Chong Zhang
収録論文 22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
- Learning Whole-Body Humanoid Locomotion via Motion Generation and Motion Tracking2026/4/1
- FLASH: Fast Learning via GPU-Accelerated Simulation for High-Fidelity Deformable Manipulation in Minutes2026/4/1
- AME-2: Agile and Generalized Legged Locomotion via Attention-Based Neural Map Encoding2026/1/1
- A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method2025/6/1
- Attention-Based Map Encoding for Learning Generalized Legged Locomotion2025/6/1
- Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics2025/1/1
- WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts2024/6/1
- OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning2024/6/1
- Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers2024/5/1
- Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation2024/3/1
- Learning Highly Dynamic Behaviors for Quadrupedal Robots2024/2/1
- Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion2024/1/1
- Learning Agile Locomotion on Risky Terrains2023/11/1
- Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End2023/10/1
- Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models2023/8/1
- Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals2023/8/1
- Learning Ball-balancing Robot Through Deep Reinforcement Learning2022/8/1
- Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype via Terrain Authoring and Active Learning2022/8/1
- Custom Sine Waves Are Enough for Imitation Learning of Bipedal Gaits with Different Styles2022/4/1
- Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal Walking from Infeasible References2021/12/1
- Accessibility-Based Clustering for Efficient Learning of Locomotion Skills2021/9/1
- DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration2021/2/1