About

Sascha Griffiths is a leading researcher in cognitive robotics and human-robot interaction (HRI), whose work focuses on making robots more socially intelligent and adaptive. His key contributions lie in personalisation, social navigation, and developmental robotics—exploring how robots can learn from humans in natural, interactive settings. His highly cited paper, “The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios” (66 citations), demonstrates how robots can model personalised dialogue to accommodate user preferences, enabling more natural and effective interactions. Griffiths also contributed to the ITALK Project, a multidisciplinary initiative that integrates language, action, and cognition in robots to study human language development. His work on social navigation, such as identifying robot navigation patterns in path-crossing scenarios (28 citations), addresses the challenges of robots moving safely and politely in human spaces. He has also explored emotion expression learning in the iCub robot using human reward (16 citations) and designed personality-driven robots for social acceptance studies. With over 250 total citations, Griffiths’ research bridges AI, psychology, and robotics, advancing the development of companion robots that can engage users in meaningful, personalised, and socially aware interactions.

Research Focus

Key Achievements

8
H-Index
23
Papers
309
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios
66 citations · 2017
📈 Most Prolific Year: 2013 (5 Papers)
🤝 Key Collaborators: 122
🏛 Institutions: Universität Hamburg, Queen Mary University of London, Technical University of Munich, Hamburg University of Technology, Hochschule Bielefeld, Bielefeld University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago