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RISThe Role of Deep Learning in Manufacturing Applications: Challenges and Opportunities
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: There is a growing interest in using deep learning technologies within the manufacturing industry to improve quality, productivity, safety, and efficiency, while also reducing costs and cycle time. This position paper ...
The Role of Deep Learning in Manufacturing Applications: Challenges and Opportunities
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: There is a growing interest in using deep learning technologies within the manufacturing industry to improve quality, productivity, safety, and efficiency, while also reducing costs and cycle time. This position paper ...
Algorithms for Improving Speed and Accuracy of Automated Three-Dimensional Reconstruction With a Depth Camera Mounted on An Industrial Robot
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Three-dimensional reconstruction technology is used in a wide variety of applications. Automatically creating accurate pointclouds for large parts with complex geometries usually requires expensive metrology instruments. ...
A Survey of Wheeled Mobile Manipulation: A DecisionMaking Perspective
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Mobile manipulators that combine base mobility with the dexterity of an articulated manipulator have gained popularity in numerous applications ranging from manufacturing and infrastructure inspection to domestic service. ...
Image-Based Surface Defect Detection Using Deep Learning: A Review
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Automatically detecting surface defects from images is an essential capability in manufacturing applications. Traditional image processing techniques are useful in solving a specific class of problems. However, these ...