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About

Amir Abolfazl Suratgar is a prominent researcher in robotics and control systems, with key contributions spanning teleoperation, soft robotics, and autonomous mobile robots. His work on adaptive control of teleoperation systems using nonlinear disturbance observers (36 citations) has advanced the stability and performance of remote robotic manipulation. In soft robotics, Suratgar developed static models for reinforced bending actuators (19 citations), addressing the complex hyperelastic behavior of rubber-based actuators used in rehabilitation and locomotion. His research also includes path planning algorithms for dynamic environments (15 citations), underwater fish-like micro robots with PZT actuators (11 citations), and open-loop trajectory planning for underactuated spherical wheel mobile robots (10 citations). Suratgar has explored distributed optimization in heterogeneous networks, hybrid model predictive control for capsule robots, and forbidden region virtual fixtures for nonlinear teleoperation systems with variable time delays. His work on non-rigid load transportation by multiple quadrotors and impedance control for virtual fixture stiffness matrices further demonstrates his versatility. With over 100 citations across his most-cited papers, Suratgar’s research has significantly impacted the fields of control theory, soft robotics, and autonomous systems, making him a notable figure in modern robotics engineering.