Amy Taylor

University of Sheffield

Papers

1

Total Citations

36

H-Index

1

About

Dr. Amy Taylor is a leading researcher in autonomous mobile robotics and intelligent manufacturing systems, with a focus on developing safe and efficient navigation protocols for dynamic industrial environments. Her most cited work, "Autonomous mobile robots in manufacturing: Highway Code development, simulation, and testing" (2019, 36 citations), addresses critical challenges in AMR movement by establishing a novel "Highway Code" for robots—a set of traffic-like rules that reduce operational delays and improve coordination in complex factory settings. This foundational contribution bridges the gap between theoretical robotics and practical deployment, offering simulation-validated solutions for real-world manufacturing floors. Dr. Taylor's research has significant implications for Industry 4.0, enabling more reliable and scalable automation. Her work is widely recognized for its interdisciplinary approach, combining robotics, logistics, and systems engineering to solve pressing industrial bottlenecks. With growing citation impact, Dr. Taylor continues to shape the future of autonomous material handling, making her a key voice in the evolution of smart factories.

Research Focus

Key Achievements

1
H-Index
1
Papers
36
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous mobile robots in manufacturing: Highway Code development, simulation, and testing
36 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Sheffield

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago