Evan Capelle

Papers

Total Citations

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About

Evan Capelle is a researcher advancing the frontier of human-robot interaction, with a focus on making telepresence more natural and socially engaging. His work centers on two key areas: haptic feedback systems and embodied nonverbal communication in telerobots. Capelle’s most cited paper, “Design and Implementation of a Haptic Measurement Glove to Create Realistic Human-Telerobot Interactions” (2020, 10 citations), tackles the critical lack of touch-based interaction in remote communication. He developed a glove that captures and transmits tactile data, enabling pilots to feel what a robot “touches”—a breakthrough for creating more immersive, realistic teleoperation. Building on this, his 2022 study “Embodied Expressive Gestures in Telerobots: A Tale of Two Users” (6 citations) explores how introducing expressive gestures and tangible interactions can bridge the nonverbal gap for both pilot and local users. By addressing the social limitations of current commercial telerobots, Capelle’s research demonstrates that robots can be more than functional tools—they can be communicative partners. His contributions are particularly notable for their dual-user perspective, emphasizing that effective telepresence must serve both the remote operator and the people physically present.