Peter Washington

Papers

Total Citations

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About

Peter Washington is a pioneering researcher at the intersection of human-robot interaction, computational behavioral science, and affective computing. His work fundamentally explores how humans perceive and interact with autonomous systems, from swarm robotics to digital health interventions. Washington’s most influential study, “Human Perception of Swarm Robot Motion” (57 citations), established foundational insights into how movement patterns of multi-robot groups shape human trust and comfort—critical for deploying robots in public spaces. He also advanced remote life-science experimentation through an interactive programming paradigm (20 citations), enabling real-time manipulation of living matter via cloud laboratories, a breakthrough for democratizing biology education. Most recently, Washington has tackled the challenge of computer vision-based emotion recognition in unconstrained, real-world settings (3 citations), developing models that estimate emotional reaction intensity from naturalistic video—a tool with transformative potential for digital behavioral healthcare and human-robot communication. His interdisciplinary approach bridges robotics, computer vision, and biology, earning recognition for making complex systems more intuitive and accessible. With a growing citation footprint and work spanning perception, automation, and emotion, Washington is shaping how autonomous systems understand and respond to human behavior.