Planning robotic agent actions using semantic knowledge for a home environment

article

Bernardo, Rodrigo
Sousa, J.M.C.
Gonçalves, P.J.S.

OAE Publishing Inc.

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

10.20517/ir.2021.10

Planning robotic agent actions using semantic knowledge for a home environment

Ontologies
autonomous robotics
planning
knowledge representation
semantic maps

FCT - Foundation for Science and Technology, I.P., through IDMEC, under LAETA, project UIDB/50022/2020
PhD Scholarship BD\6841\2020 from FCT
European Union’s Horizon 2020 programme under StandICT.eu 2023 (under Grant Agreement No.: 951972)

2021-12-28T11:01:19Z
2021-12-28T11:01:19Z
2021

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.
info:eu-repo/semantics/publishedVersion

openAccess
http://creativecommons.org/licenses/by/4.0/

eng