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2018 | OriginalPaper | Chapter

Task and Spatial Planning by the Cognitive Agent with Human-Like Knowledge Representation

Authors : Ermek Aitygulov, Gleb Kiselev, Aleksandr I. Panov

Published in: Interactive Collaborative Robotics

Publisher: Springer International Publishing

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Abstract

The paper considers the task of simultaneous learning and planning actions for moving a cognitive agent in two-dimensional space. Planning is carried out by an agent who uses an anthropic way of knowledge representation that allows him to build transparent and understood planes, which is especially important in case of human-machine interaction. Learning actions to manipulate objects is carried out through reinforcement learning and demonstrates the possibilities of replenishing the agent’s procedural knowledge. The presented approach was demonstrated in an experiment in the Gazebo simulation environment.

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next chapter Path Finding for the Coalition of Co-operative Agents Acting in the Environment with Destructible Obstacles
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Metadata
Title
Task and Spatial Planning by the Cognitive Agent with Human-Like Knowledge Representation
Authors
Ermek Aitygulov
Gleb Kiselev
Aleksandr I. Panov
Copyright Year
2018
Book
Interactive Collaborative Robotics

Print ISBN: 978-3-319-99581-6

Electronic ISBN: 978-3-319-99582-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-99582-3_1

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