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Can cheap robotic vacuum cleaners be made more efficient?: A computer simulation of a smarter robotic vacuum cleaner
KTH, School of Electrical Engineering and Computer Science (EECS).
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Kan billiga robotdammsugare göras effektiva? (Swedish)
Abstract [en]

Robotic vacuum cleaners are popular domestic robots that clean floors without human intervention. The purpose of this report is to study how cheap robotic vacuum cleaners’ navigation pattern can be improved. This is achieved by simulating two models of robotic vacuum cleaners, one “simple” and one “smart”, both relying on the knowledge that cheap sensors can provide about the surrounding environment. As the results show how the smart robot is better than the simple robot in all simulations in terms of floor coverage, the results are considered successful. The fact that the simulations are simplified versions of real-life robotic vacuum cleaners is discussed, and future work could consider examining more realistic simulations or experiment on real-life robotic vacuum cleaners.

Abstract [sv]

Robotdammsugare är populära hushållsrobotar som städar golv utan människors inblandning. Syftet med den här rapporten är att undersöka hur billiga robotdammsugares navigeringsmönster kan förbättras. Detta görs genom att simulera två modeller av robotdammsugare, en "simpel" och en "smart", där båda förlitar sig på information som billiga sensorer kan ge om omgivningen. Resultaten anses vara lyckade då de visar hur den smarta roboten presterar bättre än den simpla roboten i alla simulationer. Faktumet att simulationerna är simplifierade versioner av verkliga robotdammsugare diskuteras och framtida forskning kan undersöka mer realistiska simulationer eller experimentera med riktiga robotdammsugare.

Place, publisher, year, edition, pages
2018.
Series
TRITA-EECS-EX ; 2018:189
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-230228OAI: oai:DiVA.org:kth-230228DiVA, id: diva2:1217178
Supervisors
Examiners
Available from: 2018-07-10 Created: 2018-06-12 Last updated: 2018-07-10Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
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