Justin Ghan

Papers

Total Citations

198

H-Index

About

Justin Ghan is a key figure in the development of robotic exoskeletons, with his foundational work centered on the control and system identification of the Berkeley Lower Extremity Exoskeleton (BLEEX). His major contributions lie in solving the critical challenge of creating autonomous robotic devices that can seamlessly augment human strength and endurance. Ghan’s research focused on developing accurate dynamic models and controllers that allow exoskeletons to react compliantly to external forces, ensuring safe and intuitive interaction with the human pilot. His two most-cited papers, "Control and system identification for the Berkeley lower extremity exoskeleton (BLEEX)" (122 citations) and "System identification for the Berkeley lower extremity exoskeleton (BLEEX)" (76 citations), are seminal works that have collectively garnered nearly 200 citations, establishing the theoretical and practical framework for modern exoskeleton control. By pioneering the system identification techniques necessary for these complex human-robot systems, Ghan’s work has directly influenced the design of subsequent assistive and augmentative exoskeletons, making him a foundational contributor to the field of wearable robotics.