Bing-wei Cao

Queen's University Belfast, Jilin University

Papers

Total Citations

H-Index

About

Bing-wei Cao is a robotics researcher whose work centers on industrial robot motion planning and adaptive control, with a particular focus on optimizing trajectory efficiency and safety in multi-robot environments. His most cited paper, "Implementation of time-optimal smooth and collision-free path planning in a two robot arm environment" (2002, 6 citations), introduces a pioneering approach that balances time optimality with path smoothness using cubic spline interpolation. By formulating an objective function that accounts for jerk continuity, Cao’s method enables two industrial robot arms to operate simultaneously without collisions while maintaining smooth, time-efficient motion—a critical advancement for manufacturing automation. More recently, his 2024 paper "Adaptive Trajectory Compensation of Large Inertia Robot" (2 citations) addresses the challenge of precision control in heavy-load robotic systems, proposing adaptive algorithms to correct trajectory deviations caused by inertia. Though his citation counts are modest, Cao’s contributions are foundational for practical industrial robotics, particularly in collaborative and high-inertia applications. His work demonstrates a sustained commitment to solving real-world motion planning problems, bridging theoretical optimization with tangible robotic performance improvements.