Shao Chen Kang

Harbin University of Science and Technology

Papers

Total Citations

H-Index

About

Shao Chen Kang is a robotics researcher whose work focuses on the locomotion and stability of quadruped search-and-rescue robots. His key contributions lie in the biomechanical analysis and gait planning of legged machines designed for hazardous environments. Kang’s research employs dynamic simulation tools like ADAMS and theoretical frameworks such as Lagrange mechanics to model and evaluate walking stability. His most cited paper, “Research on Walking Stability of Quadruped Search-Rescue Robot” (2011, 3 citations), establishes a kinetic model for assessing system balance during traversal. A companion study on gait analysis and planning (2011, 2 citations) examines animal-inspired walking poses and degree-of-freedom distributions to ensure stable, efficient locomotion. While his citation counts are modest, Kang’s work provides foundational insights into the structural and control challenges of quadruped robots, particularly for search-and-rescue missions where terrain adaptability is critical. His research contributes to the broader field of field robotics by bridging theoretical dynamics with practical gait synthesis, offering a systematic approach to designing stable walking patterns for disaster-response machines.