Rundong Wang

State Key Laboratory of Robotics and Systems, Harbin Institute of Technology

Papers

Total Citations

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About

Rundong Wang is a robotics researcher whose work focuses on bridging the gap between theoretical motion planning and practical industrial automation. His key research areas include trajectory optimization, robot dynamics, and automated path generation for manufacturing processes. Wang’s major contributions address critical limitations in industrial robotics: his work on time-optimal trajectory planning integrates motor dynamics with kinematic constraints, preventing the overrun alarms that plague conventional approaches and enabling faster, safer robot operation. In parallel, his research on spray robot path planning tackles the challenge of mixed-line production by developing algorithms that automatically generate spray paths directly from 3D point cloud models of workpieces—eliminating the need for manual programming in furniture finishing. While his most-cited papers currently hold 2 citations each, these works represent foundational steps toward more intelligent, adaptive manufacturing systems. Wang’s research is particularly notable for its practical orientation, directly addressing real-world factory floor problems where robots must handle diverse products without time-consuming reprogramming. His work sits at the intersection of robotics, dynamics, and computer vision, offering solutions that make industrial robots more flexible and efficient in dynamic production environments.