Haosong Chen

Japan Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Haosong Chen is a rising figure in the field of bio-inspired robotics, with a primary focus on the modeling, analysis, and control of underactuated and passive dynamic walking systems. His research elegantly bridges theoretical mechanics with practical robot design, particularly through the innovative use of tensegrity structures and entrainment-based control. Chen’s most cited work introduces a novel planar tensegrity robot capable of passive dynamic walking on a gentle downhill, demonstrating how gait versatility can be enhanced by applying actuation forces to connection cables. This contribution is notable for its biomimetic approach, drawing inspiration from the natural efficiency of human and animal locomotion. In parallel, his research on entrainment-based control offers a theoretical framework for overcoming the underactuation challenge in compass-like biped robots, showing that periodic forcing can significantly improve gait efficiency. While the experimental feasibility of this method remains an area for development, Chen’s work has already garnered attention, with his top paper accumulating 13 citations. His achievements mark him as a promising contributor to the future of energy-efficient, adaptive walking robots.