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Formal verification of robotic behaviors in presence of bounded uncertainties

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Résumé

Robotic behaviors are mainly described by differential equations. Those mathematical models are usually not precise enough because of inaccurately known parameters or model simplifications. Nevertheless, robots are often used in critical contexts as medical or military fields. So, uncertainties in mathematical models have to be taken into account in order to produce reliable and safe analysis results. A framework based on interval analysis is proposed to safely verify and analyze robotic behaviors with bounded uncertainties. It follows an interval constraint programming approach, combined with validated numerical integration methods to deal with differential equations. A case study on robust path planning is presented to emphasize the efficiency of the complete framework.

langue originaleAnglais
titreProceedings - 2017 1st IEEE International Conference on Robotic Computing, IRC 2017
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages81-88
Nombre de pages8
ISBN (Electronique)9781509067237
Les DOIs
étatPublié - 11 mai 2017
Modification externeOui
Evénement1st IEEE International Conference on Robotic Computing, IRC 2017 - Taichung, Taiwan
Durée: 10 avr. 201712 avr. 2017

Série de publications

NomProceedings - 2017 1st IEEE International Conference on Robotic Computing, IRC 2017

Une conférence

Une conférence1st IEEE International Conference on Robotic Computing, IRC 2017
Pays/TerritoireTaiwan
La villeTaichung
période10/04/1712/04/17

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