Papers
19
Total Citations
373
H-Index
10
About
Jurriaan van Diggelen is a prominent researcher specializing in human-robot teaming, collaborative AI systems, and the design of intelligent systems for high-stakes environments. His work is most prominently anchored in Urban Search and Rescue (USAR), where he has made sustained contributions to understanding how robots and humans can function as genuine teammates rather than merely tools. Through his involvement in the EU-funded NIFTi project, van Diggelen helped design, develop, and deploy sophisticated human-robot team systems for disaster response scenarios, earning his most-cited works over 88 and 71 citations respectively. Beyond robotics, van Diggelen has advanced the theoretical underpinnings of human-agent-robot collaboration more broadly. His development of team design patterns and interaction design pattern frameworks provides researchers and practitioners with structured, reusable methodologies for building complex collaborative systems — work that has resonated across disciplines. His 2020 paper on moral decision-making allocation in human-agent teams reflects an emerging concern with the ethical dimensions of AI integration in critical domains. Spanning over a decade of research, van Diggelen's portfolio demonstrates a consistent commitment to bridging cognitive engineering, robotics, and responsible AI design, making his work essential reading for anyone working at the frontier of human-machine collaboration.
Research Focus
Key Achievements
Top Papers
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- 3From Tools to Teammates: Joint Activity in Human-Agent-Robot Teams34 citations · 2009
- 4Designing Intelligent Robots for Human-Robot Teaming in Urban Search and Rescue25 citations · 2012
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- 6Allocation of Moral Decision-Making in Human-Agent Teams: A Pattern Approach22 citations · 2020
- 7Experience in system design for human-robot teaming in urban search & rescue21 citations · 2025
- 8Team Design Patterns16 citations · 2019
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