Ravi Kuber

University of Maryland, Baltimore County

Papers

Total Citations

H-Index

About

Ravi Kuber is a researcher dedicated to enhancing accessibility and quality of life for individuals with severe physical disabilities through innovative human-computer interaction. His primary research areas include assistive robotics, brain-computer interfaces (BCI), and gestural interaction systems. Kuber’s major contributions lie in developing integrated BCI and gestural interfaces that enable users to control robotic systems for limb repositioning—a critical need for bed- or chair-bound individuals to prevent discomfort and secondary health issues. His 2012 paper, "Toward the development of a BCI and gestural interface to support individuals with physical disabilities" (14 citations), laid foundational work for combining neural signals with intuitive gestures. He advanced this in his 2015 study, "Developing a limb repositioning robotic interface for persons with severe physical disabilities" (7 citations), which refined the system’s practicality and user-centered design. Though his citation counts are modest, Kuber’s work is notable for its direct, compassionate application to real-world challenges, bridging engineering and rehabilitation. His research exemplifies how technology can restore autonomy and dignity, making him a key figure in accessible robotics and assistive HCI.