Longchuan Li头像

Longchuan Li

Associate Professor Trainee

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  • Department: Information Science and Technology
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Introduction

Longchuan Li received his Ph.D. degree from Japan Advanced Institute of Science and Technology in 2019. He worked as a postdoctoral researcher and assistant professor at Ritsumeikan University from 2019 to 2022. He is currently an Associate Professor in the School of Information Science and Technology at Beijing University of Chemical Technology and has been recognized as one of the '100 Young Talents' by Beijing University of Chemical Technology. 


Education

Work Experience

Social Position

Social Activities

Research

Longchuan Li pioneered interdisciplinary research that integrates locomotion robotics and nonlinear dynamics, publishing over 20 high-quality academic papers. His research interests include robot locomotion modeling, morphological computation, and the analysis of nonlinear dynamics. Based on these works, he successfully obtained the Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS) in 2021. Additionally, he served as a committee member for IROS 2022 and acts as a reviewer for several high-quality journals and top conferences. Furthermore, he has won the Best Paper Award at several international conferences and has guided students to win various awards.


Teaching

Postgraduates

Funding

Vertical Project

Horizontal Project

Publications

1.      Longchuan Li, Shuqian He, Qiukai Qi, Jianing Zeng, Shuai Kang, Gen Endo, Hiroyuki Nabae, Shugen Ma, Koichi Suzumori, “PEGrip: A Plant-Tendril-Inspired Passive Entanglement Gripper Enabling Fail-Safe Grasping,” IEEE Robotics and Automation Letters, Vol. 9, Iss. 8, pp. 7039 - 7046, 2024.

2.      Longchuan Li, Chaoyue Zhao, Shuqian He, Qiukai Qi, Shuai Kang, Shugen Ma, “Enhancing undulation of soft robots in granular media: A numerical and experimental study on the effect of anisotropic scales,”Biomimetic Intelligence and Robotics, Vol. 4, Iss. 2, pp. 100158, 2024.

3.      Longchuan Li, Shugen Ma*, Isao Tokuda, Fumihiko Asano, Makoto Nokata, Yang Tian, Liang Du, “Generation of efficient rectilinear gait based on dynamic morphological computation and its theoretical analysis,” IEEE Robotics and Automation Letters, Vol. 6, Iss. 2, pp. 841-848, 2021.

4.      Longchuan Li, Isao Tokuda*, Fumihiko Asano, “Energy-efficient locomotion generation and theoretical analysis of a quasi-passive dynamic walker,” IEEE Robotics and Automation Letters, Vol. 5, Iss. 3, pp. 4305-4312, 2020.

5.      Longchuan Li*, Fumihiko Asano, Isao Tokuda, “High-speed sliding locomotion generation on slippery surface of an indirectly controlled robot with viscoelastic body,” IEEE Robotics and Automation Letters, Vol.4, Iss. 3, pp. 2950-2957, 2019.

6.      Longchuan Li*, Fumihiko Asano, Isao Tokuda, “High-frequency vibration of leg masses for improving gait stability of compass walking on slippery downhill,” Journal of Robotics and Mechatronics, Vol.31, No. 4, 2019.

7.      Longchuan Li, Shugen Ma, Isao Tokuda, Yang Tian, Yiming Cao, Makoto Nokata, Zhiqing Li, “Embodying Rather Than Encoding: Undulation with Binary Input,” Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1196-1201, 2022.

8.      Longchuan Li, Shugen Ma, Isao Tokuda, Makoto Nokata, Yang Tian, Liang Du, Zhiqing Li, “A Mathematical Design for a Novel Walking Support Device That Leverages Passive Dynamics and Coupling Effects,” Proceedings of the 2020 IEEE International Conference on Robotics and Automation, pp. 200-206 2022.

9.      Longchuan Li, Shugen Ma, Isao Tokuda, Fumihiko Asano, Makoto Nokata, Yang Tian, Liang Du, “Synergetic Effect between Limbs and Spine Dynamics in Quadruped Walking Robots,” Proceedings of the 2021 IEEE International Conference on Robotics and Automation, pp. 6818-6823, 2021

10.  Longchuan Li, Isao Tokuda and Fumihiko Asano, “Optimal fast entrainment waveform for indirectly controlled limit cycle walker against external disturbances,” Proceedings of the 2020 IEEE International Conference on Robotics and Automation, pp. 3458-3463, 2020.


Awards

Patent

Honor Reward

Admissions Information