Research Areas: dynamic walking, biped and humanoid robots, robotic prosthesis, lower limb exoskeleton and human robot interaction
Prof. Chenglong Fu obtained his B.S. from the Department of Mechanical Engineering, Tongji University in 2002 and Ph.D. from the Department of Precision Instruments and Mechanology, Tsinghua University, in 2007. His research interests include dynamic walking, biped and humanoid robots, powered prosthesis, lower limb exoskeleton and human robot interaction. He is the principle investigator of more than 20 research projects, including 4 NSFC projects and 8 national defense projects. He has published more than 50 papers and 2 academic monographs, the most cited paper of him has been cited for more than 100 times, and he holds more than 20 granted patents. He is an associate editor of IEEE-RAS Humanoids 2018.
◆ 2002.09~2006.12，Ph.D. ME, Tsinghua University, Beijing, China
◆ 1998.09~2002.07，B.S. ME, Tongji University, Shanghai, China
◆ 2017.1 ~ present, Southern University of Science and Technology, Associate Professor of the Department of Mechanical and Energy Engineering
◆ 2010.12 ~ 2017.1, Tsinghua University, Associate Professor of the Department of Mechanical Engineering
◆ 2011.09~2012.09, University of Michigan (Ann Arbor), Visiting Scholar of the Department of Mechanical Engineering
◆ 2007.02~2010.12, Tsinghua University, Assistant Professor of the Department of Precise Instruments and Mechanology
◆ 2018, Neuro prosthesis technology innovation competition (lower limb group), the second place
◆ 2018, Neuro prosthesis technology innovation competition（single technology group）, the second place
◆ 2018，World Robot Contest -Tri-Co Robots Challenge (youth creative group), best collaboration team
◆ 2016, Excellent Mentor of Tsinghua University Challenge Cup（2014-2016）
◆ 2015, Teaching Contribution Reward in Tsinghua University（ME, 2013-2015）
◆ 2014, Excellent Mentor in Tsinghua University
◆ 2009, Excellent Class Advisor in Tsinghua University
◆ 2009, Teaching Excellence Award for Young Teachers in Tsinghua University
◆ 2007, Excellent Paper Award from the Chinese Mechanical Engineering Society
 Zhang L, Fu C*. Predicting Foot Placement for Balance through a Simple Model with Swing Leg Dynamics. Journal of Biomechanics, 77: 155-162, 2018.
 Wu Y, Wu Z, Fu C*. Continuous Arm Gesture Recognition Based on Natural Features and Logistic Regression. IEEE Sensors Journal, 2018 (accepted).
 Gao W, Jia Z, Fu C*. Increase the Feasible Step Region of Biped Robots through Active Vertical Flexion and Extension Motions. Robotica, 35(7): 1541-1561, 2017.
 Wu Y, Chen K, Fu C*. Effects of Load Connection Form on Efficiency and Kinetics of Biped Walking. ASME Journal of Mechanisms and Robotics, 8(6): 061015-061015-10, 2016.
 Wu Y, Chen K, Fu C*. Natural Gesture Modeling and Recognition Approach Based on Joint Movements and Arm Orientations. IEEE Sensors Journal, 16(21): 7753-7761, 2016.
 Fu C*, Wang J, Chen K, Yu Z, Huang Q. A Walking Control Strategy Combining Global Sensory Reflex and Leg Synchronization. Robotica, 34(5): 973-994, 2016.
 Fu C*. Perturbation Recovery of Biped Walking by Updating the Footstep. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Chicago, USA. September 2014. 2509-2514.
 Bian K, Zhou Y, Wan C, Gao Y, Fu Ao, Fu C, Chen K. Design and Application of an Efficient Scheme for Wafer Transfer Procedure during Ion Implantation Process. International Journal of Advanced Manufacturing Technology, 64(12): 1781-1789, 2013.
 Fu C*, Tan F, Chen K. A Simple Walking Strategy for Biped Walking Based on an Intermittent Sinusoidal Oscillator. Robotica, 28(6): 869-884, 2010.
 Fu C*, Chen K. Gait Synthesis and Sensory Control of Stair-climbing for a Humanoid Robot. IEEE Transaction on Industrial Electronics, 55(5): 2111-2120, 2008.
 Tan F, Fu C*, Chen K. Biped Blind Walking on Changing Slope with Reflex Control System. IEEE International Conference on Robotics and Automation (ICRA). Anchorage, Alaska, USA. May 2010. 1709-1714.
 Fu C*, Shuai M, Huang Y, Wang J, Chen K. Parametric walking patterns and optimum atlases for underactuated biped robots. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Beijing, China. October 2006. 342-347.