Robotic floor-tiling platform system design

Liu, Tian‐Yu; Zhou, Huixing; Lan, Haiming; Yang, Li; Wang, Qingsheng; Che, Xuena

doi:10.1109/iecon.2019.8927700

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…At present, interior finishing robots find primary application in various tasks, such as floor tiling (Liu et al, 2019; Wang et al, 2021), ceiling installation (Fukui et al, 2020), tiling (Budig, 2014), wall polishing (Zhou et al, 2019), painting (Asadi et al, 2018), plastering (Bulgakov et al, 2019), and quality inspection (Yan et al, 2019). Within the domain of plastering robots, a distinction can be made based on whether their operations entail direct contact with the working environment.…”

Section: Related Workmentioning

confidence: 99%

Puttybot: A sensorized robot for autonomous putty plastering

Liu,

Chen,

Eldosoky

et al. 2024

Journal of Field Robotics

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Plastering is dominated manually, exhibiting low levels of automation and inconsistent finished quality. A comprehensive review of literature indicates that extant plastering robots demonstrate a subpar performance when tasked with rectifying defects in the transition area. The limitations encompass a lack of capacity to independently evaluate the quality of work or perform remedial plastering procedures. To address this issue, this research describes the system design of the Puttybot and a paradigm of plastering to solve the stated problems. The Puttybot consists of a mobile chassis, a lift platform, and a macro/micromanipulator. The force‐controlled scraper parameters have been calibrated to dynamically modify their rigidity in response to the applied putty. This strategy utilizes convolutional neural networks to identify plastering defects and executes the plastering operation with force feedback. This paradigm's effectiveness was validated during an autonomous plastering trial wherein a large‐scale wall was processed without human involvement.

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Section: Related Workmentioning

confidence: 99%

Puttybot: A sensorized robot for autonomous putty plastering

Liu,

Chen,

Eldosoky

et al. 2024

Journal of Field Robotics

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show abstract

“…At present, interior finishing robots find primary application in various tasks such as floor tiling 4,5 , ceiling installation 6 , tiling 7 , wall polishing 8 , painting 9 , plastering 3 , and quality inspection 10 . Within the domain of plastering robots, a distinction can be made based on whether their operations entail direct contact with the working environment.…”

Section: Related Workmentioning

confidence: 99%

Puttybot - A sensorized robot for autonomous putty plastering

Liu,

Chen,

Eldosoky

et al. 2023

Preprint

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Plastering is dominated manually, exhibiting low levels of automation and inconsistent finished quality. A comprehensive review of literature indicates that extant plastering robots demonstrate a subpar performance when tasked with rectifying defects in transition area. The limitations encompass a lack of capacity to independently evaluate the quality of work or perform remedial plastering procedures. To address this issue, this research describes the system design of the Puttybot and a paradigm of plastering to solve the stated problems. The Puttybot consists of a mobile chassis, lift platform, and a macro/micro manipulator. The force-controlled scraper parameters have been calibrated to dynamically modify their rigidity in response to the applied putty. This strategy utilizes Convolutional Neural Networks to identify plastering defects and executes the plastering operation with force feedback. This paradigm’s effectiveness was validated during an autonomous plastering trial wherein a large-scale wall was processed without human involvement.

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“…In 2011, Khan et al [17] presented a semiautomatic floor-tiling robot, which requires some manual operations to achieve floor tiling. In 2019, Li et al [18] proposed a vision-based adaptive control method for tile paving, and Liu et al [19,20] developed a mobile robot for floor tiling that used laser sensors to measure size and position of tiles. However, in existing related studies, the floor-tiling methods adopt semiautomation or humanmachine cooperation, and only some simple visual measurements are carried out.…”

Section: Related Workmentioning

confidence: 99%

“…e ceramic tile position measurement is a prerequisite for accurate floortiling control. e existing research results mainly used laser sensors [17,19,20] and vision sensors [16][17][18] to measure the size and position of tiles. e measurement methods with laser sensors require multiple laser sensors or a single sensor for multipoint measurement.…”

Section: Ceramic Tile Position Measurementmentioning

confidence: 99%

Robot Floor‐Tiling Control Method Based on Finite‐State Machine and Visual Measurement in Limited FOV

Wang

Zhou

Zhang

et al. 2021

Advances in Civil Engineering

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In recent years, accelerative aging society is meeting the short supply of young and middle-aged labor. Particularly, most young people are reluctant to work in the construction industry, which has caused the labor cost of floor tiling to rise year by year. In addition, floor tiling requires workers to continuously bend over or lean over to work, which greatly jeopardizes the physical health of them. Therefore, advanced technology applied in floor tiling is highly demanded to replace the traditional manual method. On the context, the automatic method of floor tiling may promote the transformation and upgrading of the industry. Although a few robots for floor tiling have been developed, the automation of existing systems is still at a low level. This paper proposes a robot floor-tiling control strategy based on visual measurement feedback and finite-state machine, in which the calculation of tile position information in limited field of vision is obtained by an improved Canny edge detection and a Hough linear transformation. Moreover, an algorithm for complementing tile position information based on visual measurement is proposed, and the quality of tile laying is evaluated online. To evaluate the effect of the proposed control strategy, the experimental verifications are given. The experimental results indicate that the proposed method can complete the automatic floor tiling with high accuracy.

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Robotic floor-tiling platform system design

Cited by 4 publications

References 6 publications

Puttybot: A sensorized robot for autonomous putty plastering

Puttybot: A sensorized robot for autonomous putty plastering

Puttybot - A sensorized robot for autonomous putty plastering

Robot Floor‐Tiling Control Method Based on Finite‐State Machine and Visual Measurement in Limited FOV

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