Automation
Key WordsRobotics | Pharmaceutical industry | Automation | Production | Laboratory
Abstract
This article differentiates applications of "modern robotics" from classical automation in order to illustrate that technical advances in recent years have made a new type of automation possible. It discusses the drivers and applications within the pharmaceutical industry which will benefit from this modern robotics and gives an indication of the industry-specific requirements. Section 5 outlines how machine learning will simplify and speed-up developments in future. Finally, the article envisions major opportunities for the pharmaceutical and robotics industries justified by the availability of the described new type of applications in combination with the outlined demands.
Correspondence:
Dr. Carl-Helmut Coulon, Head of Future Manufacturing Concepts, INVITE GmbH, CHEMPARK, Geb. W32, 51368 Leverkusen; e-mail: carl-helmut.coulon@bayer.com
Dr. Carl-Helmut Coulon Since 2015 Dr. Carl-Helmut Coulon heads the “Future Manufacturing Concepts” group at the Research Institute INVITE including the subarea “application-oriented robotics research”. After his PhD in artificial intelligence in 1997 he started at Bayer AG in the automation department followed by various functions around the production technology up to his switch to INVITE 2015. |
Abstract
This article differentiates