Universal Robots has joined hands with the Sino-German Intelligent Manufacturing Research Institute to expand the boundaries of intelligent manufacturing

Create Date: 2024-8-30 12:03:23|Source: Universal Robots/UR

Composite robots will be an important development trend of future robots, which are like having human legs, hands and eyes, and can be engaged in more flexible and flexible work. As early as February 2020, Universal Robots (UR) and Mobile Industrial Robots (MiR) invested US$36 million to jointly establish a collaborative robot center in Denmark to develop the composite robot market. Composite robots consisting of UR cobots and MiR autonomous mobile robots have been used in a wide range of applications, including the Sino-German Institute of Intelligent Manufacturing.

The Sino-German Institute of Intelligent Manufacturing (hereinafter referred to as the Sino-German Institute) is an application-oriented research institute jointly established by Nanjing Yangzi State-owned Assets Group, provincial and municipal industrial investment funds and industrial capital. In June 2016, witnessed by the Chinese and German prime ministers, the Nanjing Municipal Government signed a strategic cooperation agreement with the Fraunhofer-Gesellschaft IPK Institute, the core applied research institution of Germany's Industry 4.0, to jointly establish the Sino-German Institute. The institute aims to carry out intelligent design and transformation solutions for enterprises, and provide training and implementation of intelligent manufacturing. The core of the overall design is based on the main equipment (robots) of Industry 4.0, and the solutions cover: digital factory, robot collaborative application, smart logistics and robot control ecology based on industrial cloud.
Universal Robots has joined hands with the Sino-German Intelligent Manufacturing Research Institute to expand the boundaries of intelligent manufacturing
  In the process of implementing the implementation of Industry 4.0 intelligent production design, the institute encountered many problems and challenges, such as personalized customization, programming, flexible equipment deployment, limited space lighting, and most importantly, the interaction and collaboration between humans and machines. Therefore, the German Institute began to look for a suitable solution. UR composite cobots offer a variety of advantages, including quick installation and no space modification; Automatic path planning, no need for tracks; Easy to program, flexible to meet future needs, etc. After many considerations and comparisons, the Sino-German Academy chose the composite robot jointly created by UR and MiR.

At the training center of the Sino-German Academy, the UR robotic arm works closely with the MiR100 autonomous mobile robot to smoothly complete the loading and unloading work and material transportation at each station. Hybrid cobots are highly flexible and independent of location and workspace, increasing adaptability and efficiency. In addition, the cobot can operate safely and smoothly with workers in a dynamic environment.

The composite robot composed of UR and MiR relies on the multi-sensor safety system and the planning algorithm to actively predict and identify road conditions, avoid obstacles in time, so as to fine-tune the driving route in real time and complete the loading and unloading and material transfer of each station. The high safety of UR composite collaborative robots provides a strong guarantee for the creation of safe display and training processes, helps the Sino-German Institute to develop, incubate, and promote cutting-edge intelligent manufacturing technologies, and creates a benchmark for strategic cooperation between China and Germany.

In addition to the projects of the Sino-German Institute, UR composite collaborative robots are also entering more and more industries and enterprises, and it can be said that wherever product transfer and internal transportation are required, composite robots can be used to optimize processes. UR cobots are used in industries such as automotive, electronics, machining, logistics, food and beverage, life sciences, and consumer goods.

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