Max Robotics — Global Service Robot Directory + US Certification

About

Xinguo Yu is a researcher whose work spans robotics, computer vision, human-robot interaction, and intelligent educational technology. His early contributions, concentrated around 2009, laid important groundwork in mobile service robotics, most notably through his vision-based framework for lift-button detection and recognition — a critical capability enabling robots to navigate multi-story buildings autonomously (15 citations). During this period, Yu also advanced stereo vision-based human detection and tracking using ML-fusion techniques (12 citations), and demonstrated real-world robotic applications through projects such as FusionBot, an autonomous barista robot, and an interactive robot butler. These efforts collectively established him as a practical innovator in service robotics. His research later evolved toward social robotics, where he investigated multimodal social cue perception to enhance engagement awareness in multiparty human-robot interaction (5 citations). More recently, Yu has turned his attention to educational technology, exploring personalized learning strategies within mathematics tutoring systems (8 citations) and developing speech interaction capabilities for educational robots. His diverse portfolio reflects a sustained commitment to bridging intelligent systems with real human needs, spanning physical navigation, social communication, and personalized learning environments.