Cheng Feng

University of Edinburgh, Turing Institute

Papers

Total Citations

H-Index

About

Cheng Feng is a researcher whose work bridges artificial intelligence, robotics, and collective adaptive systems. Their key research areas include multi-agent coordination, swarm intelligence, and the intersection of AI planning with robotic control. Feng’s major contributions lie in analyzing how distributed agents—whether natural swarms or engineered robot collectives—achieve adaptive behavior across both time and space. Their 2015 paper on collective adaptive behavior, which has garnered 3 citations, provides a foundational framework for understanding how systems like sensor networks and swarm robots coordinate without centralized control. Earlier work from 2003, with 2 citations, tackled the critical “planning gap” between AI and robotics communities, exploring how procedural and parameter knowledge can be represented for effective task planning. This research helps bridge theoretical AI planning with practical robotic execution. While Feng’s citation counts are modest, their work addresses fundamental challenges in decentralized intelligence and human-ICT agent collaboration, contributing to the growing field of cyber-physical systems and adaptive autonomous agents.