Sumant Pushp

Tezpur University, National Institute of Technology Delhi

Papers

Total Citations

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About

Sumant Pushp is a researcher at the intersection of assistive robotics and cognitive human-machine interaction. His work focuses on developing intelligent wheelchair systems that can understand and anticipate user intent, enabling more natural and safe navigation assistance. Pushp’s most notable contribution is a cognitively enhanced collaborative control architecture, formalized and evaluated in a 2018 paper that has garnered 11 citations. This framework integrates intent recognition with shared control, allowing the wheelchair to proactively adjust its behavior based on the user’s cognitive state and goals. In related work, he explored cognitive decision-making models for navigation assistance, further advancing how robotic systems can infer and respond to human intentions in real time. Though his citation counts are modest, Pushp’s research addresses a critical challenge in assistive technology: creating intelligent mobility aids that empower users rather than simply automating movement. His work lays important groundwork for more responsive, human-centered robotic systems, with potential applications in rehabilitation and independent living for individuals with mobility impairments.