Papers
16
Total Citations
344
H-Index
10
About
Congbin Yang is a robotics and mechanical engineering researcher whose work spans precision manufacturing, robot kinematics, and intelligent assembly systems. His most influential contribution, "Elasto-geometrical Error Modeling and Compensation of a Five-Axis Parallel Machining Robot" (2021, 96 citations), addresses critical accuracy challenges in parallel robot architectures, establishing him as a leading voice in error modeling for advanced manufacturing systems. Yang has made significant strides in robot-guided assembly, developing a hybrid vision-based noncontact control strategy for peg-in-hole operations that improves adaptability in challenging industrial environments. His research into collision detection algorithms using convex-plane-polygon representations (40 citations) and minimal distance calculations has meaningfully advanced robot workspace safety and efficiency. Complementing these contributions, Yang has investigated harmonic drive dynamics, analyzing transmission errors under uncertain parameters and examining flexspline tooth profile characteristics — work that directly informs the design of precision robotic joints. His foundational contributions to trajectory planning via screw theory and inverse kinematics subproblems further demonstrate the mathematical rigor underlying his research. With over 300 cumulative citations, Yang's portfolio reflects a cohesive effort to bridge theoretical robotics with practical, high-precision industrial applications.
Research Focus
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