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Yan Pan

Assistant professor

Research Direction:
Legged robot, Robot dynamics, Robot force&torque control
E-mail:
pany@sustech.edu.cn
Yan Pan

Dr. Pan studied mechanical engineering and received his PhD degree in 2014 from Shanghai Jiaotong University. From 2014 to 2016 Dr. Pan had been a post-doctoral fellow in the same university. His research interests have been focused on legged robots, including control, modeling and theory of robot dynamics. He has built more than 20 prototypes, the results were published on the front page for peer reviewed journals like Robotica and Chinese Journal of Mechanical Engineering. 22 papers were published since 2012 including the top journal Mechanism and Machine Theory. He has applied more than 35 patents. His research work has attracted interests from all over the world: MIT Technology Review, Nature and MSC Software have reported his robots.

Research interest:
Legged Robot: biped, quadruped and hexapod robots
Robot Dynamics: general modeling methodology based on screw theory
Force&Torque Control: control strategy and robot real-time operating system

Work experiences:
2019 –present, Assistant Professor, Southern University of Science and Technology of China
2018-2019, CEO, Kaanh Robotic Limited Corporation
2016-2018, CTO, Shanghai New Century Limited Corporation
2015-2016, Visiting Scholar, Bournemouth University
2014-2016, Postdoctoral Fellow, Shanghai Jiaotong University

Education background
2014, Ph.D., Mechanical Engineering, Shanghai Jiaotong University
2009, B.S., Mechanical Engineering, Zhejiang University
 

Awards:
Best prototype for Shanghai Aerospace Systems Engineering
Best poster for Mars-talk
Best presentation for Intelligent Manufacture of Shanghai Jiaotong University

Publication Highlights: 
1.Yang, P. and F. Gao (2012). Kinematical model and topology patterns of a new 6-parallel-legged walking robot. ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers.

2.Pan, Y. and F. Gao (2013). Payload capability analysis of a new kind of parallel leg hexapod walking robot. Proceedings of the 2013 International Conference on Advanced Mechatronic Systems, IEEE.

3.Zhao, X., et al. (2013). Force-Position Hybrid Control of a New Parallel Hexapod Robot for Drilling Holes on Fuselage Surface. ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers.

4.Pan, Y. and F. Gao (2014). Kinematic performance analysis for hexapod mobile robot using parallel mechanism. ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers.

5.Pan, Y. and F. Gao (2014). Mechanism topology design for novel parallel-parallel hexapod robot. 2014 UKACC International Conference on Control (CONTROL), IEEE.

6.Pan, Y. and F. Gao (2014). "A new six-parallel-legged walking robot for drilling holes on the fuselage." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228(4): 753-764.

7.Du, H., et al. (2014). Fault tolerant gaits for a six-legged robot with one locked or uncontrollable failure. ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers.

8.Yang, P. and F. Gao (2014). "Leg kinematic analysis and prototype experiments of walking-operating multifunctional hexapod robot." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228(12): 2217-2232.

9.Xu, Y., et al. (2015). A Ground Contact Detection Method for a Six-Legged Robot by Motor Current. Proceedings of the 14th IFToMM World Congress, 國立臺灣大學機械系.

10.Fu, J., et al. (2015). "Forward kinematics solutions of a special six-degree-of-freedom parallel manipulator with three limbs." Advances in Mechanical Engineering 7(5): 1687814015582118.

11.Hui, D., et al. (2015). "Kinematic analysis and design of a novel 6-degree of freedom parallel robot." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229(2): 291-303.

12.Chai, X., et al. (2015). "A novel identification methodology for the coordinate relationship between a 3d vision system and a legged robot." Sensors 15(4): 9519-9546.

13.Chai, X., et al. (2015). Autonomous gait planning for a hexapod robot in unstructured environments based on 3D terrain perception. The 14th International Federation for the Promotion of Mechanism and Machine Science World Congress (IFToMM), Taipei, Taiwan.

14.Pan, Y., et al. (2016). "Fault tolerance criteria and walking capability analysis of a novel parallel-parallel hexapod break walking robot." Robotica 34(3): 619-633.

15.Pan, Y., et al. (2016). "Human-tracking strategies for a six-legged rescue robot based on distance and view." Chinese Journal of Mechanical Engineering 29(2): 219-230.

16.Tian, Y., et al. (2016). Task-Based Control Strategies and the Implementation for a Six-Legged Multi-tasked Robot. Advances in Reconfigurable Mechanisms and Robots II, Springer: 939-950.

17.Xu, Y., et al. (2016). "Method for six-legged robot stepping on obstacles by indirect force estimation." Chinese Journal of Mechanical Engineering 29(4): 669-679.

18.Chai, X., et al. (2017). "Obstacle avoidance for a hexapod robot in unknown environment." Science China Technological Sciences 60(6): 818-831.

19.Chen, Z.-J., et al. (2017). "Novel door-opening method for six-legged robots based on only force sensing." Chinese Journal of Mechanical Engineering 30(5): 1227-1238.

20.Pan, Y. and F. Gao (2017). "Position model computational complexity of walking robot with different parallel leg mechanism topology patterns." Mechanism and Machine Theory 107: 324-337.

21.Xu, Y., et al. (2017). "Hexapod adaptive gait inspired by human behavior for six-legged robot without force sensor." Journal of Intelligent & Robotic Systems 88(1): 19-35.