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Industrial robots play an important role in manufacturing automation for smart manufacturing. Some high-precision applications, for example, robot drilling, robot machining, robot high-precision assembly, and robot inspection, require higher robot accuracy
Robots can perform various typed of automated movements in workspace. In recent years, robot applications have been expanded to a much wider scope, including robot machining, robot assembly, robot 3D printing, robot inspection, etc. Many of these
Manufacturers currently struggle with the assessment of a machine/robots' accuracy degradation that limits the efficiency of machine/robots in high precision applications. Current best practice in industry is to inspect the final products or add
Kamel S. Saidi, Geraldine S. Cheok, Guixiu Qiao, John A. Horst, Marek Franaszek
A two-day workshop was held at the National Institute of Standards and Technology (NIST) in Gaithersburg, MD on December 2 - 3, 2019 on the subject of defining and prioritizing standards needed for 3-dimensional robotic perception systems for part
This paper presents a vision-based 6 degree of freedom (DOF) measurement system that can measure robot dynamic motions in real-time. A motorized target is designed as a part of the system to work with a vision-based measurement instrument, providing unique
Over time, robots degrade because of age and wear, leading to decreased reliability and increased potential for faults and failures. The effect of faults and failures impacts robot availability. Economic factors motivate facilities and factories to improve
Robotic technologies are becoming more integrated with complex manufacturing environments. The addition of greater complexity leads to more sources of faults and failures that impact a robot system's reliability. Industrial robot health degradation needs
As robot systems become increasingly prevalent in manufacturing environments, the need for improved accuracy continues to grow. Recent accuracy improvements have greatly enhanced automotive and aerospace manufacturing capabilities, including high-precision
Manufacturing operations are typically complex, especially when considering industrial robot systems. The execution of robot-driven tasks requires the integration of multiple layers of hardware and software. The development and integration of monitoring
Robot calibration and performance will degrade if proper maintenance isn't performed. There have been challenges for manufacturers to optimize the maintenance strategy and minimize unexpected shutdowns. Prognostics and health management (PHM) can be
Brian A. Weiss, Moneer Helu, Gregory W. Vogl, Guixiu Qiao
Manufacturing operations suffer from degradation as equipment and processes are continually used to generate products. The development and integration of monitoring, diagnostic, and prognostic (collectively known as PHM) technologies can enhance
From the moment a robot system is put into service to enable a manufacturing process, the overall process, its constituent sub-systems, and components begin to degrade. Without maintenance, this degradation will lead to faults and/or failures impacting the