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About

Amirmasoud Ghasemi Toudeshki is a robotics researcher whose work spans rehabilitation exoskeletons, humanoid locomotion, and autonomous UAV navigation. His early contributions include the design and fabrication of a 3-degree-of-freedom upper limb exoskeleton for rehabilitation (16 citations), which incorporated critical human-robot interaction components for therapeutic applications. He has also advanced humanoid robotics through ZMP trajectory control of the Surena II humanoid (15 citations), comparing PID and fuzzy controllers for stability under external disturbances. More recently, Ghasemi Toudeshki has pioneered the use of semantic object features for Visual Teach and Repeat (VTR) in UAVs (12 and 8 citations), demonstrating that CNN-based object detections provide robust, repeatable landmarks for autonomous navigation without requiring traditional visual features. His work on optimal trajectory generation for the SURENA III robot’s arm (2 citations) further showcases his expertise in energy-efficient motion planning with obstacle avoidance. Through these diverse contributions—from assistive robotics to autonomous flight—Ghasemi Toudeshki has established himself as a versatile researcher pushing the boundaries of robotic systems across multiple domains.