Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control

作者：

Highlights：

• Hierarchical graph neurons can be altered for robot observation patterns.

• Robotics can use patterns to identify environment and select optimal behaviour.

• Environment matched in 92.4-98.5% of pre-seen cases.

• Optimal behaviour utilised in 78% of environments prior unseen.

摘要

•Hierarchical graph neurons can be altered for robot observation patterns.•Robotics can use patterns to identify environment and select optimal behaviour.•Environment matched in 92.4-98.5% of pre-seen cases.•Optimal behaviour utilised in 78% of environments prior unseen.

论文关键词：Distorted pattern recognition,Robotic behaviour,Swarm robotics,Hierarchical Graph Neurons

论文评审过程：Received 12 August 2019, Revised 28 June 2021, Accepted 24 July 2021, Available online 13 August 2021, Version of Record 8 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115675