Alan Burden

Queensland University of Technology

Papers

10

Total Citations

103

H-Index

4

About

Alan Burden is an emerging researcher whose work sits at the intersection of human-robot collaboration (HRC), human factors, and socio-technical systems design. His research spans both industrial and medical contexts, examining how people and robots can work together more effectively, safely, and meaningfully. Burden has made notable contributions through a series of influential scoping reviews that map the landscape of HRC research — his 2022 paper on cobot trends in construction has already attracted 48 citations, while subsequent reviews on human decision-making and human factors in HRC design reflect a deepening commitment to understanding the psychological, social, and ergonomic dimensions of collaborative robotics in the Industry 4.0 and 5.0 era. What distinguishes Burden's work is his willingness to move beyond controlled laboratory settings into complex real-world environments. His investigations into Mako-assisted surgical robotics — including ethnographic studies of joint replacement procedures — demonstrate a rare methodological ambition, combining rigorous human factors analysis with reflexive, in-the-wild research practices. His contributions to socio-technical dependency mapping further establish him as a thinker attentive to the systemic challenges of cobot adoption in industry. With over 100 citations accumulated across a relatively short career, Burden is rapidly establishing himself as a significant voice in human-centred robotics research.

Research Focus

Key Achievements

4
H-Index
10
Papers
103
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Towards human–robot collaboration in construction: current cobot trends and forecasts
48 citations · 2022
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Queensland University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago