5 papers
Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments
Jing Liu, Hemant Singh, Saber Elsayed +2
Robotic shepherding is a bio-inspired approach to autonomously guiding a swarm of agents towards a desired location. The research area has earned increasing research interest recen…
Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution
Saber Elsayed, Hemant Singh, Essam Debie +4
Shepherding involves herding a swarm of agents (\emph{sheep}) by another a control agent (\emph{sheepdog}) towards a goal. Multiple approaches have been documented in the literatur…
Machine Education: Designing semantically ordered and ontologically guided modular neural networks
Hussein A. Abbass, Sondoss Elsawah, Eleni Petraki +1
The literature on machine teaching, machine education, and curriculum design for machines is in its infancy with sparse papers on the topic primarily focusing on data and model eng…
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control
Phillip Smith, Aldeida Aleti, Vincent C. S. Lee +2
This paper explores the use of a novel form of Hierarchical Graph Neurons (HGN) for in-operation behaviour selection in a swarm of robotic agents. This new HGN is called Robotic-HG…
Swarm Behaviour Evolution via Rule Sharing and Novelty Search
Phillip Smith, Robert Hunjet, Aldeida Aleti +1
We present in this paper an exertion of our previous work by increasing the robustness and coverage of the evolution search via hybridisation with a state-of-the-art novelty search…