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About

Chaitanya Nutakki is a researcher at the intersection of neuroscience, robotics, and accessible technology. His work centers on developing low-cost, brain-controlled prosthetic systems and educational robotics platforms, with a particular focus on applications for developing economies. Nutakki’s most cited paper (19 citations) demonstrates how EEG-based brain-computer interfaces can control affordable robotic arms, making assistive technology more accessible. He further advanced this field by applying machine learning to classify movement articulation for robotic arms, transforming traditional kinematic control into intelligent, data-driven approaches. Beyond prosthetics, Nutakki has made significant contributions to robotics education, designing and deploying a freely accessible, open-source remotely controlled robotic articulator (12 citations). This platform, powered by a neuro-inspired control algorithm, enables university students in resource-limited settings to gain hands-on experience with robotics and AI. His work on low-cost robotic articulators as online education tools (8 citations) directly addresses humanitarian challenges, bridging the gap between advanced robotics research and practical, deployable solutions for the physically challenged and underserved communities.