AI-assisted flexible electronics in humanoid robot heads for natural and authentic facial expressions

Abstract

The realization of natural and authentic facial expressions in humanoid robots poses a challenging and prominent research domain, encompassing interdisciplinary facets including mechanical design, sensing and actuation control, psychology, cognitive science, flexible electronics, artificial intelligence (AI), etc. We have traced the recent developments of humanoid robot heads for facial expressions, discussed major challenges in embodied AI and flexible electronics for facial expression recognition and generation, and highlighted future trends in this field. Developing humanoid robot heads with natural and authentic facial expressions demands collaboration in interdisciplinary fields such as multi-modal sensing, emotional computing, and human-robot interactions (HRIs) to advance the emotional anthropomorphism of humanoid robots, bridging the gap between humanoid robots and human beings and enabling seamless HRIs.

Main text

The rapid development of AI, particularly with the emergence of large language models (LLMs) like ChatGPT, has transformed humanoid robots from mechanical entities into emotionally interactive objects.1 The first humanoid robot created by W.H. Richards in 1928 marked a pivotal moment in robotics history. Toward the end of the 20th century, humanoid robotic systems made notable progress, exemplified by Honda’s ASIMO and Softbank’s NAO robots. These robots were initially designed for entertainment, showcasing advancements in motion control and HRIs. In the early 21st century, humanoid robots with advanced mobility and intelligence emerged as a focal point in robotics research, with industry leaders such as Boston Dynamics and Tesla driving progress in this field. Boston Dynamics’s Atlas robot demonstrated remarkable agility, performing intricate maneuvers such as parkour and backflips, while Tesla’s Optimus showcased potential applications in domestic and industrial environments.