Adwitiya Mandal

Papers

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About

Adwitiya Mandal’s research lies at the intersection of multi-agent robotics and human-robot interaction, with a focus on making autonomous systems more adaptive and intuitive. In her foundational work on multi-agent coordination, she systematically decomposed the problem into spatial, temporal, and spatio-temporal categories, providing a structured framework that has guided subsequent research in swarm robotics and collaborative autonomy. This paper, published in 2005, has garnered 7 citations and remains a reference point for researchers tackling coordination challenges. More recently, Mandal has pioneered novel approaches to human-robot communication. Her 2024 paper introduces PFbS (Proximity Feedback System), a groundbreaking method that leverages proxemics—the study of interpersonal distance—as a corrective feedback signal for robot navigation. By allowing a Pepper robot to dynamically adjust its behavior based on a human teacher’s distance, she demonstrates how non-verbal cues can replace explicit commands, making robot training more natural and accessible. With 3 citations already, this work is gaining traction in the growing field of intuitive human-robot teaching. Mandal’s contributions bridge classical coordination theory with modern, human-centric design, positioning her as a thoughtful voice in the evolution of collaborative robotics.