with Patterns: A D-learning Method | Quan Quan, Kai-Yuan Cai, Chenyu Wang | Beihang University | - | Poster | Yes | No | No | Lyapunov Methods, Reinforcement Learning, Control with Patterns, D-learning, Visual Servoing | multicopter | RflySim | Tello EDU | on-board |
Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects | Yizhou Chen, Yiting Zhang, Zachary Brei, Tiancheng Zhang, Yuzhen Chen, Julie Wu, Ram Vasudevan | University of Michigan | https://roahmlab.github.io/DEFORM/ | Poster | Yes | Yes | Yes | Deformable Linear Objects Modeling, Physics-Informed Learning, Differentiable Simulation | Arm | PyBullet | Franka Panda, Kinova gen3 | OptiTrack, Azure Kinect DK, |
ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data | Zeyi Liu, Cheng Chi, Eric Cousineau, Naveen Kuppuswamy, Benjamin Burchfiel, Shuran Song | Stanford University, Columbia University, Toyota Research Institute | https://maniwav.github.io/ | Poster | Yes | Yes | Yes | Robot Manipulation, Imitation Learning, Audio | Arm | - | UR5 | GoPro, Elgato HD60 X |
Large Scale Mapping of Indoor Magnetic Field by Local and Sparse Gaussian Processes | Iad ABDUL-RAOUF, Vincent Gay-Bellile, Cyril JOLY, Steve Bourgeois, Alexis Paljic | Universite Paris-Saclay, Centre de Robotique, MINES ParisTech, Universite PSL | https://github.com/CEA-LIST/large-scale-magnetic-mapping | Poster | Yes | No | No | Gaussian process regression, magnetic field maps, indoor localization | - | - | - | SBG-Ellipse-N rigidly, FLIR Blackfly S cameras |
JA-TN: Pick-and-Place Towel Shaping from Crumpled States based on TransporterNet with Joint-Probability Action Inference | Halid Abdulrahim Kadi, Kasim Terzić | University of St Andrews | - | Poster | Yes | No | No | Cloth Manipulation, Imitation Learning, Sim2Real Transfer | Arm | SoftGym | UR3e | realsense D435i |
Legolas: Deep Leg-Inertial Odometry | Justin Wasserman, Ananye Agarwal, Rishabh Jangir, Girish Chowdhary, Deepak Pathak, Abhinav Gupta | University of Illinois at Urbana-Champaign, Carnegie Mellon University | https://learned-odom.github.io/ | Poster | Yes | Yes | No | State and Odometry Estimation, Quadruped robots, Sim-to-Real | quadruped | IsaacGym | Unitree go2, DEEP Robotics Lite3 | RTK-GPS |
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning | Li-Heng Lin, Yuchen Cui, Amber Xie, Tianyu Hua, Dorsa Sadigh | Stanford University | https://flow-retrieval.github.io/ | Poster | Yes | Yes | Yes | Data Retrieval, Few-shot Learning, Imitation Learning | Arm | robomimic, LIBERO | Franka Panda | - |
JointMotion: Joint Self-Supervision for Joint Motion Prediction | Royden Wagner, Omer Sahin Tas, Marvin Klemp, Carlos Fernandez | Karlsruhe Institute of Technology, FZI Research Center for Information Technology | https://github.com/kit-mrt/future-motion | Poster | Yes | Yes | No | Self-supervised learning, representation learning, multimodal pre-training, motion prediction, data-efficient learning | autonomus vehicle | - | - | - |
Provably Safe Online Multi-Agent Navigation in Unknown Environments | Zhan Gao, Guang Yang, Jasmine Bayrooti, Amanda Prorok | University of Cambridge | - | Poster | Yes | No | No | Decentralized Multi-Agent Navigation, Unknown Environment, Support Vector Machine, Graph Attention Learning, Control Barrier Function | Multi-agent systems | - | - | - |
Modeling the Real World with High-Density Visual Particle Dynamics | William F Whitney, Jake Varley, Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani | Google DeepMind | https://sites.google.com/view/hd-vpd | Poster | Yes | Yes | No | point clouds, particle dynamics, world models for control, Performers | Bimanual Arm | - | Kuka iiwa | realsense D415, realsense D405 |
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection | Huang-Yu Chen, Jia-Fong Yeh, Jiawei, Pin-Hsuan Peng, Winston H. Hsu | National Taiwan University, MobileDrive | https://github.com/Coolshanlan/DDFH-active-3Ddet | Poster | Yes | No | Yes | Active Learning, LiDAR 3D Object Detection, Autonomous Driving | autonomus vehicle | - | - | - |
Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation | Jan Bruedigam, Ali Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru, Stefan Georg Sosnowski, Jiuguang Wang, Sandra Hirche, Simon Le Cleac'h | TU Munich, Boston Dynamics AI Institute | https://jacta-manipulation.github.io/ | Poster | Yes | Yes | No | Dexterous Manipulation Planning, Learning with Demonstrations | quadruped | - | spot | OptiTrack |
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving | Thomas Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone | NVIDIA, University of California, UC Berkeley, University of Southern California, Stanford University | https://thomasrantian.github.io/TOKEN_MM-LLM_for_AutoDriving/ | Poster | Yes | Yes | No | Multi-modal LLM, Autonomous Driving, Representation Alignment | autonomus vehicle | - | - | - |
Online Transfer and Adaptation of Tactile Skill: A Teleoperation Framework | Xiao Chen, Tianle Ni, Kübra Karacan, Hamid Sadeghian, Sami Haddadin | Munich Institute of Robotics and Machine Intelligence, Technical University of Munich | - | Poster | Yes | No | No | Learning from Demonstration, Online Adaptation, Tactile Skill, Teleoperation, Autonomy Allocation | Arm | - | Franka Panda | - |
ANAVI: Audio Noise Awareness using Visual of Indoor environments for NAVIgation | Vidhi Jain, Rishi Veerapaneni, Yonatan Bisk | Carnegie Mellon University | https://anavi-corl24.github.io/ | Poster | Yes | Yes | Yes | Robots, Acoustic Noise, Vision, Learning | quadruped, Mobile Manipulator | Habitat 2.0 | Hello Robot Stretch, Unitree Go2 | - |
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation | Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, David Fan, Wenshan Wang, Sebastian Scherer | Carnegie Mellon University Robotics Institute, Field AI | - | Poster | Yes | No | No | Field Robotics, Self-Supervised Learning, Visual Foundation Models | autonomus vehicle | - | - | - |
Adaptive Language-Guided Abstraction from Contrastive Explanations | Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu | MIT, Princeton, The AI Institute | - | Poster | Yes | No | No | reward learning, language-guided abstraction, reward features | quadruped | PyBullet | spot | - |
Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision | Alberta Longhini, Marcel Büsching, Bardienus Pieter Duisterhof, Jens Lundell, Jeffrey Ichnowski, Mårten Björkman, Danica Kragic | KTH Royal Institute of Technology, Carnegie Mellon University | https://kth-rpl.github.io/cloth-splatting/ | Poster | Yes | Yes | Yes | 3D State Representations, Gaussian Splatting, Deformable Objects, Vision-based Tracking | Arm | NVIDIA Flex | Franka Panda | realsense D435 |
OrbitGrasp: SE(3)-Equivariant Grasp Learning | Boce Hu, Xupeng Zhu, Dian Wang, Zihao Dong, Haojie Huang, Chenghao Wang, Robin Walters, Robert Platt | Northeastern University, Boston Dynamics AI Institute | https://orbitgrasp.github.io/ | Poster | Yes | Yes | Yes | Grasp Detection, Equivariance, Symmetry, Grasp Learning | Arm | PyBullet | UR5, Robotiq 85 | realsense D455 |
Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning | Bartłomiej Cieślar, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Jorge Mendez-Mendez | CSAIL MIT, Stony Brook University | - | Poster | Yes | No | No | task and motion planning, long-horizon, learning for planning | Arm | PyBullet | - | - |
Reasoning Grasping via Multimodal Large Language Model | Shiyu Jin, JINXUAN XU, Yutian Lei, Liangjun Zhang | Baidu Research, Rutgers University | https://reasoning-grasping.github.io/ | Poster | Yes | Yes | No | Robotics Grasping, Multimodal Large Language Model | Arm | - | Franka Panda | Azure Kinect |
