Asim Mukherjee

Papers

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About

Asim Mukherjee’s research lies at the intersection of human-computer interaction and autonomous systems, with a core focus on enabling intuitive, non-verbal communication between humans and robots. His most cited work, “Autonomous Robot Control Using Facial Expressions” (2012, 12 citations), introduces a real-time system that translates human facial expressions into direct robot commands. This pioneering framework integrates three key modules—face detection, expression recognition, and robot control—demonstrating how emotional cues can serve as a natural interface for machine guidance. By bridging affective computing with robotics, Mukherjee’s contributions have opened new pathways for assistive technologies and hands-free control in environments where traditional input methods are impractical. His work underscores the potential of making robots more responsive to human emotional states, a concept that continues to influence research in socially aware robotics. Though early in his career, Mukherjee’s innovative approach to merging perception and action has established him as a thoughtful contributor to the growing field of human-robot interaction, with implications for everything from rehabilitation devices to collaborative manufacturing.