Robotics
Robot learning and control
Top Papers
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Songming Liu, Lingxuan Wu, Bangguo Li et al.
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
Xavier Puig, Eric Undersander, Andrew Szot et al.
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation
Guanxing Lu, Shiyi Zhang, Ziwei Wang et al.
RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete
Yuheng Ji, Huajie Tan, Jiayu Shi et al.
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
Jingkang Yang, Yuhao Dong, Shuai Liu et al.
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
Jiafei Duan, Wilbert Pumacay, Nishanth Kumar et al.
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
Sergio Gómez Colmenarejo, Jost Springenberg, Jose Enrique Chen et al.
TLControl: Trajectory and Language Control for Human Motion Synthesis
WEILIN WAN, Zhiyang Dou, Taku Komura et al.
MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception
Thien-Minh Nguyen, Shenghai Yuan, Thien Nguyen et al.
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
Guy Tevet, Sigal Raab, Setareh Cohan et al.
Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology
Xiangyu Wang, Donglin Yang, ziqin wang et al.
OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
Han Liang, Jiacheng Bao, Ruichi Zhang et al.
Digital Life Project: Autonomous 3D Characters with Social Intelligence
Zhongang Cai, Jianping Jiang, Zhongfei Qing et al.
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
Danny Driess, Jost Springenberg, Brian Ichter et al.
OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
Mingjie Pan, Jiyao Zhang, Tianshu Wu et al.
VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation
Wei Zhao, Pengxiang Ding, Zhang Min et al.
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation
Siyuan Huang, Liliang Chen, Pengfei Zhou et al.
VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation
Hanzhi Chen, Boyang Sun, Anran Zhang et al.
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati, Tal Daniel, Aviv Tamar
RLIF: Interactive Imitation Learning as Reinforcement Learning
Jianlan Luo, Perry Dong, Yuexiang Zhai et al.
OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning
Xiaoqiang Wang, Bang Liu
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets
Guangqi Jiang, Yifei Sun, Tao Huang et al.
Robust Tracking via Mamba-based Context-aware Token Learning
Jinxia Xie, Bineng Zhong, Qihua Liang et al.
Domain Prompt Learning with Quaternion Networks
Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.
STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning
Marius Memmel, Jacob Berg, Bingqing Chen et al.
ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning
Hongyin Zhang, Zifeng Zhuang, Han Zhao et al.
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Michael Matthews, Michael Beukman, Chris Lu et al.
Hierarchical World Models as Visual Whole-Body Humanoid Controllers
Nick Hansen, Jyothir S V, Vlad Sobal et al.
Pre-training Auto-regressive Robotic Models with 4D Representations
Dantong Niu, Yuvan Sharma, Haoru Xue et al.
TASTE-Rob: Advancing Video Generation of Task-Oriented Hand-Object Interaction for Generalizable Robotic Manipulation
Hongxiang Zhao, Xingchen Liu, Mutian Xu et al.
Cross-Embodiment Dexterous Grasping with Reinforcement Learning
Haoqi Yuan, Bohan Zhou, Yuhui Fu et al.
Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation
Jiaming Zhou, Teli Ma, Kun-Yu Lin et al.
ThinkBot: Embodied Instruction Following with Thought Chain Reasoning
Guanxing Lu, Ziwei Wang, Changliu Liu et al.
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
Yoonyoung Cho, Junhyek Han, Yoontae Cho et al.
Programmable Motion Generation for Open-Set Motion Control Tasks
Hanchao Liu, Xiaohang Zhan, Shaoli Huang et al.
ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY
Chenrui Tie, Yue Chen, Ruihai Wu et al.
SAFE: Multitask Failure Detection for Vision-Language-Action Models
Qiao Gu, Yuanliang Ju, Shengxiang Sun et al.
DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
Xia Jiang, Yaoxin Wu, Chenhao Zhang et al.
JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups
Simindokht Jahangard, Zhixi Cai, Shiki Wen et al.
RoboTron-Mani: All-in-One Multimodal Large Model for Robotic Manipulation
Feng yan, Fanfan Liu, Yiyang Huang et al.
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
Jiyuan Shi, Xinzhe Liu, Dewei Wang et al.
TANGO: Training-free Embodied AI Agents for Open-world Tasks
Filippo Ziliotto, Tommaso Campari, Luciano Serafini et al.
AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
Yuanfei Wang, Xiaojie Zhang, Ruihai Wu et al.
Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration
Zhixuan Shen, Haonan Luo, Kexun Chen et al.
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
Connor Schenck, Isaac Reid, Mithun Jacob et al.
Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper
Xinyue Zhu, Binghao Huang, Yunzhu Li
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chongyi Zheng, Benjamin Eysenbach, Homer Walke et al.
RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving
Zhijian Huang, Chengjian Feng, Baihui Xiao et al.
RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Yiran Qin, Li Kang, Xiufeng Song et al.
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
Zhihao Cao, ZiDong Wang, Siwen Xie et al.
Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
Dongyoung Kim, Huiwon Jang, Sumin Park et al.
