个人简介
南方科技大学工学博士,主要研究方向为视触觉感知机理与机器人灵巧操作。他在机器人多模态感知与生成式学习方面取得了重要成果,包括基于形变图像的六维力估计和跨模态视触觉感知与自适应力抓取(AIS 2023封面论文)。其最新研究聚焦于水下环境基于机器人触觉的三维物体形貌重建,相关成果发表于IEEE T-RO 2024。此外,他在IROS 2024机器人灵巧操作挑战赛中荣获最快系统方案奖,并曾参与无人仓储、智能码垛等工业自动化项目的研发。
My research focuses on multi-modality and real-world deployable embodied intelligence. I am particularly interested in integrating tactile manipulation, deformable simulation, and perception to develop robust solutions for robot manipulation tasks. My work aims to advance the field of soft robotics and enable intelligent systems to operate effectively in complex, real-world environments.
研究方向
机器人多模态感知 (Robot Multimodal Perception)
触觉灵巧操作 (Tactile Dexterous Manipulation)
机器人学习 (Robot Learning)
发表论文
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2025 RAP
Lessons Learned From the euROBIN Manipulation Skill Versatility Challenge At IROS 2024
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2025 Adv. Intell. Syst.
Anchoring Morphological Representations Unlocks Latent Proprioception in Soft Robots
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2024 T-RO
Proprioceptive State Estimation for Amphibious Tactile Sensing
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2024 Adv. Intell. Syst. (Cover)
Reconstructing Soft Robotic Touch via In-Finger Vision
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2024 Meas.
On flange-based 3D hand–eye calibration for soft robotic tactile welding
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2024 Adv. Intell. Syst. (Front Cover)
Autoencoding a Soft Touch to Learn Grasping from On‐Land to Underwater
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2023 Biomimetics
Bio-Inspired Proprioceptive Touch of a Soft Finger with Inner-Finger Kinesthetic Perception
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2022 Front. Robot. AI
DeepClaw 2.0: A Data Collection Platform for Learning Human Manipulation
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2021 Front. Robot. AI
Rigid–Soft Interactive Design of a Lobster-Inspired Finger Surface for Enhanced Grasping Underwater
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2021 CoRL
Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness
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2021 RoboSoft
Lobster-inspired Finger Surface Design for Grasping with Enhanced Robustness