Guoqiang Jin

University of Science and Technology of China

Papers

Total Citations

114

H-Index

About

Guoqiang Jin is a leading researcher at the intersection of artificial intelligence and robotics, with a primary focus on enabling sophisticated human-robot collaboration. His work centers on equipping service robots with high-level cognitive functions, specifically by integrating natural language processing (NLP) with commonsense reasoning. Jin’s most influential paper, "Developing high-level cognitive functions for service robots" (2010, 90 citations), established a foundational framework by identifying key assumptions and requirements for robots to operate effectively in complex, real-world environments. He further advanced this vision by pioneering the integration of NLP with Answer Set Programming (ASP) for autonomous agents, demonstrating a working prototype in a home setting. To enhance robotic task planning, Jin extended the action language C+ with composite actions, allowing for more intuitive and efficient reasoning in large domains. His work is notable for bridging the gap between symbolic reasoning and natural language communication, a critical step toward truly autonomous service robots. With a career marked by these innovative contributions, Jin continues to shape the future of intelligent, collaborative robotics.