Max Robotics — Global Service Robot Directory + US Certification

About

Frank Pollick is a leading researcher at the intersection of human perception, social robotics, and human-robot interaction (HRI). His work fundamentally explores how humans perceive and respond to artificial agents, with a particular focus on movement, appearance, and tactile feedback. Pollick’s most influential contribution is his foundational work on the **Uncanny Valley** phenomenon, where his highly cited 2010 paper (78 citations) provides critical empirical evidence for the theory that humanlike robots can evoke unease. His earlier, seminal 2000 paper (266 citations) established the use of humanoid robots as tools to study human behavior, particularly in trajectory formation and learning from demonstration. Pollick has also pioneered research into **thermal and vibrotactile HRI**, with recent studies (2022, 2024) exploring how temperature and simulated heartbeats can enhance emotional connections with socially assistive robots. His work on the visual perception of humanoid movement (2005, 17 citations) directly informs the design of more natural-looking robotic motion. With a career spanning over two decades, Pollick’s research bridges cognitive science and robotics, shaping how we design robots that are not only functional but also socially and emotionally acceptable to humans.