Marcus Liljenberg

Lund University

Papers

1

Total Citations

5

H-Index

1

About

Marcus Liljenberg is a researcher in human-robot interaction, with a particular focus on the cognitive and affective dimensions of robotic systems. His most cited work, "The Expression of Mental States in a Humanoid Robot" (2017), has garnered 5 citations and represents a foundational contribution to the field of social robotics. In this study, Liljenberg explores how humanoid robots can be designed to convey internal mental states—such as emotions, intentions, and attention—through non-verbal cues and behavioral expressions. This research bridges robotics, psychology, and artificial intelligence, offering insights into how robots can become more intuitive and relatable partners for humans. By investigating the mechanisms behind expressive behavior, Liljenberg’s work has implications for developing robots that can engage in more natural and empathetic interactions, particularly in caregiving, education, and collaborative settings. His contributions are notable for their interdisciplinary approach and practical relevance, helping to shape the future of socially aware machines. Liljenberg’s research continues to inspire new directions in designing robots that are not only functional but also emotionally intelligent.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
The Expression of Mental States in a Humanoid Robot
5 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Lund University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago