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About

Gokhan Gungor is a robotics researcher whose work focuses on the control, estimation, and adaptation of advanced robotic systems, particularly cable-driven parallel robots (CDPRs) and reconfigurable manipulators. His most cited paper, "Adaptive Vibration Control of a Flexible Cable Driven Parallel Robot" (2015, 26 citations), addresses a critical challenge in CDPRs—managing cable flexibility and vibration to enable high-speed, large-workspace motion. He has made significant contributions to friction estimation and compensation in industrial cable robots, developing Lyapunov-based adaptive controllers that improve precision and reliability. His research extends to modular and reconfigurable robots, where he has designed decentralized model reference adaptive control strategies for systems that can change their configuration. Gungor has also explored sensorimotor control using adaptive neuro-fuzzy inference systems to achieve human-like arm movement, bridging robotics and biomechanics. His work on estimation of anchor points and comparison of adaptive versus robust controllers for planar cable robots has provided foundational insights for the field. With a career spanning from foundational CDPR control to bio-inspired sensorimotor systems, Gungor’s research is highly relevant for students and researchers interested in adaptive control, robotics, and human-robot interaction.