Max Robotics — Global Service Robot Directory + US Certification

About

Xiangming Xi is a leading researcher in human-robot interaction and intelligent task planning, with a focus on making service robots more autonomous and intuitive. His work bridges the gap between natural language understanding and robotic execution, particularly through the integration of large language models like ChatGPT into robotic systems. His 2023 paper, “ChatGPT for Robotics,” with 13 citations, introduces a groundbreaking framework that allows robots to interpret complex human commands and plan tasks accordingly, marking a significant shift in how robots can be deployed in dynamic environments. Xi’s earlier contributions include a comprehensive review of command-triggered task execution for service robots (6 citations) and novel approaches to robot planning using Behavior Trees and Knowledge Graphs (5 citations), which enhance the efficiency and adaptability of robotic strategies. He also developed a general framework for task understanding in tour-guide robots (4 citations), enabling them to navigate exhibitions and interact with visitors through both movement and dialogue. With a clear trajectory toward more intelligent, knowledge-driven robotics, Xi’s work is shaping the future of autonomous service robots in hospitality, domestic, and public settings.