HANNOVER MESSE 2019,
01 - 05 April
Voith Digital Solutions
The Panda is the lightweight robot designed specifically to assist humans. It has human-like capabilities and high-resolution sensitivity in all seven joints for robust assembly. It offers high-performance operation and can provide a complete workspace covering kinematics and excellent precision. The Panda was designed and developed by Franka Emika GmbH in Munich and produced in Germany. It is distributed and custom-tailored around the world by Voith Robotics.
Part of the strategic partnership is the establishment of a new joint venture called Voith Robotics – A Voith and Franka Emika Company. The company, with headquarters in Munich, is to become a global system supplier for robot-assisted automation in the digital age. Voith Robotics will offer self-teaching lightweight robots made by Franka Emika, along with software solutions, apps, services and process consulting, to customers in various industries and markets throughout the world.
As part of the strategi...
OnCumulus enables customers to leverage data across the enterprise from all equipment within all facilities to optimize reliability, achieve targeted performance and increase savings that impact the bottom line.
OnCumulus.Platform: one central data hub for digitalization The IIoT platform OnCumulus.Platform serves as the data hub for data from all kinds of sources – for example plants, production lines, machines and devices. Customers benefit from one central platform for their data from which they can ...
Heidenheim, Hanover. Under the motto of "value-driven intelligence" Voith will be introducing its new group division Voith Digital Solutions, which has been founded in 2016, at the Hannover Messe 2018. This group division specializes in the development of digital solutions for industrial companies. This extensive spectrum covers traditional automation solutions and cloud-based IoT applications up to the development of new business models. In Hanover the company will be demonstrating how Voith's data speci...
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