Jingyan Song

Chinese University of Hong Kong, Tsinghua University

Papers

Total Citations

H-Index

About

Jingyan Song is a researcher whose work spans the intersecting fields of human-robot interaction, control systems, and space robotics. Their most recognized contribution lies in the modeling and evaluation of human control strategy (HCS), a paradigm with broad implications for intelligent vehicle highway systems, virtual reality, and robotics. Song's 2002 paper introducing two performance measures for evaluating HCS garnered 9 citations and offered a foundational framework for understanding how humans dynamically regulate control in complex environments — moving the field beyond purely empirical models toward more structured analytical approaches. Complementing this, Song also explored optimization of HCS using simultaneously perturbed stochastic approximation, further refining how human input-output data can be systematically analyzed. More recently, Song contributed to the growing field of space robotics, developing an adaptive coordinated motion control approach for dual-arm free-floating space robots, addressing the critical challenges of post-capture maneuvers involving noncooperative targets, joint-limit avoidance, and uncertain inertial parameters. While Song's citation counts remain modest, their research reflects a consistent commitment to advancing intelligent control across terrestrial and extraterrestrial domains, making meaningful contributions to both human-centered and autonomous systems design.