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arXiv · 2310.12386

Online Learning and Planning in Cognitive Hierarchies

Bernhard Hengst·Maurice Pagnucco·David Rajaratnam·Claude Sammut·Michael Thielscher
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Abstract

Complex robot behaviour typically requires the integration of multiple robotic and Artificial Intelligence (AI) techniques and components. Integrating such disparate components into a coherent system, while also ensuring global properties and behaviours, is a significant challenge for cognitive robotics. Using a formal framework to model the interactions between components can be an important step in dealing with this challenge. In this paper we extend an existing formal framework [Clark et al., 2016] to model complex integrated reasoning behaviours of robotic systems; from symbolic planning through to online learning of policies and transition systems. Furthermore the new framework allows for a more flexible modelling of the interactions between different reasoning components.

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Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher. 2023-10-18. Online Learning and Planning in Cognitive Hierarchies. https://arxiv.org/abs/2310.12386

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