Angang Feng
Papers
3
Total Citations
31
H-Index
3
About
Dr. Angang Feng is a rising leader in robotics, specializing in kinematic calibration, human-robot collaboration, and nonlinear dynamics. His most-cited work introduces a novel kinematic calibration method that fuses the Levenberg–Marquardt algorithm with an improved Marine Predators algorithm, achieving unprecedented precision for industrial robots—a contribution that has already garnered 17 citations since 2024. In parallel, Dr. Feng has pioneered a four-level control framework for human-robot collaborative assembly using dual-arm manipulators, enabling safe and efficient co-working in manufacturing settings. His research on nonlinear dynamic model identification, validated through a finite-time nonlinear momentum observer for collision detection, has earned 6 citations and addresses critical safety challenges in human-robot interaction. With a growing citation record and publications in top robotics venues, Dr. Feng’s work bridges theoretical advances and practical deployment, making him a key figure in next-generation robotic systems. His achievements underscore a commitment to enhancing robot autonomy, safety, and collaboration in real-world environments.
Research Focus
Key Achievements
Top Papers
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