Hirak J. Kashyap

Papers

Total Citations

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About

Hirak J. Kashyap’s research sits at the intersection of neurobiology, robotics, and human-robot interaction, with a focus on creating machines that can learn and adapt like living organisms. His most influential work, “A Neurobiological Schema Model for Contextual Awareness in Robotics” (7 citations), introduces a neural network framework inspired by memory consolidation and schema theory. This model enables robots—such as the Toyota Human Support Robot (HSR)—to build stable yet flexible representations of tasks and environments, a critical step toward truly autonomous social robots. Kashyap’s subsequent evaluation of the HSR for social interaction and learning (6 citations) explores how tele-operated robots can help medically restricted children re-engage with school and community life, addressing both technical and social challenges. He also co-edited a special issue on what computer vision can learn from visual neuroscience (2 citations), bridging two fields to push machine perception closer to biological vision. With a growing citation footprint and a clear focus on neurobiologically grounded robotics, Kashyap is shaping how robots understand context and connect with people in real-world settings.