Jonathan Keep

Culham Science Centre

Papers

1

Total Citations

3

H-Index

1

About

Jonathan Keep is a robotics researcher focused on advancing the dynamic modeling and control of manipulators for extreme environments, particularly within nuclear fusion engineering. His most cited work, "Dynamic model identification method of manipulators for inside DEMO engineering" (2017), addresses the critical challenge of constructing accurate dynamic models for robots operating under the demanding conditions inside fusion reactors like DEMO. By integrating these models into control system design, Keep's contributions enhance the precision and reliability of robotic systems tasked with maintenance and handling in hazardous, high-stakes settings. Though his citation count is modest, his research is pivotal for the future of fusion energy infrastructure, where robust automation is essential. Keep's work underscores the intersection of robotics and energy engineering, offering practical solutions for deploying manipulators in environments where failure is not an option. His efforts are shaping the next generation of autonomous systems for industrial and scientific applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic model identification method of manipulators for inside DEMO engineering
3 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Culham Science Centre

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago