Sanskar Agrawal

Defence Institute of Advanced Technology

Papers

Total Citations

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About

Sanskar Agrawal is a researcher at the intersection of autonomous robotics and brain-robot interfaces, with key contributions spanning field robotics and cognitive engineering. His work on the Eklavya 6.0 autonomous ground vehicle—a three-wheeled differential drive robot capable of navigating to GPS coordinates and following lanes in constrained environments—demonstrates practical advances in real-world autonomous navigation. This project, validated through participation in the Autonomous Navigation Challenge, has garnered 4 citations and showcases his ability to bridge design theory with deployed systems. More recently, Agrawal has ventured into cognitive robotics, co-authoring a 2024 study on classifying EEG-based upper limb motor imagery tasks for brain-robot interface development. With 3 citations, this work addresses the critical challenge of translating neural signals into robotic commands, contributing to the broader goal of seamless human-robot collaboration. By combining expertise in mechanical design, control systems, and machine learning, Agrawal’s research portfolio reflects a commitment to building intelligent systems that operate both autonomously and in direct partnership with humans—a dual focus that positions him at the forefront of next-generation robotics.