Ziang Xiao

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Ziang Xiao is a researcher at the forefront of human-robot interaction, with a focus on developing intelligent systems that can perceive, track, and communicate with people in dynamic environments. His most cited work, "A Human-Tracking Robot Using Ultra-Wideband Technology" (2018), has garnered 47 citations and introduces a novel method for enabling robots to detect and follow a target person by calculating their precise position and orientation using UWB signals—a foundational contribution to autonomous mobile robotics. More recently, Xiao has advanced the field of conversational AI with his 2025 paper "Interruption Handling for Conversational Robots," which explores how robots can manage natural dialogue disruptions, a critical step toward more fluid and human-like interactions. This work demonstrates his commitment to bridging technical sensing capabilities with social intelligence. By combining robust localization techniques with nuanced conversational models, Xiao’s research is shaping the next generation of robots that can seamlessly assist, collaborate, and engage with humans in real-world settings.