Papers

26

Total Citations

357

H-Index

12

About

Martin Cooney is a researcher whose work sits at the compelling intersection of social robotics, human-robot interaction, and assistive technology. His scholarship consistently explores how robots can be meaningfully integrated into domestic and public life by developing socially intelligent behaviors that people find natural, engaging, and emotionally resonant. Cooney's most influential contribution — recognizing affectionate touch in humanoid robots (57 citations) — helped establish foundational principles for companion robots capable of interpreting nuanced human social behavior. Building on this, he investigated gesture recognition, playful interaction, and multimodal communication, demonstrating how small humanoid robots can become genuine social partners rather than mere mechanical tools. His work on robot teaching assistants (33 citations) extended these ideas into educational settings, applying structured engagement frameworks to real classroom environments. Perhaps most distinctively, Cooney has pioneered the emerging field of art therapy robotics (37 citations), exploring how robots might support emotional well-being when human therapists are unavailable — a vision further developed through his research on personalized metaphors enabling robots to communicate creativity and emotion (13 citations). His more recent work on robot self-defense (15 citations) reflects a willingness to tackle ethically complex, forward-looking questions about robots in society. With over 260 cumulative citations, Cooney represents a thoughtful, humanistic voice in social robotics research.

Research Focus

Key Achievements

12
H-Index
26
Papers
357
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Recognizing affection for a touch-based interaction with a humanoid robot
57 citations · 2012
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: The University of Osaka, Halmstad University, Advanced Telecommunications Research Institute International

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago