Max Robotics — Global Service Robot Directory + US Certification

About

Mostafa Ghobadi is a leading researcher in the intersection of robotics, rehabilitation engineering, and human-robot interaction. His work is distinguished by a human-centered approach, focusing on making robotic systems more adaptive, intuitive, and accessible—particularly for clinical and home-based care. Ghobadi’s most impactful contribution is his pioneering work on "Upper Limb Home-Based Robotic Rehabilitation During COVID-19 Outbreak," which has garnered 26 citations for addressing the urgent need for remote, post-intensive care rehabilitation during the pandemic. He has also made significant strides in adaptive control, introducing a robust tracking controller for electrically driven robot manipulators (9 citations) that combines theoretical stability analysis with experimental validation. A hallmark of his research is the novel use of passive Brain-Computer Interfaces (BCI) to adapt rehabilitation systems based on a user’s mental engagement, moving beyond conventional active BCI paradigms. Additionally, Ghobadi has advanced robot automation programming through an innovative "show and tell" framework that uses gesture control and positional sensors like Kinect and Leap Motion. His work consistently bridges simulation, control theory, and real-world application, making him a key figure in developing intelligent, user-responsive robotic systems for healthcare and automation.