2013 IEEE International Conference on Robotics and Automation 2013
DOI: 10.1109/icra.2013.6630733
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Autonomous dirt detection for cleaning in office environments

Abstract: The advances of technologies for mobile robotics enable the application of robots to increasingly complex tasks. Cleaning office buildings on a daily basis is a problem that could be partially automatized with a cleaning robot that assists the cleaning professional yielding a higher cleaning capacity. A typical task in this domain is the selective cleaning, that is a focused cleaning effort to dirty spots, which speeds up the overall cleaning procedure significantly. To enable a robotic cleaner to accomplish t… Show more

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Cited by 21 publications
(29 citation statements)
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References 9 publications
(13 reference statements)
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“…Boeing is also exploring a prototype self‐sanitizing lavatory that uses ultraviolet light to kill 99.99% of pathogens (Boeing, ). At the same time, robotic systems for dirt detection and autonomous cleaning of contaminated surfaces (Bormann, Weisshardt, Arbeiter, & Fischer, ) and smart touch‐free hand‐washing systems (Smixin, ) are promising tools on the evolution of cleaning technologies.…”
Section: Discussionmentioning
confidence: 99%
“…Boeing is also exploring a prototype self‐sanitizing lavatory that uses ultraviolet light to kill 99.99% of pathogens (Boeing, ). At the same time, robotic systems for dirt detection and autonomous cleaning of contaminated surfaces (Bormann, Weisshardt, Arbeiter, & Fischer, ) and smart touch‐free hand‐washing systems (Smixin, ) are promising tools on the evolution of cleaning technologies.…”
Section: Discussionmentioning
confidence: 99%
“…Boeing is also exploring a prototype self-sanitizing lavatory that uses ultraviolet light to kill 99.99% of pathogens 48 . At the same time, robotic systems for dirt detection and autonomous cleaning of contaminated surfaces 49 and smart touch-free hand washing systems 50 are promising tools on the evolution of cleaning technologies.…”
Section: Discussionmentioning
confidence: 99%
“…Bormann et al (2013) developed an autonomous dirt detection system, but they do not tackle the problem of cleaning. Hess et al (2011) formulate a table cleaning problem as a Markov Decision Process (MDP).…”
Section: Previous Workmentioning
confidence: 99%