Emre Fisher

Association for Symbolic Logic, ASML (Netherlands)

Papers

Total Citations

H-Index

About

Emre Fisher is an emerging researcher working at the intersection of human-robot interaction, expressive robotics, and multi-robot systems. His work explores a compelling question: as robots increasingly inhabit everyday human spaces, how can their behavior be designed to feel natural, engaging, and socially intelligent? Fisher's most recognized contribution is "Music Mode" (2024), a creative system that maps a robot's joint movements to musical output, effectively turning locomotion into live sound design. Developed collaboratively with artists and engineers, the work demonstrated through two experiments that musical movement significantly boosts a robot's perceived likability and intelligence — garnering 4 citations since publication. Building on this expressive foundation, his 2025 work on interactive multi-robot flocking introduces gesture-responsive coordination with musical accompaniment, pushing beyond efficiency-driven multi-robot paradigms toward systems designed for human engagement and aesthetic experience. His third paper, "Gesture2Path," applies imitation learning to enable gesture-aware robot navigation, further deepening his focus on intuitive human-robot communication. Though early in his career, Fisher's research signals a distinctive vision: robots that don't merely function alongside humans, but communicate, respond, and even delight them.