Online Behaviour Tree Synthesis for Adaptive Multi-Agent Coordination
Project Member(s): Best, G.
Funding or Partner Organisation: Google LLC
Google LLC
Start year: 2023
Summary: We have an expanding research program that aims to improve the usability of behaviour trees via three inter-related threads: (1) automatic synthesis of behaviour tree structures, (2) algorithm development to address specific challenges of multi-agent coordination, and (3) demonstrate their use on physical multi-robot systems in important application domains. This proposal outlines our current research in this field and a pathway for future work
Publications:
Benjamin R., D, Bray, E & Best, G 1970, 'Multi-Goal Path Planning in Cluttered Environments with PRM-Guided Self-Organising Maps', IEEE/RSJ International Conference on Intelligent Robots and Systems, Abu Dhabi, UAE.
FOR Codes: Robotics, Field robotics