Max Robotics — Global Service Robot Directory + US Certification

About

Hao-Tien Lewis Chiang is a robotics researcher whose work sits at the intersection of autonomous navigation and human-robot interaction, with a particular focus on making robots capable of operating safely and intelligently in human-populated environments. His most influential contribution, "Principles and Guidelines for Evaluating Social Robot Navigation Algorithms" (2024), has already garnered 59 citations, reflecting the field's urgent need for standardized benchmarking frameworks. By tackling the persistent challenge of fair and consistent evaluation in social navigation research, Chiang has helped lay critical groundwork that enables more meaningful comparisons across algorithmic approaches. His more recent work explores predicting human perceptions of robot performance in real time — moving beyond disruptive post-hoc surveys toward systems that allow robots to dynamically adapt to human expectations during ongoing interactions. Together, these contributions position Chiang as a researcher working to bridge technical robot performance with the social dimensions of deployment in real-world settings. His research is particularly relevant for students and engineers working on service robotics, autonomous systems, and the design of robots intended to coexist naturally alongside people in everyday environments.