Max Robotics — Global Service Robot Directory + US Certification

About

Vahab Khoshdel is a leading researcher in rehabilitation robotics, specializing in the development of intelligent control systems that enhance human-robot interaction for lower-limb therapy. His work centers on adaptive impedance control, sEMG-based human-force estimation, and the application of artificial neural networks (ANNs) to create more responsive and patient-tailored rehabilitation devices. Khoshdel’s most cited paper, “sEMG-based impedance control for lower-limb rehabilitation robot” (2017, 53 citations), introduces a novel framework that uses surface electromyography signals to dynamically adjust robotic assistance. His 2015 paper on voltage-based adaptive impedance force control (31 citations) is notable for employing a gradient descent algorithm to adapt impedance parameters in real time, improving therapeutic exercise execution. Further contributions include optimizing ANNs for force estimation (2018, 23 citations) and pioneering variable impedance control using interval type-2 fuzzy logic (2015, 10 citations). By shifting from traditional torque-based control to voltage-based strategies, Khoshdel has advanced the safety and adaptability of rehabilitation robots, directly addressing the need for personalized, effective therapy. His work is highly influential for researchers and engineers developing next-generation assistive technologies.