Papers

3

Total Citations

27

H-Index

3

About

Matthew Goodliffe is a leading researcher in robotics for extreme environments, with a primary focus on nuclear decommissioning and fusion energy maintenance. His work addresses the critical challenge of developing safe, efficient robotic systems for tasks too hazardous for humans. Goodliffe's most cited paper, "Towards safe, efficient long-reach manipulation in nuclear decommissioning" (2024, 13 citations), presents a compelling case study on fuel debris retrieval at Fukushima Daiichi, highlighting how robotics can revolutionize decommissioning while overcoming issues of restricted access and cramped spaces. He is also the architect of the CorteX software framework (2020, 9 citations), a groundbreaking platform enabling interoperable, plug-and-play, distributed robotic systems. This innovation is further applied in his work on futureproof fusion power plants (2021, 5 citations), where he addresses the integration of hundreds of evolving systems from multiple suppliers over decades-long lifetimes. Goodliffe's contributions are pivotal in transitioning from human-dependent to robotic solutions in nuclear environments, directly impacting global energy strategies and the safe decommissioning of legacy facilities.

Research Focus

Key Achievements

3
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Towards safe, efficient long-reach manipulation in nuclear decommissioning: A case study on fuel debris retrieval at Fukushima Daiichi
13 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: United Kingdom Atomic Energy Authority, Culham Science Centre

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago