Maxime Petit

Dr. Maxime Petit is a Researcher in the Personal Robotics Lab at Imperial College London, part of the Faculty of Engineering. He joined the lab in June 2014 as part of the FP7 WYSIWYD project. His research focuses on human-robot interaction, child development theories, autobiographical memory systems, and language learning in humanoid robots, particularly using the iCub platform. He holds a Ph.D. from the Neurosciences and Cognition doctoral school at University Lyon1 (2014) and degrees from the University of Paris-Sud and INSA Lyon.

His work emphasizes leveraging stories and social interaction to develop cognitive capabilities in robots, aligning with the Make-a-Human project’s goals. Key themes in his publications include lifelong learning, multimodal memory integration, and language-based instruction for robotic systems. He has contributed to conferences such as IEEE ICRA, CVPR, and IROS, exploring topics like action learning, kinematic matching, and procedural memory emergence.

Publications highlight advancements in robots’ ability to learn through social interaction, with a focus on grammar acquisition, cooperative task coordination, and human-like movement dynamics. Despite extensive research output, no scientific awards are explicitly mentioned in the provided text.

His current role involves advancing developmental robotics through interdisciplinary approaches, integrating insights from cognitive science, neuroscience, and computer science.