Manjunatha Mahadevappa

Indian Institute of Technology Kharagpur

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About

Manjunatha Mahadevappa is a leading researcher in assistive and rehabilitative technologies, with a primary focus on Brain-Computer Interfaces (BCI) and human-machine interaction. His work is dedicated to restoring autonomy for individuals with severe motor disabilities, including those with ALS and spinal cord injuries. A landmark contribution is his 2016 paper on trajectory path planning for an EEG-controlled robotic arm using a Genetic Algorithm, which has garnered 53 citations and demonstrates a practical pathway for translating neural signals into precise mechanical actions. More recently, his proof-of-concept study on an Electro-Oculogram-based vision system for grasp assistive devices (2021) explores how intact eye movements can be harnessed to select and grasp objects, bypassing lost voluntary muscle control. By integrating signal processing, robotics, and user-centered design, Mahadevappa’s research directly addresses the critical gap between neural intent and physical execution. His work not only advances the technical frontiers of BCI but also holds profound implications for improving quality of life, making him a pivotal figure in the development of next-generation assistive systems.