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
Tai Hoang, Huy Le, Philipp Becker et al.
Tartan IMU: A Light Foundation Model for Inertial Positioning in Robotics
Shibo Zhao, Sifan Zhou, Raphael Blanchard et al.
UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning
Xiangyu Wang, Donglin Yang, Yue Liao et al.
RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training
Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun et al.
Generating Freeform Endoskeletal Robots
Muhan Li, Lingji Kong, Sam Kriegman
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation
Yangtao Chen, Zixuan Chen, Junhui Yin et al.
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning
Siyuan Li, Feifan Liu, Lingfei Cui et al.
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning
Borong Zhang, Yuhao Zhang, Jiaming Ji et al.
Learning Cross-hand Policies of High-DOF Reaching and Grasping
Qijin She, Shishun Zhang, Yunfan Ye et al.
The Bandit Whisperer: Communication Learning for Restless Bandits
Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj et al.
ROICtrl: Boosting Instance Control for Visual Generation
Yuchao Gu, Yipin Zhou, Yunfan Ye et al.
Racing Control Variable Genetic Programming for Symbolic Regression
Nan Jiang, Yexiang Xue
Rethinking Bimanual Robotic Manipulation: Learning with Decoupled Interaction Framework
Jian-Jian Jiang, Xiao-Ming Wu, Yi-Xiang He et al.
Lift3D Policy: Lifting 2D Foundation Models for Robust 3D Robotic Manipulation
Yueru Jia, Jiaming Liu, Sixiang Chen et al.
Scaffolding Dexterous Manipulation with Vision-Language Models
Vincent de Bakker, Joey Hejna, Tyler Lum et al.
Learning Physics Informed Neural ODEs with Partial Measurements
Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba et al.
Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
Xiaomeng Xu, Yifan Hou, Zeyi Liu et al.
Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation
Fangyuan Wang, Shipeng Lyu, Peng Zhou et al.
PhysRig: Differentiable Physics-Based Skinning and Rigging Framework for Realistic Articulated Object Modeling
Hao Zhang, Haolan Xu, Chun Feng et al.
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
Xiao Han, Zijian Zhang, Xiangyu Zhao et al.
PRIMAL: Physically Reactive and Interactive Motor Model for Avatar Learning
Yan Zhang, Yao Feng, Alpár Cseke et al.
Learning to Navigate Efficiently and Precisely in Real Environments
Guillaume Bono, Hervé Poirier, Leonid Antsfeld et al.
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
Shun Iwase, Muhammad Zubair Irshad, Katherine Liu et al.
MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration
Yishuai Cai, Xinglin Chen, Zhongxuan Cai et al.
Control-oriented Clustering of Visual Latent Representation
Han Qi, Haocheng Yin, Heng Yang
Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation
Wenbo Zhang, Tianrun Hu, Hanbo Zhang et al.
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner
Aizierjiang Aiersilan
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang et al.
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction
Mykhaylo Andriluka, Baruch Tabanpour, Daniel Freeman et al.
Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation
Xiaoqi Li, Lingyun Xu, Mingxu Zhang et al.
Let Humanoids Hike! Integrative Skill Development on Complex Trails
Kwan-Yee Lin, Stella X. Yu
Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images
Hongyu Yan, Yadong Mu
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
Yunyue Wei, Shanning Zhuang, Vincent Zhuang et al.
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
Xin Wen, Bingchen Zhao, Yilun Chen et al.
RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case
Baihui Xiao, Chengjian Feng, Zhijian Huang et al.
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
Letian Chen, Nina Moorman, Matthew Gombolay
Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control
Zijie Xu, Tong Bu, Zecheng Hao et al.
Convergent Functions, Divergent Forms
Hyeonseong Jeon, Ainaz Eftekhar, Aaron Walsman et al.
Angular Steering: Behavior Control via Rotation in Activation Space
Minh Hieu Vu, Tan Nguyen
4D Visual Pre-training for Robot Learning
Chengkai Hou, Yanjie Ze, Yankai Fu et al.
Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments
YIYAO MA, Kai Chen, Hon-Sing Tong et al.
Data Center Cooling System Optimization Using Offline Reinforcement Learning
Xianyuan Zhan, Xiangyu Zhu, Peng Cheng et al.
Reasoning in Visual Navigation of End-to-end Trained Agents: A Dynamical Systems Approach
Steeven JANNY, Hervé Poirier, Leonid Antsfeld et al.
RoboTron-Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning, and Prediction
Yufeng Zhong, Chengjian Feng, Feng yan et al.
Deep learning for continuous-time stochastic control with jumps
Patrick Cheridito, Jean-Loup Dupret, Donatien Hainaut
CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems
Long Wei, Haodong Feng, Yuchen Yang et al.
Learning system dynamics without forgetting
Xikun ZHANG, Dongjin Song, Yushan Jiang et al.
VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation
Kuo-Han Hung, Pang-Chi Lo, Jia-Fong Yeh et al.
Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
Sanghyun Ahn, Wonje Choi, Junyong Lee et al.