่‡ช2022ๅนด1ๆœˆ่‡ณไปŠ๏ผŒๅŠ ๅ…ฅๅ—ๆ–น็ง‘ๆŠ€ๅคงๅญฆๅˆ›ๆ–ฐๅˆ›ๆ„่ฎพ่ฎกๅญฆ้™ข๏ผŒๆ‹…ไปปๅŠฉ็†ๆ•™ๆŽˆใ€ๅšๅฃซ็ ”็ฉถ็”Ÿๅฏผๅธˆ๏ผŒ็ป„ๅปบๆœบๅ™จๆ™บ่ƒฝ่ฎพ่ฎกไธŽๅญฆไน ๅฎž้ชŒๅฎค๏ผŒ่Žทๆ‰นๆทฑๅœณๅธ‚้นๅŸŽๅญ”้›€็‰น่˜ๅฒ—ไฝ๏ผŒๆ˜ฏIEEEไผšๅ‘˜ใ€Design Societyไผšๅ‘˜๏ผŒไปปICRA 2024/2025 ๅ‰ฏ็ผ–ๅง”ใ€‚็›ฎๅ‰ไธป่ฆ็ ”็ฉถๅŸบไบŽๆ–ฐไธ€ไปฃไบบๅทฅๆ™บ่ƒฝๆŠ€ๆœฏ็š„ๆœบๅ™จไบบไปฟ็”Ÿๆ„Ÿ็ŸฅๅŽŸ็†๏ผŒๆๅ‡บไปฅ่ง†่งฆ่žๅˆๆ„Ÿ็Ÿฅไธบๆ ธๅฟƒ็š„ๆŠ€ๆœฏๆ‰‹ๆฎต๏ผŒๅผ€ๅ‘ๆŸ”ๆ€ง่ถ…ๆๆ–™ๅŠ›่งฆ่ง‰ๆ„Ÿ็Ÿฅๆ–ฐ่ฎพ่ฎก๏ผŒๅฎž็Žฐ็ฒพ็ป†ๅŠ›่งฆ่ง‰็š„่‡ช้€‚ๅบ”ไบคไบ’ไธŽๆ„Ÿ็Ÿฅ๏ผ›ไปฅๆœบๅ™จไบบๅญฆไน ็ฎ—ๆณ•ไธบๅŸบ็ก€๏ผŒ็ ”็ฉถไบบๆœบไบคไบ’ไธŽ็‰ฉๅ“ๆ“ๆŽง่ฟ‡็จ‹ไธญ็š„ๅˆšๆŸ”่€ฆๅˆ้—ฎ้ข˜๏ผŒๅฎž็ŽฐๆŸ”ๆ€ง่ถ…ๆๆ–™็š„ๅŠ›่งฆ่ง‰ๆœบๅ™จๆ™บ่ƒฝใ€‚2009ๅนดๆฏ•ไธšไบŽๅŽไธญ็ง‘ๆŠ€ๅคงๅญฆๅบ”็”จๆ•ฐๅญฆ็ณป่Žทๅพ—ๆœฌ็ง‘ๅญฆไฝ๏ผŒ2014ๅนดๆฏ•ไธšไบŽๆ–ฐๅŠ ๅกๅ—ๆด‹็†ๅทฅๅคงๅญฆๆ•ฐๅญฆไธŽ็‰ฉ็†ๅญฆ้™ข่Žทๅพ—ๅšๅฃซๅญฆไฝใ€‚่ฟ‘ไบ”ๅนด๏ผŒไธปๆŒๅ›ฝ่‡ช็ง‘้’ๅนด้กน็›ฎใ€ๆ•™่‚ฒ้ƒจๅๅŒ่‚ฒไบบ้กน็›ฎใ€ๅนฟไธœ็œ่‡ช็ง‘้ขไธŠ้กน็›ฎใ€ๆทฑๅœณๅธ‚็จณๅฎšๆ”ฏๆŒ่ฎกๅˆ’้ขไธŠ้กน็›ฎ๏ผŒๅ‚ไธŽ็ง‘ๆŠ€้ƒจ้‡็‚น็ ”ๅ‘้กน็›ฎใ€ๆทฑๅœณๅธ‚ๆŠ€ๆœฏๆ”ปๅ…ณ้‡็‚น้กน็›ฎใ€ๆทฑๅœณๅธ‚้‡็‚นๅฎž้ชŒๅฎค้กน็›ฎใ€‚่ฃ่Žท2023ๅนดIEEE CASEไผš่ฎฎๆœ€ไฝณ่ฎบๆ–‡ๅฅ–๏ผˆๅŒป็–—่‡ชๅŠจๅŒ–ๆ–นๅ‘๏ผ‰ใ€2023ๅนดIEEE ICARMไผš่ฎฎๆœ€ไฝณ่ฎบๆ–‡ๅ…ฅๅ›ดๅฅ–ใ€‚ๅทฒ่Žทๅพ—1้กน็พŽๅ›ฝๅ‘ๆ˜Žไธ“ๅˆฉใ€12้กนๅ›ฝๅฎถๅ‘ๆ˜Žไธ“ๅˆฉใ€3้กนๅฎž็”จๆ–ฐๅž‹ไธ“ๅˆฉๆŽˆๆƒใ€‚ๅœจๅŒ…ๆ‹ฌThe International Journal of Robotics Research (IJRR)ใ€IEEE Transactions on Robotics (TRO)ใ€Conference on Robot Learning (CoRL)ใ€IEEE International Conference on Robotics and Automation (IEEE ICRA)็ญ‰ไบบๅทฅๆ™บ่ƒฝไธŽๆœบๅ™จไบบ้กถ็บงๆœŸๅˆŠไธŽๅ›ฝ้™…ไผš่ฎฎไธŠๅ‘่กจ้ซ˜ๆฐดๅนณ่ฎบๆ–‡40ไฝ™็ฏ‡ใ€‚ๆ‹…ไปปใ€Šไบบๅทฅๆ™บ่ƒฝไธŽ่ฎพ่ฎกใ€‹ใ€ใ€Šๆ•ฐๆฎ่ฎพ่ฎกไธŽๅญฆไน ใ€‹ใ€ใ€Šๆœบๅ™จไบบ่ฎพ่ฎก็ง‘ๅญฆไธŽ็คพไผšไปทๅ€ผใ€‹ไธ‰้—จ่ฏพ็จ‹็š„่ดฃไปปๆ•™ๅธˆใ€‚


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 bachelorโ€™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). Iโ€™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. โ€œUnderwater 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. โ€œReconfigurable 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. โ€œJigsaw-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. โ€œScalable 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. โ€œBridging 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. โ€œComputational 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. โ€œOverconstrained 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. โ€œAn Overconstrained Robotic Leg with Coaxial Quasi-direct Drives for Omni-directional Ground Mobility.โ€ IEEE International Conference on Robotics and Automation (ICRA), Xiโ€™an, China, 2021, pp. 11477-11484.
DOI: https://doi.org/10.1109/ICRA48506.2021.9561829