A Low-Complexity Linear Precoding Scheme Based on SOR Method for Massive MIMO Systems. - Tian Xie; Qian Han; Huazhe Xu; Zihao Qi; Wenqian Shen (VTC Spring, 2015)

Natural Language Object Retrieval. - Ronghang Hu; Huazhe Xu; Marcus Rohrbach; Jiashi Feng; Kate Saenko; Trevor Darrell (CVPR, 2016)

End-to-End Learning of Driving Models from Large-Scale Video Datasets. - Huazhe Xu; Yang Gao 029; Fisher Yu 001; Trevor Darrell (CVPR, 2017)

Modular Architecture for StarCraft II with Deep Reinforcement Learning. - Dennis Lee 003; Haoran Tang; Jeffrey O. Zhang; Huazhe Xu; Trevor Darrell; Pieter Abbeel (AIIDE, 2018)

Reinforcement Learning from Imperfect Demonstrations. - Yang Gao 029; Huazhe Xu; Ji Lin 002; Fisher Yu 001; Sergey Levine; Trevor Darrell (ICLR (Workshop), 2018)

Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees. - Huazhe Xu; Yuanzhi Li; Yuandong Tian; Trevor Darrell; Tengyu Ma 001 (CoRR, 2018)

Disentangling Propagation and Generation for Video Prediction. - Hang Gao; Huazhe Xu; Qi-Zhi Cai; Ruth Wang; Fisher Yu 001; Trevor Darrell (ICCV, 2019)

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. - Yuping Luo; Huazhe Xu; Yuanzhi Li; Yuandong Tian; Trevor Darrell; Tengyu Ma 001 (ICLR (Poster), 2019)

Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization. - Huazhe Xu; Boyuan Chen 003; Yang Gao 029; Trevor Darrell (CoRR, 2019)

Hierarchical Style-Based Networks for Motion Synthesis. - Jingwei Xu 005; Huazhe Xu; Bingbing Ni; Xiaokang Yang 001; Xiaolong Wang 004; Trevor Darrell (ECCV (11), 2020)

Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. - Yuping Luo; Huazhe Xu; Tengyu Ma 001 (ICLR, 2020)

Video Prediction via Example Guidance. - Jingwei Xu 005; Huazhe Xu; Bingbing Ni; Xiaokang Yang 001; Trevor Darrell (ICML, 2020)

Multi-Task Reinforcement Learning with Soft Modularization. - Ruihan Yang; Huazhe Xu; Yi Wu 013; Xiaolong Wang 004 (NeurIPS, 2020)

Multi-Agent Collaboration via Reward Attribution Decomposition. - Tianjun Zhang; Huazhe Xu; Xiaolong Wang 004; Yi Wu 013; Kurt Keutzer; Joseph E. Gonzalez; Yuandong Tian (CoRR, 2020)

BeBold: Exploration Beyond the Boundary of Explored Regions. - Tianjun Zhang; Huazhe Xu; Xiaolong Wang 004; Yi Wu 013; Kurt Keutzer; Joseph E. Gonzalez; Yuandong Tian (CoRR, 2020)

Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes. - Jiashun Wang; Huazhe Xu; Jingwei Xu 005; Sifei Liu; Xiaolong Wang 004 (CVPR, 2021)

Solving Compositional Reinforcement Learning Problems via Task Reduction. - Yunfei Li 005; Yilin Wu 003; Huazhe Xu; Xiaolong Wang 004; Yi Wu 013 (ICLR, 2021)

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. - Zhenggang Tang; Chao Yu 005; Boyuan Chen 003; Huazhe Xu; Xiaolong Wang 004; Fei Fang 001; Simon Shaolei Du; Yu Wang 002; Yi Wu 013 (ICLR, 2021)

PyTouch: A Machine Learning Library for Touch Processing. - Mike Lambeta; Huazhe Xu; Jingwei Xu 005; Po-Wei Chou; Shaoxiong Wang; Trevor Darrell; Roberto Calandra (ICRA, 2021)

Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation. - Huazhe Xu; Boyuan Chen 003; Yang Gao 029; Trevor Darrell (ICRA, 2021)

Multi-Person 3D Motion Prediction with Multi-Range Transformers. - Jiashun Wang; Huazhe Xu; Medhini Narasimhan; Xiaolong Wang 004 (NeurIPS, 2021)

