research
∙
01/25/2023
Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments
Robotic shepherding is a bio-inspired approach to autonomously guiding a...
share
research
∙
11/22/2022
Contextually Aware Intelligent Control Agents for Heterogeneous Swarms
An emerging challenge in swarm shepherding research is to design effecti...
research
∙
08/26/2022
Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts
Contemporary swarm indicators are often used in isolation, focused on ex...
research
∙
04/01/2022
Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance
Neural-based learning agents make decisions using internal artificial ne...
research
∙
09/14/2021
Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control
Artificial Intelligence (AI) is rapidly becoming integrated into militar...
research
∙
01/04/2019
Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding
The design of reward functions in reinforcement learning is a human skil...
research
∙
01/04/2019
Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design
Swarm control is a difficult problem due to the need to guide a large nu...
research
∙
12/21/2018
Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents
Artificial Intelligence (AI) technologies could be broadly categorised i...
research
∙
10/10/2018
Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction
In apprenticeship learning (AL), agents learn by watching or acquiring h...
research
∙
08/19/2018
Mixed Initiative Systems for Human-Swarm Interaction: Opportunities and Challenges
Human-swarm interaction (HSI) involves a number of human factors impacti...
research
∙
02/27/2018
Networking the Boids is More Robust Against Adversarial Learning
Swarm behavior using Boids-like models has been studied primarily using ...
research
∙
02/27/2018
A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents
This paper offers a multi-disciplinary review of knowledge acquisition m...
research
∙
02/27/2018
Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition
In this paper we provide an insight into the skill representation, where...
research
∙
02/27/2018
On the role of working memory in trading-off skills and situation awareness in Sudoku
Working memory accounts for the ability of humans to perform cognitive p...
research
∙
02/26/2018
Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model
Sociotechnical systems are complex systems, where nonlinear interaction ...
research
∙
12/19/2017
Effects of update rules on networked N-player trust game dynamics
We investigate the effects of update rules on the dynamics of an evoluti...
research
∙
07/03/2009
Robustness and Adaptiveness Analysis of Future Fleets
Making decisions about the structure of a future military fleet is a cha...
research
∙
07/03/2009
Network Topology and Time Criticality Effects in the Modularised Fleet Mix Problem
In this paper, we explore the interplay between network topology and tim...
research
∙
07/03/2009
