For decades, laser tracker and total stations have been the state of the art to measure externally the position disturbances in robotic systems. High system costs limit their usage …
Cycle time is critical in robotic cells where material handling often presents a bottleneck and in turn depends on the cell layout. Optimizing robot cell layouts is therefore …
To support the circular economy, robotic systems must not only assemble new products but also disassemble end-of-life (EOL) ones for reuse, recycling, or safe disposal. Existing …
Resource depletion and environmental harm highlight the need for more sustainable manufacturing methods like circular manufacturing. Circular manufacturing methods such as …
Industrial robots are commonly used in various industries due to their flexibility. However, their adoption for machining tasks is minimal because of the low dynamic stiffness …
This paper presents a deployment concept that aims to overcome the challenges in the implementation of Machine Learning (ML) models in manufacturing and industrial environments. In …
The deployment of machine learning models in manufacturing systems presents unique challenges, necessitating robust testing procedures to ensure reliable and efficient operation. …
Python package for kinematic modeling of serial-parallel hybrid robots.