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations | Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki | Carnegie Mellon University | https://3d-diffuser-actor.github.io/ | Poster | Yes | Yes | Yes | Diffusion models, 3D representations, manipulation, imitation learning | Arm | CoppeliaSim, RLBench | Franka Panda | Azure Kinect |
EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning | Jingyun Yang, Ziang Cao, Congyue Deng, Rika Antonova, Shuran Song, Jeannette Bohg | Stanford University | https://equi-bot.github.io/ | Poster | Yes | Yes | Yes | Imitation Learning, Equivariance, Data Efficiency | Mobile Manipulator | PyBullet | Kinova Gen3 | ZED 2 |
Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures | Kensuke Nakamura, Thomas Tian, Andrea Bajcsy | Carnegie Mellon University, UC Berkeley | https://cmu-intentlab.github.io/not-all-errors/ | Poster | Yes | Yes | No | Human-Robot Interaction, Trajectory Prediction, Failure Detection | mobile | BITS | LoCoBot | realsense D455, RPLIDAR A2 |
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning | Yixiao Wang, Yifei Zhang, Mingxiao Huo, Thomas Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka | University of California, UC Berkeley, Carnegie Mellon University | https://forrest-110.github.io/sparse_diffusion_policy/ | Poster | Yes | Yes | No | Robot Policy, Multitask, Continual learning, Mixture of Experts | Arm | MimicGen | FANUC LRMate 200iD/7L | - |
Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications | Joe Eappen, Zikang Xiong, Dipam Patel, Aniket Bera, Suresh Jagannathan | Purdue University | https://www.jeappen.com/mastl-gcbf-website/ | Poster | Yes | Yes | Yes | Multi-Robot Systems, Path Planning for Multiple Mobile Robots or Agents, Collision Avoidance, Hybrid Logical/Dynamical Planning and Verification, Deep Learning Methods | multicopter | - | DJI Tello | - |
Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions | Zhenyu Jiang, Yuqi Xie, Jinhan Li, Ye Yuan, Yifeng Zhu, Yuke Zhu | The University of Texas at Austin, NVIDIA Research | https://ut-austin-rpl.github.io/Harmon/ | Poster | Yes | Yes | No | Humanoid Robot, Whole-Body Motion Generation | Humanoid | IsaacSim | Fourier GR1 | - |
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks | Nelson Chen, Kun Wang, William R. Johson III, Rebecca Kramer-Bottiglio, Kostas Bekris, Mridul Aanjaneya | Rutgers University, Amazon Robotics, Yale University | https://github.com/nchen9191/tensegrity_gnn_simulator_public/tree/main/simulators | Poster | Yes | No | Yes | graph neural networks, differentiable simulation, tensegrity robots | Tensegrity | MuJoCo | - | - |
DeliGrasp: Inferring Object Properties with LLMs for Adaptive Grasp Policies | William Xie, Maria Valentini, Jensen Lavering, Nikolaus Correll | University of Colorado at Boulder | https://deligrasp.github.io/ | Poster | Yes | Yes | Yes | contact-rich manipulation, adaptive grasping, force control, produce manipulation | Gripper | - | Dynamixel AX-12 | realsense D405 |
SoftManiSim: A Fast Simulation Framework for Multi-Segment Continuum Manipulators Tailored for Robot Learning | Mohammadreza Kasaei, Hamidreza Kasaei, Mohsen Khadem | University of Edinburgh, University of Groningen, | https://github.com/MohammadKasaei/SoftManiSim | Poster | Yes | No | Yes | Simulation Framework, Soft Robotics, Mathematical Modelling, Robot Learning | Continuum Manipulator | PyBullet | Self Created | - |
Learning to Look: Seeking Information for Decision Making via Policy Factorization | Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martín-Martín | The University of Texas at Austin, Sony AI | https://robin-lab.cs.utexas.edu/learning2look/ | Poster | Yes | Yes | No | Active Vision, Manipulation, Interactive Perception | Mobile Manipulator | - | TIAGo | - |
VIRL: Self-Supervised Visual Graph Inverse Reinforcement Learning | Lei Huang, Weijia Cai, Zihan Zhu, Chen Feng, Helge Rhodin, Zhengbo Zou | Columbia University, Brown University,New York University, University of British Columbia | https://leihhhuang.github.io/VIRL/ | Poster | Yes | Yes | No | Inverse Reinforcement Learning, Learning from Video, Graph Network | Arm | MimicGen | xArm 6 | realsense D435 |
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction | Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff | Technical University of Munich, Stanford University | https://sites.google.com/view/text2interaction/ | Poster | Yes | Yes | Yes | Human-Robot Interaction, Human Preference Learning, Task and Motion Planning, Safe Control | Arm | - | Franka Research 3 | - |
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? | Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tianhe Yu, Chelsea Finn, Karol Hausman | Stanford University, Google DeepMind | https://kayburns.github.io/segmentingfeatures/ | Poster | Yes | Yes | Yes | representation learning, manipulation, visual features | Arm | franka kitchen, MetaWorld | - | - |
Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure | Skand Skand, Bikram Pandit, Chanho Kim, Li Fuxin, Stefan Lee | Oregon State University | https://pvskand.github.io/projects/RME | Poster | Yes | Yes | No | Reinforcement Learning, Robustness, Sensorimotor Learning | bipedal | ManiSkill2 | Cassie | - |
Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation | Tong Zhang, Yingdong Hu, Jiacheng You, Yang Gao | Tsinghua University, Shanghai Qi Zhi Institute, Shanghai Artificial Intelligence Laboratory | https://sgrv2-robot.github.io/ | Poster | Yes | Yes | Yes | Robotic Manipulation, Sample Efficiency | Arm | CoppeliaSim | Franka Panda | realsense L515 |
Bimanual Dexterity for Complex Tasks | Kenneth Shaw, Yulong Li, Jiahui Yang, Mohan Kumar Srirama, Ray Liu, Haoyu Xiong, Russell Mendonca, Deepak Pathak | Carnegie Mellon University | https://bidex-teleop.github.io/ | Poster | Yes | Yes | Yes | Dexterous Manipulation, Bimanual, Behavior Cloning | Bimanual Arm | - | XArm 6, LEAP Hand | Apple Vision Pro |
Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance | Mitsuhiko Nakamoto, Oier Mees, Aviral Kumar, Sergey Levine | UC Berkeley, Carnegie Mellon University, Google DeepMind | https://nakamotoo.github.io/V-GPS/ | Poster | Yes | Yes | No | generalist policies, value functions, robot reinforcement learning | Arm | SIMPLER | WindowX 250 | - |
MBC: Multi-Brain Collaborative Control for Quadruped Robots | Hang Liu, Yi Cheng, Rankun Li, Xiaowen Hu, Linqi Ye, Houde Liu | Tsinghua University, University of Michigan, Shanghai University | https://quad-mbc.github.io/ | Poster | Yes | Yes | No | Quadruped Robots, Perception Fails, Multi-Brain Collaborative | quadruped | IsaacGym | Unitree go2 | - |
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation | Vivek Myers, Chunyuan Zheng, Oier Mees, Kuan Fang, Sergey Levine | University of California, UC Berkeley | https://palo-website.github.io/ | Poster | Yes | Yes | Yes | Reinforcement Learning, Vision-Language Models, Manipulation | Arm | - | WindowX 250 | - |
Trajectory Improvement and Reward Learning from Comparative Language Feedback | Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell, Anca Dragan, Erdem Biyik | University of Southern California, University of California, UC Berkeley | https://liralab.usc.edu/comparative-language-feedback/ | Poster | Yes | Yes | Yes | Learning from Human Language Feedback, Reward Learning, Human-Robot Interaction | Arm | Robosuite, MetaWorld | WindowX 250 | - |
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands | Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler | Max Planck Institute for Intelligent Systems, Aalto University , University of Southern California , University of Oulu | https://rp1m.github.io/ | Poster | Yes | Yes | Yes | Bi-manual dexterous robot hands, dataset for robot piano playing, imitation learning, robot learning at scale | Bimanual Arm | robopianist | - | - |
