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Planning robotic agent actions using semantic knowledge for a home environment

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Autonomous mobile robotic agents are increasingly present in highly dynamic environments, thus making the planning and execution of their tasks challenging. Task planning is vital in directing the actions of a robotic agent in domains where a causal chain could lock the agent into a dead-end state. This paper proposes a framework that integrates a domain ontology (home environment ontology) with a task planner (ROSPlan) to translate the objectives coming from a given agent (robot or human) into executable actions by a robotic agent.

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Ontologies Autonomous robotics Planning Knowledge representation Semantic maps

Citation

Bernardo R, Sousa JMC, Gonçalves PJS. Planning robotic agent actions using semantic knowledge for a home environment. Intell Robot 2021;1(2):101-15. http://dx.doi.org/10.20517/ir.2021.10

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