Advantages of using robots in timber construction

“It is far easier to bond and mill coffers when robots are involved in the production process,” says Hans Jakob Wagner, naming an advantage of using robots in timber construction. Since the adhesive only remains fluid for a limited period of time and specific conditions such as the amount dispensed and uniformity of application need to be complied with when the adhesive is applied, speed and reliability play an important role. Moreover, considering the weight of the individual elements – a coffer weighs up to 200 kg – robots reduce the workload significantly.

Tight tolerances

The precision of construction robots is another advantage: for elements that are milled, the dimensional tolerance is less than 0.3 mm. The robots work efficiently, cost-effectively and with great precision thus allowing for variance in the parts that make up the pavilion. The robots are also exceptionally adaptable: “We even have the option of making changes to the construction plan of certain elements during the production process,” emphasizes Matthias Buck.

The prospects for robots in timber construction and the construction industry

Matthias Buck believes that the system has a big future ahead of it: “With its ideal transportation dimensions, the system can even be set up and used on the timber constructor's premises or at the construction site.” This offers the construction industry and timber construction industry innovative opportunities. Automated processes are currently few and far between in the industry. It may be possible to deal with the growing demands for larger quantities and affordable solutions by making use of robot systems. The robot could essentially become a practical colleague who optimally supports workers where challenging work procedures are involved.
Author: Sebastian Schuster, Global PR & Content Manager, Division Industries, KUKA AG

Small AI accelerator card for the Edge

With the Mustang-MPCIE-MX2 card, ICP Deutschland expands its portfolio of AI accelerator cards with a Mini PCIe plug-in card variant.
The Mini PCIe format enables system integrators to build small embedded PC systems with AI functionality for deep learning inference systems. The AI functionality is provided by two Intel® Movidius™ Myriad™ X MA2485 Vision Processing Units (VPUs). With only 5 watts, the Mustang MPCIE-MX2 is particularly suitable for low-power AI applications without sacrificing performance. The multi-channel capability allows each VPU to be assigned a different DL topology.
Thus, calculations can be performed simultaneously, and object recognition and face recognition can be performed simultaneously. With compatibility to the Open Visual Inference Neural Network Optimization (OpenVINO™) Toolkit from Intel®, various AI training models can be integrated directly at the edge. The OpenVINO™ Toolkit optimizes the performance of the training model and scales it to the target system. Due to the fast and optimized integration, developers as well as customers benefit from lower development costs. The Mustang MPCIE-MX2 is compatible with popular Linux operating systems such as Ubuntu, CentOS and Windows® 10. Numerous architectures and topologies of neural networks are supported, such as AlexNet, GoogleNet, SqueezeNet and Yolo. In addition to other AI accelerator cards, ICP also offers embedded systems that perfectly match the new Mustang MPCIE-MX2. ds

The features of the AI accelerator at a glance

  • AI accelerator card in Mini PCIe form factor
  • Two Intel® Movidius™ Myriad™ X MA2485 VPUs
  • Low power consumption of 5 watts
  • Operating temperature 0-50 °C
  • Powered by Intel® Open VINO Toolkit
Loading... Loading...
×