Zhi‐Guo Shi

University of Science and Technology Beijing, Beijing Information Science & Technology University

Papers

Total Citations

H-Index

About

Zhi-Guo Shi is a researcher whose work bridges affective computing, multi-robot collaboration, and swarm robotics. His key contributions include developing an affective transfer computing model based on attenuation emotion mechanisms, which explores how emotional states can be computationally modeled and transferred in artificial systems—a novel approach that has garnered 14 citations. In the domain of multi-robot systems, Shi proposed a task allocation model grounded in reputation, drawing inspiration from human social dynamics where trust and historical performance guide collaboration. This work, cited 8 times, addresses the challenge of coordinating heterogeneous robot teams by leveraging reputation as a decision-making metric. Additionally, Shi contributed to the practical implementation of swarm robotics through simulation scenarios using the open-source Player/Stage platform, providing accessible tools for researchers to test and validate swarm algorithms. While his citation counts reflect a focused and emerging impact, Shi’s integration of human-inspired mechanisms—such as emotion and reputation—into robotic systems offers a distinctive perspective on intelligent collaboration. His work is particularly relevant for students and researchers interested in the intersection of cognitive modeling, multi-agent systems, and bio-inspired robotics.