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About

Prashanth Jonna is an emerging robotics and rehabilitation engineering researcher whose work focuses on the design and development of advanced robotic systems for stroke rehabilitation. His research addresses a critical clinical need: restoring motor function in stroke survivors suffering from hemiparesis, a condition causing partial paralysis affecting millions worldwide. Jonna's most cited work, "Design of a 6-DoF Cost-effective Differential-drive based Robotic Upper-Limb Stroke Rehabilitation System" (2022, 17 citations), introduced an accessible, affordable solution for upper-limb therapy, demonstrating his commitment to practical, patient-centered engineering. Building on this foundation, he expanded his scope to holonomic drive-based systems capable of addressing both upper and lower-limb rehabilitation needs simultaneously. His more recent investigations explore intelligent control strategies, including CNN-based surface EMG signal processing for real-time limb angle prediction at the edge, pushing robotic rehabilitation toward adaptive, patient-intent-driven motion control. He has also contributed specialized designs for forearm rehabilitation, targeting the fine motor demands of daily living activities. With a growing citation record and a consistent focus on making rehabilitation robotics more functional, affordable, and intelligent, Jonna represents a promising voice in assistive and rehabilitation technology research.