Bernhard Hommel
Leiden University, Shandong Normal University, Constructor University
Papers
8
Total Citations
146
H-Index
5
About
Bernhard Hommel is a cognitive scientist whose research sits at the fascinating intersection of human action control, cognitive psychology, and robotics. His work has made significant strides in bridging our understanding of human information processing with the design of intelligent robotic systems, contributing foundational insights to the emerging field of cognitive robotics. Hommel's most influential contribution, a computational model of perception and action for cognitive robotics (2011, 49 citations), challenged traditional stage-based models of information processing by offering a more integrated framework applicable to real-world robotic environments. His research on everyday robotic action (2014, 18 citations) further translated lessons from human action control into practical guidance for robots navigating complex, uncertain tasks like cooking and cleaning. A distinctive thread in Hommel's work explores the social and psychological dimensions of human-robot interaction. His studies on anthropomorphization reveal how people attribute human-like qualities to robots — influenced by synchronized movement, fairness judgments, and prior experience — with implications for robot design and deployment in healthcare, education, and service industries. With work spanning computational modeling, action anticipation, and social robotics, Hommel's research continues to shape how scientists and engineers think about building robots that are not only capable but also meaningfully understood and accepted by the humans they serve.
Research Focus
Key Achievements
Top Papers
- 1A computational model of perception and action for cognitive robotics49 citations · 2011
- 2
- 3The Impact of Human–Robot Synchronization on Anthropomorphization19 citations · 2019
- 4Everyday robotic action: lessons from human action control18 citations · 2014
- 5Anticipative Control of Voluntary Action: Towards a Computational Model5 citations · 2009
- 6
- 7The Impact of Social Inter-Robot Encounters on User Perception2 citations · 2024
- 8