自2022年1月至今，加入南方科技大学创新创意设计学院，担任助理教授、博士研究生导师，组建机器智能设计与学习实验室，获批深圳市鹏城孔雀特聘岗位，是IEEE会员、Design Society会员，任ICRA 2024/2025 副编委。目前主要研究基于新一代人工智能技术的机器人仿生感知原理，提出以视触融合感知为核心的技术手段，开发柔性超材料力触觉感知新设计，实现精细力触觉的自适应交互与感知；以机器人学习算法为基础，研究人机交互与物品操控过程中的刚柔耦合问题，实现柔性超材料的力触觉机器智能。2009年毕业于华中科技大学应用数学系获得本科学位，2014年毕业于新加坡南洋理工大学数学与物理学院获得博士学位。近五年，主持国自科青年项目、教育部协同育人项目、广东省自科面上项目、深圳市稳定支持计划面上项目，参与科技部重点研发项目、深圳市技术攻关重点项目、深圳市重点实验室项目。荣获2023年IEEE CASE会议最佳论文奖（医疗自动化方向）、2023年IEEE ICARM会议最佳论文入围奖。已获得1项美国发明专利、12项国家发明专利、3项实用新型专利授权。在包括The International Journal of Robotics Research (IJRR)、IEEE Transactions on Robotics (TRO)、Conference on Robot Learning (CoRL)、IEEE International Conference on Robotics and Automation (IEEE ICRA)等人工智能与机器人顶级期刊与国际会议上发表高水平论文40余篇。担任《人工智能与设计》、《数据设计与学习》、《机器人设计科学与社会价值》三门课程的责任教师。
I am an Assistant Professor at the School of Design at Southern University of Science and Technology (SUSTech) since January 2022, leading the Machine Intelligence Design and Learning Lab (mainDL Lab). I am a member of the Design Society and IEEE. My research is focused on designing and learning bio-inspired perception and interaction using artificial intelligence. I graduated from Huazhong University of Science and Technology (HUST) in 2009 with a bachelor’s degree in Applied Mathematics. Then, I graduated from Nanyang Technological University (NTU) in 2014 with a Doctoral degree in Mathematics and Physics. I have led 4 projects including the National Natural Science Foundation Youth Project, the Ministry of Education Collaborative Education Project. I have co-authored over 40 high-quality papers in top AI and robotics journals and conferences, including The International Journal of Robotics Research, IEEE Transactions on Robotics, the Conference on Robot Learning (CoRL), and the IEEE International Conference on Robotics and Automation (ICRA). I’m also the lead instructor of three courses, including AI in Design, Design and Learning with Data, and Designing Robots for Social Good.
WAN, Fang, Ph.D.
Assistant Professor
Machine Intelligence Design + Learning Lab
Southern University of Science and Technology
Level 3, Block C1, Nashan Wisdom Park,
1001 Xueyuan Road, Shenzhen, Guangdong 518055, China
wanf@sustech.edu.cn
0086-(0)755-8801-2849
(2023) Yuqin Guo#, Rongzheng Zhang#, Wanghongjie Qiu, Harry Asada, Fang Wan* and Chaoyang Song. “Underwater Intention Recognition using Head Motion and Throat Vibration for Supernumerary Robotic Assistance.” IEEE International Conference on Automation Science and Engineering (CASE). Auckland, New Zealand, on 26 – 30 August 2023.
DOI: https://doi.org/10.1109/CASE56687.2023.10260480
Award: IEEE RAS Travel Grant (Rongzheng Zhang) | About the Award
Award: Best Healthcare Automation Paper Award | About the Award
(2023) Jiayu Huo#, Jingran Wang#, Yuqin Guo, Wanghongjie Qiu, Mingdong Chen, Harry Asada, Fang Wan*, and Chaoyang Song. “Reconfigurable Design and Modeling of an Underwater Superlimb for Diving Assistance.” Advanced Intelligent Systems, 2300245. (Back Cover)
DOI: https://doi.org/10.1002/aisy.202300245
(2023) Xiaobo Liu#, Fang Wan#*, Sheng Ge, Haokun Wang, Haoran Sun, and Chaoyang Song. “Jigsaw-based Benchmarking for Learning Robotic Manipulation.” The IEEE International Conference on Advanced Robotics and Mechatronics (ICARM). Sanya, China, 8-10 July 2023, pp. 124-130.
DOI: https://doi.org/10.1109/ICARM58088.2023.10218784
Awards: Best Conference Paper Finalist
(2022) Fang Wan, Xiaobo Liu, Ning Guo, Xudong Han, Feng Tian, and Chaoyang Song. “Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger.” Proceedings of the 5th Conference on Robot Learning (CoRL), PMLR 164: 1269-1278.
URL: https://proceedings.mlr.press/v164/wan22a.html
(2023) Haoran Sun#, Linhan Yang#, Yuping Gu, Jia Pan*, Fang Wan*, and Chaoyang Song. “Bridging Locomotion and Manipulation Using Reconfigurable Robotic Limbs via Reinforcement Learning.” Biomimetics, 8(4), 364.
DOI: https://doi.org/10.3390/biomimetics8040364
(2023) Yuping Gu, Ziqian Wang, Shihao Feng, Haoran Sun, Haibo Lu, Jia Pan*, Fang Wan*, and Chaoyang Song. “Computational Design Towards Energy Efficient Optimization in Overconstrained Robotic Limbs.” Journal of Computational Design and Engineering, 10(5): 1941-1956. DOI: https://doi.org/10.1093/jcde/qwad083
(2022) Yuping Gu, Shihao Feng, Yuqin Guo, Fang Wan, Jian S. Dai, Jia Pan, and Chaoyang Song. “Overconstrained Coaxial Design of Robotic Legs with Omni-directional Locomotion.” Mechanism and Machine Theory, 176: 105018.
DOI: https://doi.org/10.1016/j.mechmachtheory.2022.105018
(2021) Shihao Feng, Yuping Gu, Weijie Guo, Yuqin Guo, Fang Wan, Jia Pan, and Chaoyang Song. “An Overconstrained Robotic Leg with Coaxial Quasi-direct Drives for Omni-directional Ground Mobility.” IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, 2021, pp. 11477-11484.
DOI: https://doi.org/10.1109/ICRA48506.2021.9561829