Papers
8
Total Citations
56
H-Index
5
About
Eric Postma is a researcher whose work bridges robotics, cognitive science, and artificial intelligence, with a focus on embodied cognition and autonomous systems. His key research areas include robot foraging behavior, evolutionary robotics, and the simulation of cognitive processes in artificial agents. Postma’s major contributions lie in advancing macroscopic analysis of robot behavior, moving beyond traditional microscopic studies to understand system-level dynamics in foraging tasks. He has also pioneered the use of evolutionary algorithms to evolve neural controllers for robots, enabling them to learn complex behaviors like box-pushing through adaptive learning. His work on pro-active embodied agents explores how neural mechanisms can process temporal information, enhancing robot autonomy. Additionally, Postma has investigated how robots and embodied conversational agents can represent and perceive affective facial expressions using facial landmarks, contributing to human-robot interaction. With over 56 citations across his most-cited papers, his research has influenced fields from cognitive modeling to social robotics. Notable achievements include his exploration of symbol manipulation through internal simulation of perception and behavior, offering a novel perspective on cognition as simulated interaction with the environment.
Research Focus
Key Achievements
Top Papers
- 1Macroscopic analysis of robot foraging behaviour15 citations · 2004
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- 4Evolutionary Learning of a Neural Robot Controller6 citations · 2001
- 5Symbol manipulation by internal simulation of perception and behaviour.5 citations · 2005
- 6TOWARD A VISUAL COGNITIVE SYSTEM USING ACTIVE TOP-DOWN SACCADIC CONTROL4 citations · 2008
- 7Categorisation through internal simulation of perception and behaviour3 citations · 2005
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