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior | Ruihan Yang, Zhuoqun Chen, Jianhan Ma, Chongyi Zheng, Yiyu Chen, Quan Nguyen, Xiaolong Wang | UC San Diego, Carnegie Mellon University, USC | https://rchalyang.github.io/VIM/ | Poster | Yes | Yes | No | Legged Robots, Imitation Learning, Agile Locomotion | quadruped | WASABI(Isaac Gym) | unitree a1 | - |
Visual Manipulation with Legs | Xialin He, Chengjing Yuan, Wenxuan Zhou, Ruihan Yang, David Held, Xiaolong Wang | University of Illinois Urbana-Champaign, UC San Diego, Carnegie Mellon University | https://legged-manipulation.github.io/ | Poster | Yes | Yes | No | Legged robots, Non-prehensile manipulation, Reinforcement Learning | quadruped | IsaacGym | unitree a1 | - |
Learning Visual Parkour from Generated Images | Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John Leonard, Phillip Isola | MIT CSAIL, Institute of AI and Fundamental Interactions (IAIFI) | https://lucidsim.github.io/ | Poster | Yes | Yes | Yes | Generative AI, Simulation, Legged Locomotion, Sensory Motor-learning | quadruped | MuJoCo | unitree go1 | - |
Q-SLAM: Quadric Representations for Monocular SLAM | Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan | UC Berkeley, NVIDIA | - | Poster | Yes | No | No | Neural Radiance Fields, Simultaneous Localization and Mapping | Mobile | Replica,ScanNet,TUM RGB-D | - | - |
Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents | Jinyeon Kim, Cheolhong Min, Byeonghwi Kim, Jonghyun Choi | Seoul National University, Yonsei University | https://pred-agent.github.io/ | Poster | Yes | Yes | Yes | Replanning, Environmental Feedback, Brain plasticity, Embodied AI | Arm | ALFRED, TEACh | UR5, on-robot gripper | - |
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving | Kairui Ding, Boyuan Chen, Yuchen Su, Huan-ang Gao, Bu Jin, Chonghao Sima, Xiaohui Li, Wuqiang Zhang, Paul Barsch, Hongyang Li, Hao Zhao | Institute for AI Industry Research (AIR), Tsinghua University, Mercedes-Benz Group China Ltd. Xingjian College, Tsinghua University, OpenDriveLab, Shanghai AI Lab | https://air-discover.github.io/Hint-AD/ | Poster | Yes | Yes | Yes | Interpretability, Language alignment, Autonomous driving | autonomus vehicle | nuScenes | - | - |
TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and Proprioception Estimation | Junli Ren, Yikai Liu, Yingru Dai, Junfeng Long, Guijin Wang | Department of Electronic Engineering,Tsinghua University,ShanghaiTech University | https://top-nav-legged.github.io/TOP-Nav-Legged-page/ | Poster | Yes | Yes | No | Navigation, Task Planning, Reinforcement Learning | quadruped | IsaacGym | unitree go1,unitree go2 | realsense D435i |
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation | Aadhithya Iyer, Zhuoran Peng, Yinlong Dai, Irmak Guzey, Siddhant Haldar, Soumith Chintala, Lerrel Pinto | New York University, Meta | https://open-teach.github.io/ | Poster | Yes | Yes | Yes | Teleoperation, Robot Learning, Robotic Manipulation | Bimanual Arm | IsaacGym, LIBERO, Allegro Sim | Franka Panda, Allegro Hand, Kinova Jaco,xArm7, Hello Stretch | - |
Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope | Haodi Hu, Feifei Qian, Daniel Seita | University of Southern California | https://sites.google.com/view/grain-corl2024/home | Poster | Yes | Yes | Yes | Granular media, Avalanche dynamics, Legged robots. | quadruped | - | Self Created | - |
Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks | Jialiang Zhao, Yuxiang Ma, Lirui Wang, Edward Adelson | MIT CSAIL | https://t3.alanz.info/ | Poster | Yes | Yes | Yes | Tactile Sensing, Representation Learning, Heterogeneous Learning, Robot Manipulation, Robot Learning | Arm | - | Franka Panda, 3-axis CNC mill | GelSight, Digit |
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