Max Robotics — Global Service Robot Directory + US Certification

About

Ka Keung Lee is a pioneering researcher in human-robot interaction, with a focus on facial expression analysis, space robotics, and wearable robotic networks. His most cited work, "Real-time estimation of facial expression intensity" (2004, 38 citations), introduced a groundbreaking method for automatically gauging the intensity of human facial expressions—a critical capability for enhancing the emotional intelligence of human-robot interfaces. Lee’s research on non-holonomic path planning for space robots (2006, 14 citations) applied genetic algorithms to solve complex trajectory problems, enabling precise control of manipulator joints and base attitude in zero-gravity environments. He also advanced the concept of wearable robots, proposing an intelligent service-based network architecture (2004) that transforms robots into mobile, context-aware information devices capable of remote communication and distributed coordination. His work on context-aware robot service coordination (2005) further extended Jini network models to prioritize tasks in dynamic robotic ecosystems. With a career spanning foundational contributions to affective computing, autonomous space systems, and networked robotics, Lee’s research has laid critical groundwork for more intuitive, adaptive, and socially aware robotic systems.