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Hyper-heuristic Learning for Swarm Robots

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thesis
posted on 2020-06-16, 15:13 authored by SHUANG YU
This thesis develops a framework for automatic construction of complex swarm robot behaviours. It demonstrates the benefit of machine learning in assisting swarm robots in unknown and dynamic environments.

History

Campus location

Australia

Principal supervisor

Aldeida Aleti

Additional supervisor 1

Andy Song

Year of Award

2020

Department, School or Centre

Information Technology (Monash University Caulfield)

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology

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    Faculty of Information Technology Theses

    Categories

    Keywords

    swarm robotsmulti-agent learninghyper-heuristic learningcollective behaviourreinforcement learningKnowledge Representation and Machine LearningAdaptive Agents and Intelligent Robotics

    Licence

    In Copyright

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