Geng Zhang
Papers
1
Total Citations
9
H-Index
1
About
Geng Zhang is a leading researcher at the forefront of intelligent manufacturing and multi-robot systems, with a specific focus on the emerging paradigm of Industry 5.0. Their most-cited work, "Distributed multi-robot task dynamic allocation in digital-twin factory towards industry 5.0" (2025, 9 citations), represents a significant contribution to the field by addressing the critical challenge of real-time, decentralized coordination among robotic agents in smart factories. Zhang’s research bridges the gap between digital twin technologies and autonomous multi-agent systems, proposing novel algorithms that enable robots to dynamically reallocate tasks in response to changing production demands—a key enabler for the human-centric, resilient, and sustainable factories envisioned in Industry 5.0. This work has already garnered attention for its practical implications in improving manufacturing flexibility and efficiency. By integrating distributed decision-making with virtual factory models, Zhang is helping to lay the computational foundations for next-generation industrial automation. Their research is particularly valuable for students and engineers seeking to understand how autonomous systems can collaborate seamlessly in complex, real-world production environments.
Research Focus
Key Achievements
Top Papers
- 1