Hong Cheng

Papers

Total Citations

H-Index

About

Hong Cheng is a researcher whose work spans the intersection of labor economics and advanced robotics, offering insights into both the societal impacts of automation and the technical frontiers of robotic control. In his influential 2018 study, "Industrial Robots and Jobs Turnover: Evidence from Chinese Firm Level Data," Cheng provided critical empirical evidence on how industrial automation reshapes employment dynamics, a paper that has garnered 6 citations and remains a touchstone for scholars examining technology-driven labor market shifts. More recently, Cheng has pushed the boundaries of robotic motion control with his 2025 paper on an Evolutionary Computing Control Strategy (ECCS) for nonholonomic robots. This work integrates ordinary differential equation (ODE)-based kinematics with nonlinear model predictive control (NMPC) and particle-based evolutionary computing, offering a novel approach to solving complex motion challenges. Though newly published with 1 citation, this contribution signals Cheng’s versatility in bridging theoretical modeling and practical control systems. His dual focus—on the economic consequences of robots and the algorithmic sophistication of their control—positions him as a distinctive voice in robotics research, appealing to students and scholars interested in both the human and technical dimensions of automation.