Max Robotics — Global Service Robot Directory + US Certification

About

Rachel Wood is a pioneering researcher in human-robot interaction (HRI) and evolutionary robotics, whose work has fundamentally shaped how robots learn, adapt, and build social bonds with humans—particularly children. Her research spans three core areas: evolutionary approaches to cognition, long-term child-robot interaction, and multimodal social learning. Wood’s landmark 2005 survey on evolutionary robotics (290 citations) established the field as a scientific tool for studying minimal models of cognition, demonstrating how artificial neural networks and evolutionary algorithms can illuminate fundamental questions about intelligent behavior. Her highly influential 2013 work on multimodal child-robot interaction (206 citations), developed through the ALIZ-E project, pioneered adaptive strategies for sustainable long-term social interaction between robots and children. Wood’s groundbreaking “in the wild” studies (103 citations) brought child-robot interaction out of the lab and into hospital paediatric departments, establishing best practices for real-world social HRI. She also developed the innovative “Sandtray” touchscreen platform (47 citations) to facilitate unstructured, naturalistic social interactions. Her work on turn-taking emergence in child-robot interactions (19 citations) and evolutionary models of cognitive development (21 citations) continues to influence both robotics and developmental psychology.