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A computational model of perception and action for cognitive robotics
Pascal Haazebroek1, Saskia van Dantzig, Bernhard Hommel
1Cognitive Psychology Unit and Leiden Institute for Brain and Cognition, Leiden, The Netherlands. phaazebroek@fsw.leidenuniv.nl
Cognitive Processing
|May 21, 2011
Summary
This study introduces HiTEC, a cognitive model for robots that integrates perception and action for better task performance. It highlights how attention and context influence robot learning and behavior in complex environments.
Area of Science:
- Robotics
- Cognitive Science
- Computational Neuroscience
Background:
- Traditional robot processing models separate perception, cognition, and action.
- Human information processing is increasingly understood as an integrated perception-action loop.
- Robots need to operate effectively in complex, dynamic environments.
Purpose of the Study:
- To present HiTEC, a novel computational model for cognitive robotics.
- To enable direct interaction between perception and action in robots.
- To incorporate cognitive control mechanisms, such as attention, into robot processing.
Main Methods:
- Developed the HiTEC computational (cognitive) model.
- Simulated robot behavior using the HiTEC model.
- Focused on ideomotor learning, context/attention influences, and perception-action interaction.
Main Results:
- HiTEC successfully replicated key findings from behavioral studies.
- Demonstrated task-related attentional influences on robot processing.
- Showcased the importance of integrated perception-action for cognitive robotics.
Conclusions:
- HiTEC offers a new paradigm for cognitive robotics design.
- Ideomotor learning and attentional control are crucial for robot adaptability.
- The interaction between perception and action planning is key for intelligent robot behavior.
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