4.6 Article

Mixed Reality for Safe and Reliable Human-Robot Collaboration in Timber Frame Construction

期刊

BUILDINGS
卷 13, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/buildings13081965

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mixed reality; human-robot collaboration; digital twin; robotic manufacturing; digital wood stereotomy; timber frame construction

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This paper discusses the potential of human-robot collaboration and mixed reality (MR) in construction, specifically in wood stereotomy. The authors propose a method that utilizes visual feedback to enable real-time interpretation and execution of operations in collaboration between humans and robots. The experimental results provide insights into the communication requirements for collaborative robot systems in timber frame construction.
In the field of construction, human-robot collaboration and mixed reality (MR) open new possibilities. However, safety and reliability issues persist. The lack of flexibility and adaptability in current preprogrammed systems hampers real-time human-robot collaboration. A key gap in this area lies in the ability of the robot to interpret and accurately execute operations based on the real-time visual instructions and restrictions provided by the human collaborator and the working environment. This paper focuses on an MR-based human-robot collaboration method through visual feedback from a vision-based collaborative industrial robot system for use in wood stereotomy which we are developing. This method is applied to an alternating workflow in which a skilled carpenter lays out the joinery on the workpiece, and the robot cuts it. Cutting operations are instructed to the robot only through lines and conventional carpenter's marks, which are drawn on the timbers by the carpenter. The robot system's accuracy in locating and interpreting marks as cutting operations is evaluated by automatically constructing a 3D model of the cut shape from the vision system data. A digital twin of the robot allows the carpenter to previsualize all motions that are required by the robot for task validation and to know when to enter the collaborative workspace. Our experimental results offer some insights into human-robot communication requirements for collaborative robot system applications in timber frame construction.

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