Barmak Baigzadehnoe

Babol Noshirvani University of Technology

Papers

Total Citations

110

H-Index

About

Barmak Baigzadehnoe is a leading figure in the field of nonlinear control systems and robotics, with a particular focus on adaptive and intelligent control strategies for complex multi-agent systems. His most-cited work, "On position/force tracking control problem of cooperative robot manipulators using adaptive fuzzy backstepping approach" (2017, 110 citations), addresses a fundamental challenge in collaborative robotics: ensuring precise coordination of position and force when multiple manipulators interact with a shared object. By integrating fuzzy logic with adaptive backstepping control, Baigzadehnoe developed a robust framework that mitigates system uncertainties and external disturbances, enabling stable and accurate cooperative manipulation. This contribution is pivotal for applications in industrial automation, surgical robotics, and human-robot collaboration, where safe and efficient force regulation is critical. His research has been widely cited for its practical relevance and theoretical depth, influencing subsequent work on decentralized control and learning-based approaches. Baigzadehnoe’s work continues to inspire engineers and researchers seeking to push the boundaries of autonomous robotic systems.