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Autonomous cognitive developmental models of robots-a survey

Ke Huang, Xin Ma, Guohui Tian, Yibin Li

Year
2017
Citations
3

Abstract

This article intends to provide an overview of the state of art in developmental models of cognitive robots. With the development of artificial intelligence, robots have been able to perform a variety of complex tasks controlled by human. However, it is still a challenge for robots that they can explore and develop their cognitive ability in the specific environment like human beings. The current researches and experiments endow robots with some cognitive abilities such as identifying their own bodies, exploration behaviors, forming concepts etc. We propose to analyze patterns of robotic cognitive development and models in cutting-edge researches, and discuss advantages and disadvantage of these models. Consequently, we can draw some conclusions that may guide a way for future research.

Keywords

RobotComputer scienceCognitionHuman–computer interactionCognitive scienceArtificial intelligencePsychologyNeuroscience

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