ArticleCognitive processing2011
A computational model of perception and action for cognitive robotics.
Article in Cognitive processing, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Cognitive Activity of an Individual Under Conditions of Information Influence of Different Modalities: Model and Experimental Research.Entropy (Basel, Switzerland) · 2025Article
- How the conception of control influences our understanding of actions.Nature reviews. Neuroscience · 2023Review
- Toward an idiomatic framework for cognitive robotics.Patterns (New York, N.Y.) · 2022Article
- An Episodic Model of Task Switching Effects: Erasing the Homunculus from Memory.Journal of cognition · 2020Article
- The test of both worlds: identifying feature binding and control processes in congruency sequence tasks by means of action dynamics.Psychological research · 2018Article
- HiTEC: a connectionist model of the interaction between perception and action planning.Psychological research · 2017Article
- A continuous-time neural model for sequential action.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Article
- How Task Goals Mediate the Interplay between Perception and Action.Frontiers in psychology · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robots are increasingly expected to perform tasks in complex environments. To this end, engineers provide them with processing architectures that are based on models of human information processing. In contrast to traditional models, where information processing is typically set up in stages (i.e., from perception to cognition to action), it is increasingly acknowledged by psychologists and robot engineers that perception and action are parts of an interactive and integrated process. In this paper, we present HiTEC, a novel computational (cognitive) model that allows for direct interaction between perception and action as well as for cognitive control, demonstrated by task-related attentional influences. Simulation results show that key behavioral studies can be readily replicated. Three processing aspects of HiTEC are stressed for their importance for cognitive robotics: (1) ideomotor learning of action control, (2) the influence of task context and attention on perception, action planning, and learning, and (3) the interaction between perception and action planning. Implications for the design of cognitive robotics are discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.