Evan Boucher

Papers

Total Citations

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About

Evan Boucher is a robotics researcher whose work centers on human-robot interaction, with a particular focus on expressive, non-verbal communication. His most notable contribution is the development of "eBear," an anthropomorphic robotic platform designed to explore how robots can convey emotion through facial expressions and body language. The eBear features a hybrid face combining a 10-degree-of-freedom mechanical faceplate with an LCD-display mouth, enabling nuanced emotional displays that bridge the gap between mechanical and digital expression. Though his most-cited paper has garnered 7 citations, its impact lies in its foundational approach to designing robots that can engage humans through subtle, bear-like social cues. Boucher’s research addresses the critical challenge of making robots more relatable and effective in collaborative environments, particularly in settings where trust and empathy are essential. His work on eBear has been recognized for its innovative integration of hardware and software to achieve lifelike expressiveness, laying groundwork for future studies in affective robotics and human-robot companionship.