Yongbin Gong

Rutgers, The State University of New Jersey

Papers

Total Citations

H-Index

About

Yongbin Gong is a robotics researcher specializing in autonomous systems for infrastructure maintenance and agile mobile robot control. His work bridges the gap between practical civil engineering challenges and advanced robotic manipulation, with a focus on automating labor-intensive tasks. Gong's most cited paper, "Optimal motion planning and control of a crack filling robot for civil infrastructure automation" (2017, 6 citations), introduces a robotic system designed to autonomously detect and fill surface cracks in roads, bridges, and parking lots—addressing a critical need for timely infrastructure preservation. This contribution demonstrates his ability to integrate motion planning, control algorithms, and real-world deployment for construction automation. In parallel, Gong explores dynamic control of single-track robots, as seen in "Control of a Two-Wheel Steering Bikebot for Agile Maneuvers" (2019, 3 citations), where he develops a modeling and control framework for a bikebot capable of sharp, agile turns that double-track robots cannot achieve. This work highlights his versatility in tackling both practical and theoretical robotics problems. Though early in his career, Gong’s research lays a strong foundation for future innovations in autonomous infrastructure repair and agile locomotion, with potential applications in smart cities and disaster response.