NovelD: A Simple yet Effective Exploration Criterion. - Tianjun Zhang; Huazhe Xu; Xiaolong Wang 004; Yi Wu 013; Kurt Keutzer; Joseph E. Gonzalez; Yuandong Tian (NeurIPS, 2021)

Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation. - Minghao Zhang; Pingcheng Jian; Yi Wu 013; Huazhe Xu; Xiaolong Wang 004 (CoRR, 2021)

Learning Predictive Models for Efficient Policy Learning. - Huazhe Xu (2021)

See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. - Hao Li 076; Yizhi Zhang; Junzhe Zhu; Shaoxiong Wang; Michelle A. Lee; Huazhe Xu; Edward H. Adelson; Li Fei-Fei 001; Ruohan Gao; Jiajun Wu 001 (CoRL, 2022)

Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. - Ruihan Yang; Minghao Zhang; Nicklas Hansen 001; Huazhe Xu; Xiaolong Wang 004 (ICLR, 2022)

Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. - Yunfei Li 005; Tian Gao; Jiaqi Yang; Huazhe Xu; Yi Wu 013 (ICML, 2022)

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. - Ling Pan; Longbo Huang; Tengyu Ma 001; Huazhe Xu (ICML, 2022)

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. - Zhecheng Yuan; Guozheng Ma; Yao Mu 001; Bo Xia; Bo Yuan 003; Xueqian Wang 001; Ping Luo 002; Huazhe Xu (IJCAI, 2022)

Towards Learning to Play Piano with Dexterous Hands and Touch. - Huazhe Xu; Yuping Luo; Shaoxiong Wang; Trevor Darrell; Roberto Calandra (IROS, 2022)

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. - Can Chang; Ni Mu; Jiajun Wu 001; Ling Pan; Huazhe Xu (NeurIPS, 2022)

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. - Zhecheng Yuan; Zhengrong Xue; Bo Yuan; Xueqian Wang 001; Yi Wu 013; Yang Gao 029; Huazhe Xu (NeurIPS, 2022)

RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. - Haochen Shi; Huazhe Xu; Zhiao Huang; Yunzhu Li; Jiajun Wu 001 (Robotics: Science and Systems, 2022)

Scene Synthesis from Human Motion. - Sifan Ye; Yixing Wang; Jiaman Li; Dennis Park; C. Karen Liu; Huazhe Xu; Jiajun Wu 001 (SIGGRAPH Asia, 2022)

RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. - Haochen Shi; Huazhe Xu; Samuel Clarke; Yunzhu Li; Jiajun Wu 001 (CoRL, 2023)

Decision Transformer under Random Frame Dropping. - Kaizhe Hu; Ray Chen Zheng; Yang Gao 029; Huazhe Xu (ICLR, 2023)

Simple Emergent Action Representations from Multi-Task Policy Training. - Pu Hua; Yubei Chen; Huazhe Xu (ICLR, 2023)

Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. - Linfeng Zhao; Huazhe Xu; Lawson L. S. Wong (ICLR, 2023)

Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. - Ruijie Zheng; Xiyao Wang; Huazhe Xu; Furong Huang (ICLR, 2023)

On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. - Nicklas Hansen 001; Zhecheng Yuan; Yanjie Ze; Tongzhou Mu; Aravind Rajeswaran; Hao Su 001; Huazhe Xu; Xiaolong Wang 004 (ICML, 2023)

Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning. - Yunfei Li 005; Chaoyi Pan; Huazhe Xu; Xiaolong Wang 004; Yi Wu 013 (ICRA, 2023)

DTact: A Vision-Based Tactile Sensor that Measures High-Resolution 3D Geometry Directly from Darkness. - Changyi Lin; Ziqi Lin; Shaoxiong Wang; Huazhe Xu (ICRA, 2023)

USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation. - Zhengrong Xue; Zhecheng Yuan; Jiashun Wang; Xueqian Wang 001; Yang Gao 029; Huazhe Xu (ICRA, 2023)

Extraneousness-Aware Imitation Learning. - Ray Chen Zheng; Kaizhe Hu; Zhecheng Yuan; Boyuan Chen 003; Huazhe Xu (ICRA, 2023)

Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? - Jialu Gao; Kaizhe Hu; Guowei Xu 001; Huazhe Xu (NeurIPS, 2023)

CEIL: Generalized Contextual Imitation Learning. - Jinxin Liu; Li He; Yachen Kang; Zifeng Zhuang; Donglin Wang; Huazhe Xu (NeurIPS, 2023)

MoVie: Visual Model-Based Policy Adaptation for View Generalization. - Sizhe Yang; Yanjie Ze; Huazhe Xu (NeurIPS, 2023)

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. - Zhecheng Yuan; Sizhe Yang; Pu Hua; Can Chang; Kaizhe Hu; Huazhe Xu (NeurIPS, 2023)

H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation. - Yanjie Ze; Yuyao Liu; Ruizhe Shi; Jiaxin Qin; Zhecheng Yuan; Jiashun Wang; Huazhe Xu (NeurIPS, 2023)

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. - Ruijie Zheng; Xiyao Wang; Yanchao Sun; Shuang Ma; Jieyu Zhao 001; Huazhe Xu; Hal Daumé III; Furong Huang (NeurIPS, 2023)

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. - Zhecheng Yuan; Sizhe Yang; Pu Hua; Can Chang; Kaizhe Hu; Xiaolong Wang; Huazhe Xu (CoRR, 2023)

Generalizable Visual Reinforcement Learning with Segment Anything Model. - Ziyu Wang; Yanjie Ze; Yifei Sun; Zhecheng Yuan; Huazhe Xu (CoRR, 2023)

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 002; Huazhe Xu (CoRL, 2024)

GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs. - Pu Hua; Minghuan Liu; Annabella Macaluso; Yunfeng Lin; Weinan Zhang 001; Huazhe Xu; Lirui Wang (CoRL, 2024)

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning. - Zhecheng Yuan; Tianming Wei; Shuiqi Cheng; Gu Zhang; Yuanpei Chen; Huazhe Xu (CoRL, 2024)

Diffusion Reward: Learning Rewards via Conditional Video Diffusion. - Tao Huang; Guangqi Jiang; Yanjie Ze; Huazhe Xu (ECCV (42), 2024)

Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation. - Yuanchen Ju; Kaizhe Hu; Guowei Zhang; Gu Zhang; Mingrun Jiang; Huazhe Xu (ECCV (41), 2024)

DittoGym: Learning to Control Soft Shape-Shifting Robots. - Suning Huang; Boyuan Chen 003; Huazhe Xu; Vincent Sitzmann (ICLR, 2024)

Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. - Kun Lei; Zhengmao He; Chenhao Lu; Kaizhe Hu; Yang Gao 029; Huazhe Xu (ICLR, 2024)

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning. - Ruizhe Shi; Yuyao Liu; Yanjie Ze; Simon Shaolei Du; Huazhe Xu (ICLR, 2024)

GenSim: Generating Robotic Simulation Tasks via Large Language Models. - Lirui Wang; Yiyang Ling; Zhecheng Yuan; Mohit Shridhar; Chen Bao; Yuzhe Qin; Bailin Wang; Huazhe Xu; Xiaolong Wang 004 (ICLR, 2024)

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. - Xiyao Wang; Ruijie Zheng; Yanchao Sun; Ruonan Jia; Wichayaporn Wongkamjan; Huazhe Xu; Furong Huang (ICLR, 2024)

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. - Guowei Xu 001; Ruijie Zheng; Yongyuan Liang; Xiyao Wang; Zhecheng Yuan; Tianying Ji; Yu Luo; Xiaoyu Liu 003; Jiaxin Yuan; Pu Hua; Shuzhen Li; Yanjie Ze; et al. (ICLR, 2024)

ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. - Tianying Ji; Yongyuan Liang; Yan Zeng 002; Yu Luo; Guowei Xu 001; Jiawei Guo; Ruijie Zheng; Furong Huang; Fuchun Sun 001; Huazhe Xu (ICML, 2024)

Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic. - Tianying Ji; Yu Luo; Fuchun Sun 001; Xianyuan Zhan; Jianwei Zhang 001; Huazhe Xu (ICML, 2024)

Rethinking Transformers in Solving POMDPs. - Chenhao Lu; Ruizhe Shi; Yuyao Liu; Kaizhe Hu; Simon Shaolei Du; Huazhe Xu (ICML, 2024)

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts. - Yu Luo; Tianying Ji; Fuchun Sun 001; Jianwei Zhang 001; Huazhe Xu; Xianyuan Zhan (ICML, 2024)

Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL. - Yu Luo; Tianying Ji; Fuchun Sun 001; Jianwei Zhang 001; Huazhe Xu; Xianyuan Zhan (ICML, 2024)

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. - Ruijie Zheng; Yongyuan Liang; Xiyao Wang; Shuang Ma; Hal Daumé III; Huazhe Xu; John Langford 001; Praveen Palanisamy; Kalyan Shankar Basu; Furong Huang (ICML, 2024)

DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation. - Chenchang Li; Zihao Ai; Tong Wu; Xiaosa Li; Wenbo Ding 001; Huazhe Xu (ICRA, 2024)

A Wearable Robotic Hand for Hand-over-Hand Imitation Learning. - Dehao Wei; Huazhe Xu (ICRA, 2024)

ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch. - Zhengrong Xue; Han Zhang 058; Jingwen Cheng; Zhengmao He; Yuanchen Ju; Changyi Lin; Gu Zhang; Huazhe Xu (ICRA, 2024)

Learning Visual Quadrupedal Loco-Manipulation from Demonstrations. - Zhengmao He; Kun Lei; Yanjie Ze; Koushil Sreenath; Zhongyu Li 003; Huazhe Xu (IROS, 2024)

Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features. - Chengkai Hou; Zhengrong Xue; Bingyang Zhou; Jinghan Ke; Lin Shao 002; Huazhe Xu (NeurIPS, 2024)

Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. - Yongyuan Liang; Tingqiang Xu; Kaizhe Hu; Guangqi Jiang; Furong Huang; Huazhe Xu (NeurIPS, 2024)

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations. - Yanjie Ze; Gu Zhang; Kangning Zhang; Chenyuan Hu; Muhan Wang; Huazhe Xu (Robotics: Science and Systems, 2024)

Documenting Dunhuang Dance Using Motion Capture Technology. - Zeyu Wang 003; Chengan He; Zhe Yan; Jiashun Wang; Yingke Wang; Junhua Liu; Angela Shen; Mengying Zeng; Holly E. Rushmeier; Huazhe Xu; Borou Yu; Chenchen Lu; et al. (GCH, 2024)

OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation. - Yuerong Li; Zhengrong Xue; Huazhe Xu (WACV, 2024)

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. - Junting Chen; Yao Mu 001; Qiaojun Yu; Tianming Wei; Silang Wu; Zhecheng Yuan; Zhixuan Liang; Chao Yang 026; Kaipeng Zhang; Wenqi Shao; Yu Qiao 001; Huazhe Xu; et al. (CoRR, 2024)

3D Diffusion Policy. - Yanjie Ze; Gu Zhang; Kangning Zhang; Chenyuan Hu; Muhan Wang; Huazhe Xu (CoRR, 2024)

RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment. - Guoping Pan; Qingwei Ben; Zhecheng Yuan; Guangqi Jiang; Yandong Ji; Jiangmiao Pang; Houde Liu; Huazhe Xu (CoRR, 2024)

RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model. - Hantao Zhou; Tianying Ji; Jianwei Zhang 001; Fuchun Sun 001; Huazhe Xu (CoRR, 2024)

Catch It! Learning to Catch in Flight with Mobile Dexterous Hands. - Yuanhang Zhang; Tianhai Liang; Zhenyang Chen; Yanjie Ze; Huazhe Xu (CoRR, 2024)

On the Evaluation of Generative Robotic Simulations. - Feng Chen; Botian Xu; Pu Hua; Peiqi Duan; Yanchao Yang; Yi Ma; Huazhe Xu (CoRR, 2024)

DTactive: A Vision-Based Tactile Sensor with Active Surface. - Jikai Xu; Lei Wu; Changyi Lin; Ding Zhao; Huazhe Xu (CoRR, 2024)

MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning. - Suning Huang; Zheyu Zhang; Tianhai Liang; Yihan Xu; Zhehao Kou; Chenhao Lu; Guowei Xu 001; Zhengrong Xue; Huazhe Xu (CoRR, 2024)

RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks. - Haochen Shi; Huazhe Xu; Zhiao Huang; Yunzhu Li; Jiajun Wu 001 (Int. J. Robotics Res., 2024)

9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation. - Changyi Lin; Han Zhang 058; Jikai Xu; Lei Wu; Huazhe Xu (IEEE Robotics Autom. Lett., 2024)

Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation. - Yu Qi; Yuanchen Ju; Tianming Wei; Chi Chu; Lawson L. S. Wong; Huazhe Xu (CVPR, 2025)

Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. - Haoran He; Can Chang; Huazhe Xu; Ling Pan (ICLR, 2025)

Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion. - Kaizhe Hu; Zihang Rui; Yao He; Yuyao Liu; Pu Hua; Huazhe Xu (ICLR, 2025)

Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets. - Guangqi Jiang; Yifei Sun; Tao Huang; Huanyu Li 010; Yongyuan Liang; Huazhe Xu (ICLR, 2025)

DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo. - Junzhe Zhu; Yuanchen Ju; Junyi Zhang; Muhan Wang; Zhecheng Yuan; Kaizhe Hu; Huazhe Xu (ICLR, 2025)

World Models with Hints of Large Language Models for Goal Achieving. - Zeyuan Liu; Ziyu Huan; Xiyao Wang; Jiafei Lyu; Jian Tao; Xiu Li 001; Furong Huang; Huazhe Xu (NAACL (Long Papers), 2025)

DOGlove: Dexterous Manipulation with a Low-Cost Open-Source Haptic Force Feedback Glove. - Han Zhang; Songbo Hu; Zhecheng Yuan; Huazhe Xu (CoRR, 2025)

Fine-Tuning Hard-to-Simulate Objectives for Quadruped Locomotion: A Case Study on Total Power Saving. - Ruiqian Nai; Jiacheng You; Liu Cao; Hanchen Cui; Shiyuan Zhang; Huazhe Xu; Yang Gao 029 (CoRR, 2025)

DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning. - Zhengrong Xue; Shuying Deng; Zhenyang Chen; Yixuan Wang; Zhecheng Yuan; Huazhe Xu (CoRR, 2025)

Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation. - Han Xue; Jieji Ren; Wendi Chen; Gu Zhang; Yuan Fang; Guoying Gu; Huazhe Xu; Cewu Lu (CoRR, 2025)

Scaling Laws of Scientific Discovery with AI and Robot Scientists. - Pengsong Zhang 001; Heng Zhang 023; Huazhe Xu; Renjun Xu; Zhenting Wang; Cong Wang; Animesh Garg; Zhibin Li; Arash Ajoudani; Xinyu Liu 002 (CoRR, 2025)

FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots. - Botian Xu; Haoyang Weng; Qingzhou Lu; Yang Gao 029; Huazhe Xu (CoRR, 2025)

H3DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning. - Yiyang Lu; Yufeng Tian; Zhecheng Yuan; Xianbang Wang; Pu Hua; Zhengrong Xue; Huazhe Xu (CoRR, 2025)

Thought-Augmented Policy Optimization: Bridging External Guidance and Internal Capabilities. - Jinyang Wu; Chonghua Liao; Mingkuan Feng; Shuai Zhang 014; Zhengqi Wen; Pengpeng Shao; Huazhe Xu; Jianhua Tao 001 (CoRR, 2025)

RoboDuet: Learning a Cooperative Policy for Whole-Body Legged Loco-Manipulation. - Guoping Pan; Qingwei Ben; Zhecheng Yuan; Guangqi Jiang; Yandong Ji; Shoujie Li; Jiangmiao Pang; Houde Liu; Huazhe Xu (IEEE Robotics Autom. Lett., 2025)

DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration. - Lingxiao Guo; Zhengrong Xue; Zijing Xu; Huazhe Xu (CoRR, 2025)

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control. - Zilin Kang; Chenyuan Hu; Yu Luo; Zhecheng Yuan; Ruijie Zheng; Huazhe Xu (CoRR, 2025)

Morpheus: A Neural-driven Animatronic Face with Hybrid Actuation and Diverse Emotion Control. - Zongzheng Zhang; Jiawen Yang; Ziqiao Peng; Meng Yang; Jianzhu Ma; Lin Cheng; Huazhe Xu; Hang Zhao; Hao Zhao 002 (CoRR, 2025)