Chenhao Li

収録論文 32本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• EgoHTR: Egocentric 4D Demonstrations of Human Terrain Traversal
  2026/7/1
• DeformX: A Versatile Co-Simulation Framework for Deformable Linear Objects
  2026/6/1
• Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion
  2026/5/24
• Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion
  2026/5/1
• Morphology-Conditioned World Model for Cross-Embodiment Quadrupedal Locomotion
  2026/4/9
• PAINT: Partner-Agnostic Intent-Aware Cooperative Transport with Legged Robots
  2026/4/1
• Toward Hardware-Agnostic Quadrupedal World Models via Morphology Conditioning
  2026/4/1
• Model-Based Reinforcement Learning for Control under Time-Varying Dynamics
  2026/4/1
• Learning Whole-Body Humanoid Locomotion via Motion Generation and Motion Tracking
  2026/4/1
• What Matters for Simulation to Online Reinforcement Learning on Real Robots
  2026/2/1
• Scaling Rough Terrain Locomotion with Automatic Curriculum Reinforcement Learning
  2026/1/1
• Multi-Domain Motion Embedding: Expressive Real-Time Mimicry for Legged Robots
  2025/12/1
• Learning Soft Robotic Dynamics with Active Exploration
  2025/10/1
• Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why
  2025/7/1
• Constrained Style Learning from Imperfect Demonstrations under Task Optimality
  2025/7/1
• Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
  2025/6/19
• Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
  2025/6/1
• Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility
  2025/5/1
• Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
  2025/4/23
• Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
  2025/4/1
• NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models
  2025/3/13
• NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models
  2025/3/1
• Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
  2025/2/3
• DFM: Deep Fourier Mimic for Expressive Dance Motion Learning
  2025/2/1
• Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
  2025/2/1
• Learning More With Less: Sample Efficient Model-Based RL for Loco-Manipulation
  2025/1/1
• Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
  2025/1/1
• Neural Predictor for Flight Control with Payload
  2024/10/1
• FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
  2024/2/1
• Learning Diverse Skills for Local Navigation under Multi-constraint Optimality
  2023/10/1
• Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions
  2022/9/1
• Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations
  2022/6/1