Thomas Piercy

University of Manchester

Papers

1

Total Citations

2

H-Index

1

About

Thomas Piercy is a researcher at the forefront of human-robot interaction, with a specific focus on enhancing safety and performance in telemanipulation systems. His work centers on the critical intersection of operator behavior, biomechanics, and error prediction. Piercy’s key contribution is the development of a novel framework that uses skeletal position data to estimate human error rates in real-time for telemanipulator operators. This data-driven approach, detailed in his 2024 paper, moves beyond traditional performance metrics by analyzing the operator’s physical posture to predict potential failures before they occur. By leveraging observed operator features, his system offers a proactive method to mitigate risks in high-stakes industrial applications, such as remote surgery or hazardous material handling. Though early in its citation history, this foundational work has already garnered attention for its practical potential to reduce costly and dangerous errors. Piercy’s research is paving the way for more intuitive, safer, and adaptive telerobotic systems, making him a promising voice in the future of human-machine collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Using skeletal position to estimate human error rates in telemanipulator operators
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Manchester

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago