Papers

15

Total Citations

278

H-Index

8

About

Matt Webster is a prominent researcher specializing in formal verification, autonomous robotics, and the safety and trustworthiness of AI-driven systems. His work addresses one of the most pressing challenges in modern robotics: ensuring that autonomous systems operating alongside humans are provably safe and reliable. Webster's early contributions, including his 2014 and 2015 studies on formal verification of the Care-O-bot personal robotic assistant, established foundational methodologies for applying model-checking techniques to high-level robotic planners — work that has collectively garnered over 100 citations. His research extends across diverse high-stakes domains, from healthcare companions to nuclear inspection and deep space exploration, as evidenced by his widely cited 2021 overviews of verification and validation challenges for inspection robots and space autonomous systems. Webster has also advanced human-robot interaction through innovative work on explainability, notably his "Why Did You Do That?" Button paper, which addresses how robots can communicate their decision-making to end users. Through tools like CRutoN and collaborations spanning industrial and space applications, his contributions have meaningfully shaped how the robotics community approaches certification, safety assurance, and the responsible deployment of autonomous systems.

Research Focus

Key Achievements

8
H-Index
15
Papers
278
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Toward Reliable Autonomous Robotic Assistants Through Formal Verification: A Case Study
70 citations · 2015
📈 Most Prolific Year: 2021 (5 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: University of Liverpool, Liverpool John Moores University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago