Papers

50

Total Citations

1,364

H-Index

19

About

Dimitrios Chrysostomou is a prominent robotics researcher whose work spans human-robot collaboration, reinforcement learning for manipulation, skill-based robot programming, and intelligent automation for industrial environments. His research sits at the intersection of artificial intelligence and robotics, addressing some of the most pressing challenges in modern manufacturing and sustainable production. Chrysostomou's most cited contribution, "Human–robot collaboration in industrial environments: A literature review on non-destructive disassembly" (2021, 235 citations), establishes him as a leading voice in sustainable robotics and circular economy applications. His highly influential review on reinforcement learning for contact-rich robotic manipulation (2022, 141 citations) has become an essential reference for researchers tackling unstructured real-world environments. A consistent thread throughout his career is the development of skill-based robot co-workers — frameworks enabling collaborative robots to be intuitively programmed and deployed alongside human operators — reflected in several well-cited works from 2017 and 2018. Beyond technical robotics, Chrysostomou has demonstrated a noteworthy breadth by addressing human-robot interaction, intelligent virtual assistants powered by natural language processing, and critically, privacy considerations in the personal robot era. With a body of work accumulating over 900 citations, his research meaningfully shapes how robots are integrated safely, intelligently, and ethically into factories and everyday life.

Research Focus

Key Achievements

19
H-Index
50
Papers
1,364
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Human–robot collaboration in industrial environments: A literature review on non-destructive disassembly
235 citations · 2021
📈 Most Prolific Year: 2022 (8 Papers)
🤝 Key Collaborators: 130
🏛 Institutions: Aalborg University, Democritus University of Thrace, Mondragon Unibertsitatea

Top Papers

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    Human-Robot Interaction
    42 citations · 2020
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Key Collaborators

Contact & Links

Available for collaboration
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