Md. Arif Khan

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About

Md. Arif Khan is a researcher at the intersection of assistive robotics and human-machine collaboration, with a primary focus on intelligent control systems for mobility aids. His most notable contribution is the development of a collaborative control architecture for robotic wheelchairs, designed to provide "assistance as required" to users. This work, published in 2016 and garnering 5 citations, introduces an innovative extension to the classic Belief-Desire-Intention (BDI) model, called cBDI, which explicitly supports human-machine teamwork. By enabling a wheelchair to dynamically share control with its user, Khan’s architecture balances autonomy with user intent, offering a safer and more responsive experience for individuals with mobility impairments. The evaluation of this system demonstrates its potential to enhance user independence while reducing cognitive load. Khan’s research contributes to the broader fields of human-robot interaction and intelligent assistive technology, addressing critical challenges in how robots can adaptively collaborate with humans. His work lays a foundation for future developments in context-aware, user-centered robotic assistance.