Jaydip Desai
Papers
13
Total Citations
135
H-Index
7
About
Jaydip Desai is a researcher specializing in assistive robotics, rehabilitation engineering, and human-machine interfaces, with a particular focus on improving quality of life for individuals living with neuromuscular disorders such as cerebral palsy, Duchenne Muscular Dystrophy, and stroke-related impairments. His work spans the design and control of robotic exoskeletons, brain-machine interfaces (BMI), and soft robotic systems aimed at restoring or augmenting upper limb function for activities of daily living. Among his most impactful contributions is the development of a wheelchair-mounted upper limb robotic exoskeleton featuring an adaptive controller (25 citations), alongside pioneering work using artificial neural networks to decode hand gestures for robotic arm control (22 citations). His research into shoulder kinematics assessment (19 citations) and sEMG-IMU sensor fusion for assistive robotic arms (13 citations) further demonstrates his multidisciplinary approach bridging biomechanics, signal processing, and robotics. Notably, Desai has also advanced non-invasive EEG-based control systems, enabling users to operate robotic hands through motor imagery alone. With over 120 cumulative citations, his body of work represents a sustained and meaningful effort to translate engineering innovation into practical assistive technologies for vulnerable populations.
Research Focus
Key Achievements
Top Papers
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- 3Shoulder Kinematics Assessment towards Exoskeleton Development19 citations · 2020
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- 5Extracting Motor Imagery Features to Control Two Robotic Hands13 citations · 2018
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