Papers
1
Total Citations
15
H-Index
1
About
Shang Guo is a robotics researcher whose work centers on human-robot interaction, particularly in developing socially intelligent systems capable of natural, real-time conversation. His most cited paper, "Conversational Bootstrapping and Other Tricks of a Concierge Robot" (2017, 15 citations), details a two-year project building a robot that uses online learning to improve its conversational abilities through live interaction with visitors. This work demonstrates how robots can move beyond scripted responses to adapt and learn on the fly, a key challenge in creating truly autonomous social robots. Guo’s contributions lie in bridging speech recognition and natural language processing within a physical, interactive platform, showing how continuous learning can enhance user experience in public-facing roles. His research has practical implications for service robotics, from hotel concierges to museum guides, and highlights the importance of designing systems that improve through use rather than pre-programming alone.
Research Focus
Key Achievements
Top Papers
- 1Conversational Bootstrapping and Other Tricks of a Concierge Robot15 citations · 2017