Online Learning and Planning in Cognitive Hierarchies

Autor: Hengst, Bernhard, Pagnucco, Maurice, Rajaratnam, David, Sammut, Claude, Thielscher, Michael
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv