Work

Development of Continuous Plastering by a Robotic Arm Based on Automatic Evaluation Using Machine Learning

Year: 2026

Type: article

Abstract: This study aims to develop a continuous plastering system using a robot arm that collaborates with traditional plasterers. In Japanese plastering, plasterers visually evaluate surface quality and predict trowel movements. We employ an automatic evaluation method utilizing depth images and a deep convolutional neural network for large-scale image recognition. A key feature is the use of a dataset that includes various plastering defects under different image resolutions and lighting conditions. Based on the evaluation results, the robot performs additional plastering to cover unplastered areas. This system enables continuous operation under diverse conditions and reduces the workload of human plasterers.

Source: Journal of Environmental Engineering (Transactions of AIJ)

DOI: 10.3130/aije.91.235

Authors: Ikumi NOBORIO, Rihito MORIMOTO, Tomomasa NISHIMURA, Weiwei DU, Makoto MURAMOTO

Institutions: Kyoto Institute of Technology, NTT DOCOMO, Inc. (Japan), Takenaka (Japan)

Language: English

Topic: Robot Manipulation and Learning

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W7147292419

FWCI:

Cites:

Cited by:

Related to: