่ช2022ๅนด1ๆ่ณไป๏ผๅ ๅ ฅๅๆน็งๆๅคงๅญฆๅๆฐๅๆ่ฎพ่ฎกๅญฆ้ข๏ผๆ ไปปๅฉ็ๆๆใๅๅฃซ็ ็ฉถ็ๅฏผๅธ๏ผ็ปๅปบๆบๅจๆบ่ฝ่ฎพ่ฎกไธๅญฆไน ๅฎ้ชๅฎค๏ผ่ทๆนๆทฑๅณๅธ้นๅๅญ้็น่ๅฒไฝ๏ผๆฏIEEEไผๅใDesign Societyไผๅ๏ผไปปICRA 2024/2025 ๅฏ็ผๅงใไธป่ฆ็ ็ฉถๆนๅไธบๅ ท่บซๆบ่ฝ๏ผไปฅๆบๅจไบบๅญฆไน ็ฎๆณไธบๅบ็ก๏ผ็ ็ฉถๆบๅจไบบ่ง่งฆ่งใ็ตๅทงๆๆงใ่ฟๅจๆงๅถไปฅๅไบบๆบไบคไบ็ญใ2009ๅนดๆฏไธไบๅไธญ็งๆๅคงๅญฆๅบ็จๆฐๅญฆ็ณป่ทๅพๆฌ็งๅญฆไฝ๏ผ2014ๅนดๆฏไธไบๆฐๅ ๅกๅๆด็ๅทฅๅคงๅญฆๆฐๅญฆไธ็ฉ็ๅญฆ้ข่ทๅพๅๅฃซๅญฆไฝใ่ฟไบๅนด๏ผไธปๆๅฝๅฎถ่ช็ถ็งๅญฆๅบ้้ๅนดไปฅๅ้ขไธ้กน็ฎใๆ่ฒ้จๅๅ่ฒไบบ้กน็ฎใๅนฟไธ็่ช็ง้ขไธ้กน็ฎใๆทฑๅณๅธ็จณๅฎๆฏๆ่ฎกๅ้ขไธ้กน็ฎ๏ผๅไธ็งๆ้จ้็น็ ๅ้กน็ฎใๆทฑๅณๅธๆๆฏๆปๅ ณ้็น้กน็ฎใๆทฑๅณๅธ้็นๅฎ้ชๅฎค้กน็ฎใ่ฃ่ท2023ๅนดIEEE CASEไผ่ฎฎๆไฝณ่ฎบๆๅฅ๏ผๅป็่ชๅจๅๆนๅ๏ผใ2023ๅนดIEEE ICARMไผ่ฎฎๆไฝณ่ฎบๆๅ ฅๅดๅฅใๅทฒ่ทๆๆ1้กน็พๅฝๅๆไธๅฉใ17้กนๅฝๅฎถๅๆไธๅฉใๅจๅ ๆฌThe International Journal of Robotics Research (IJRR)ใIEEE Transactions on Robotics (TRO)ใConference on Robot Learning (CoRL)ใRobotics: Science and Systems (RSS)ใIEEE International Conference on Robotics and Automation (IEEE ICRA)็ญไบบๅทฅๆบ่ฝไธๆบๅจไบบ้กถ็บงๆๅไธๅฝ้ ไผ่ฎฎไธๅ่กจ้ซๆฐดๅนณ่ฎบๆ50ไฝ็ฏใๆ ไปปใไบบๅทฅๆบ่ฝไธ่ฎพ่ฎกใใใๆฐๆฎ่ฎพ่ฎกไธๅญฆไน ใใใๆบๅจไบบ่ฎพ่ฎก็งๅญฆไธ็คพไผไปทๅผใไธ้จ่ฏพ็จ็่ดฃไปปๆๅธใ
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 primary research area is embodied intelligence. Building on robot learning algorithms, my research focuses on robotic vision and tactile perception, dexterous manipulation, motion control, and humanโrobot interaction. I graduated from Huazhong University of Science and Technology (HUST) in 2009 with a bachelorโs 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 several research projects, including the National Natural Science Foundation Youth Project and General Project, and the Ministry of Education Collaborative Education Project. I have co-authored over 50 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), Robotics: Science and Systems (RSS), and the IEEE International Conference on Robotics and Automation (ICRA). Iโm 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. โUnderwater Intention Recognition using Head Motion and Throat Vibration for Supernumerary Robotic Assistance.โ IEEE International Conference on Automation Science and Engineering (CASE). Auckland, New Zealand, on 26 โ 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. โReconfigurable Design and Modeling of an Underwater Superlimb for Diving Assistance.โ 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. โJigsaw-based Benchmarking for Learning Robotic Manipulation.โ 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. โScalable Tactile Sensing for an Omni-adaptive Soft Robot Finger.โ 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. โBridging Locomotion and Manipulation Using Reconfigurable Robotic Limbs via Reinforcement Learning.โ 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. โComputational Design Towards Energy Efficient Optimization in Overconstrained Robotic Limbs.โ 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. โOverconstrained Coaxial Design of Robotic Legs with Omni-directional Locomotion.โ 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. โAn Overconstrained Robotic Leg with Coaxial Quasi-direct Drives for Omni-directional Ground Mobility.โ IEEE International Conference on Robotics and Automation (ICRA), Xiโan, China, 2021, pp. 11477-11484.
DOI: https://doi.org/10.1109/ICRA48506.2021.9561829