Hannes Rieser

Bielefeld University

Papers

2

Total Citations

8

H-Index

2

About

Hannes Rieser is a pioneering researcher at the intersection of artificial intelligence, cognitive psychology, philosophy, robotics, and semantics. His work focuses on the critical challenge of grounding natural kind terms in human-robot communication—investigating how robots can acquire and understand concepts like "banana" or "hand" through dialogic interaction. Rieser’s most cited paper (2013, 6 citations) establishes a foundational framework for this interdisciplinary endeavor, exploring whether robots can achieve the kind of semantic grounding favored in AI. His follow-up work (2013, 2 citations) extends this by emphasizing dialogue as the natural medium for transferring human communicative competences to robots, arguing that basic human interaction is mediated by exchange. Though his citation counts are modest, Rieser’s contributions are notable for their bold synthesis of disparate fields—bridging philosophical theories of reference with robotic implementation. His research raises profound questions about the nature of meaning, perception, and social cognition in artificial agents, making him a distinctive voice in the emerging field of robot semantics. For students and researchers, Rieser’s work offers a compelling entry point into the challenges of building robots that can genuinely understand and talk about the world.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
On Grounding Natural Kind Terms in Human-Robot Communication
6 citations · 2013
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Bielefeld University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago