Jonathan M. Aitken
Papers
27
Total Citations
649
H-Index
15
About
Jonathan M. Aitken is a robotics researcher whose work spans human-robot interaction, autonomous systems, and safety assurance in collaborative robotics. With over 470 citations across his most influential publications, Aitken has established himself as a significant contributor to the rapidly evolving fields of intelligent robotics and smart infrastructure. Aitken's research into human-robot interaction explores how robots can be made more trustworthy and intuitive for everyday users. His 2020 study on social-cognitive recovery strategies (100 citations) revealed how robots can rebuild trust after failures, while earlier work on graphical signage and framing factors in HRI demonstrated his commitment to making robotic systems accessible to novice users in industrial environments. On the technical frontier, his highly cited review of SLAM for pipe inspection robots (85 citations) charts a compelling roadmap toward autonomous monitoring of urban infrastructure. His development of a modular digital twinning framework (61 citations) for collaborative robotics safety has provided industry with practical tools for designing and verifying safe human-robot workflows, complemented by his verified synthesis approach to safety controller design. From nuclear waste management to drone inspection and ROS integration for collaborative manipulators, Aitken's portfolio reflects a researcher driven by real-world impact — bridging theoretical rigor with the practical demands of Industry 4.0 and beyond.
Research Focus
Key Achievements
Top Papers
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- 4A ROS-integrated API for the KUKA LBR iiwa collaborative robot43 citations · 2017
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- 7Autonomous Nuclear Waste Management32 citations · 2018
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- 10Towards Autonomous Robotic Systems24 citations · 2016