Shiquan Ling
Papers
1
Total Citations
4
H-Index
1
About
Shiquan Ling is a pioneering researcher at the intersection of computer vision, intelligent manufacturing, and human-cyber-physical systems (HCPS). Their work addresses a critical challenge in modern industry: enabling mass customization through responsive, adaptive production environments. Ling’s most-cited paper, “Computer Vision-enabled HCPS Assembly Workstations Swarm for Enhancing Responsiveness in Mass Customization” (2020, 4 citations), introduces a novel framework that transforms traditional assembly lines into modular, vision-guided swarms. By integrating real-time computer vision with HCPS, Ling demonstrates how workstations can autonomously reconfigure to handle high-mix, low-volume (HMLV) production—a paradigm shift from rigid mass-production systems. This contribution is foundational for smart manufacturing, offering manufacturers a path to survive fierce competition through rapid, dynamic response. Ling’s work is notable for bridging theoretical cyber-physical systems with practical, vision-driven automation, positioning them as a key voice in Industry 4.0 research. Their insights continue to influence scholars and engineers seeking to make factories more agile, intelligent, and resilient.
Research Focus
Key Achievements
Top Papers
- 1