User-centered approach to path planning of cleaning robots

Kim, Hyun‐Jin; Lee, Hyun-Jeong; Chung, Stanley; Kim, Changsu

doi:10.1145/1228716.1228766

Cited by 22 publications

(24 citation statements)

References 9 publications

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“…The robot's cleaning path is closely related to the users' perception of how efficiently the robot cleans. In agreement with the results of Kim et al [9], we found that users desire the robot to plan its path intelligently according to specific aspects such as area / sub-area of a room, floor material, and level of dirt. People generally want a cleaning robot to cover the whole floor.…”

Section: User Studysupporting

confidence: 91%

“…Some concrete design suggestions come from Kim et al [9] and Sung et al [34][35][36]. Kim et al deployed four different vacuuming robots in Korean homes and identified a path-planning behavior of the robot that met the assessed user needs [9].…”

Section: User Studymentioning

confidence: 99%

“…Kim et al deployed four different vacuuming robots in Korean homes and identified a path-planning behavior of the robot that met the assessed user needs [9]. These researchers discovered a discrepancy between the cleaning path people used when manually vacuuming and the paths chosen by the robotic vacuum cleaners.…”

Section: User Studymentioning

confidence: 99%

“…Whereas Kim et al [9] focused on the path-planning of humans and robots when vacuuming, we were interested in more generally exploring the usage and acceptance of vacuum cleaning robots. Kim et al let housewives use vacuum cleaning robots for 10 days, whereas we followed up households over 6 months to be able to understand long-term effects, like user acceptance factors.…”

Section: User Studymentioning

confidence: 99%

“…However, some other topics have long been neglected in the design of robots for specific purposes, including the energy-use implications of some technical choices or harmonious integration of the robot into the user's ecosystem [9]. With technological progress, robotic vacuum cleaners (along with other domestic appliances) are now becoming widely available.…”

Section: Introductionmentioning

confidence: 99%

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Lessons learned from robotic vacuum cleaners entering the home ecosystem

Vaussard

Fink

Bauwens

et al. 2014

Robotics and Autonomous Systems

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This article considers the suitability of current robots designed to assist humans in accomplishing their daily domestic tasks. With several million units sold worldwide, robotic vacuum cleaners are currently the figurehead in this field. As such, we will use them to investigate the following key question: Could a robot possibly replace the hand-operated vacuum cleaner? One must consider not just how well a robot accomplishes its task, but also how well it integrates inside the user's space and perception. We took a holistic approach to addressing these topics by combining two studies in order to build a common ground. In the first of these studies, we analyzed a sample of seven robots to identify the influence of key technologies, like the navigation system, on performance. In the second study, we conducted an ethnographic study within nine households to identify users' needs. This innovative approach enables us to recommend a number of concrete improvements aimed at fulfilling users' needs by leveraging current technologies to reach new possibilities.

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Section: User Studysupporting

confidence: 91%

Section: User Studymentioning

confidence: 99%

Section: User Studymentioning

confidence: 99%

Section: User Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Lessons learned from robotic vacuum cleaners entering the home ecosystem

Vaussard

Fink

Bauwens

et al. 2014

Robotics and Autonomous Systems

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Real World Bayesian Optimization Using Robots to Clean Liquid Spills

Voysey

Hughes

Thuruthel

et al. 2020

Lecture Notes in Computer Science

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Developing robots that can contribute to cleaning could have a significant impact on the lives of many. Cleaning wet liquid spills is a particularly challenging task for a robotic system, and has several high impact applications. This is a hard task to physically model due to the complex interactions between cleaning materials and the surface. As such, to the authors' knowledge there has been no prior work in this area. A new method for finding optimal control parameters for the cleaning of liquid spills is required by developing a robotic system which iteratively learns to clean through physical experimentation. The robot creates a liquid spill, cleans and assesses performance and uses Bayesian optimization to find the optimal control parameters for a given size of liquid spill. The automation process enabled the experiment to be repeated more than 400 times over 20 hours to find the optimal wiping control parameters for many different conditions. We then show that these solutions can be extrapolated for different spill conditions. The optimized control parameters showed reliable and accurate performances, which in some cases, outperformed humans at the same task.

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