Sumant Pusph

Papers

Total Citations

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About

Sumant Pushp is a researcher at the intersection of artificial intelligence, human-robot interaction, and assistive robotics. His work focuses on developing collaborative control architectures that enable intelligent machines to work seamlessly alongside humans, particularly in mobility assistance contexts. His most cited paper, "cBDI-based Collaborative Control for a Robotic Wheelchair" (2016), introduces a novel extension to the classic Belief-Desire-Intention (BDI) model, creating a framework for human-machine collaboration that provides "assistance as required." This architecture allows robotic wheelchairs to dynamically adjust their level of autonomy based on user intent and capability, offering a more natural and supportive interaction. With 5 citations, this foundational work has influenced subsequent research in shared control and assistive robotics. Pushp's contributions are particularly notable for bridging theoretical AI models with practical, real-world applications that enhance quality of life for individuals with mobility challenges. His research continues to advance the development of intelligent, collaborative robotic systems that prioritize user autonomy and safety.