Papers
15
Total Citations
187
H-Index
7
About
Guanwu Jiang is a robotics researcher whose work spans medical robotics, intelligent control systems, and human-robot collaboration. His research has made significant contributions to solving fundamental challenges in robot kinematics, precision positioning, and advanced control algorithms, accumulating over 170 citations across his published work. Jiang is perhaps best known for his pioneering application of PSO-optimized BP neural networks to solve inverse kinematics problems in puncture robots, a paper that has garnered 87 citations and demonstrated a compelling alternative to traditional geometric and algebraic methods. Building on this, he developed optical positioning systems using binocular vision for assisted puncture robots, advancing the accuracy and autonomy of minimally invasive surgical procedures. Beyond medical robotics, Jiang has made notable contributions to collaborative robot control, developing zero-moment teaching algorithms and general analytical solutions for 6-DOF cobots. His work on fuzzy backstepping control for dual-arm humanoid robots reflects a sustained interest in adaptive, intelligent control strategies capable of handling nonlinear dynamics and input saturation. Collectively, his research bridges theoretical robotics with practical clinical and industrial applications, making him a valuable contributor to the growing field of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Fuzzy backstepping control for dual-arm cooperative robot grasp11 citations · 2015
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- 7Vision solution for an assisted puncture robotics system positioning8 citations · 2018
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