Papers
10
Total Citations
37
H-Index
4
About
Omid Mahdizadeh is a robotics researcher whose work spans rehabilitation robotics, wearable assistive devices, continuum manipulators, and advanced control systems. He is perhaps best known for his sustained contributions to the RoboWalk project — a two-legged lower-limb exoskeleton designed to support users by offloading body weight during movement. His work on RoboWalk has addressed critical challenges across the full development pipeline, from sensor fusion and state estimation using Adaptive Root Square Unscented Kalman Filtering (8 citations), to the pioneering design of a multipurpose test stand ensuring user safety and device reliability (6 citations), through to performance validation and human-robot dynamics modeling for rehabilitation planning. Beyond wearable robotics, Mahdizadeh has made notable contributions to continuum robotic arms, developing intelligent model-free and learning-based control strategies that handle the inherent nonlinearities and uncertainties of tendon-driven systems, including a deep reinforcement learning framework for shape-constrained control. His research portfolio also encompasses parallel manipulator kinematics and underwater robot dynamics. With over 30 cumulative citations across a growing body of work, Mahdizadeh represents an emerging voice bridging theoretical robotics and real-world assistive technology applications.
Research Focus
Key Achievements
Top Papers
- 1RoboWalk Multiple-Sensor and Multipolar Data Fusion8 citations · 2019
- 2
- 3
- 4
- 5
- 6Intelligent Model-Free Control for Tendon-Driven Continuum Robotic Arms3 citations · 2023
- 7
- 8Learning-based control for tendon-driven continuum robotic arms2 citations · 2025
- 9
- 10