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Thread: Automatica, leading exhibition for smart automation and robotics, Munich, Germany

  1. #31


    KEBA @ Automatica 2018

    Published on Jul 26, 2018

    Next Generation Robotics and a great atmosphere: This was exactly what visitors experienced at the KEBA exhibition booth in Munich! Our robotics team presented a turnkey robot control, a flexible control platform for individual solutions, HRI solutions and safe wireless machine operation.

  2. #32


    DENSO Robotics Europe at Automatica 2018

    Published on Jul 31, 2018

    DENSO Robotics presented COBOTTA for Human-Robot Collaboration in various real-life applications, such as the 3-Color Pen Factory and in combination with a MINI-EYEFEEDER parts conveyor.

    The next highlights were the automated 3D quality inspection solution KITOV-ONE, the IoT Data Server and the IoT Data Studio, the HSR and HS-A1 robots controlled by one RC8A controller, a VM-Series robot in a non-contacting coating thickness measurement application and more…

  3. #33


    automatica 2020 – Mobile robotics

    Feb 17, 2020

    Customized production, smaller lot sizes, increasing part diversity - rigid production systems are increasingly reaching their limits. The requirement now: automation solutions that are both flexible and smart.

    Dana Clauer: This age of increasing customization, or of derivatives or variants, is giving rise to ever-increasing diversity. The rigid material flow systems that we knew only a short while ago are now having to be converted into flexible ones. And mobile robots are perfect for that.”

    For instance, automatic guided vehicles, or AGVs for short, are an indispensable part of the production halls at Audi. They supply employees on the assembly line with built-in components or follow targeted routes to flexible assembly stations, like at the e-motor production plant in Györ, Hungary.

    From the firm of Stäubli, It’s a revolution in mobile robotics. The “Helmo” is already being used in a factory in Allschwill, Switzerland.

    Benjamin Heri: “An AGV system is basically only suitable for logistics tasks. If you bring Helmo in as well, you can use him as a logistics system and also as a helper during assembly. With Helmo, there are countless possibilities and potential fields of application”.

    And that’s all thanks to the combination of a mobile platform and a robot arm. In the production of electrical connectors, the mobile robot autonomously carries out pick-and-place applications at different workplaces. It can drive and navigate through the factory completely autonomously. Helmo can either complete tasks fully automatically or collaborate with humans. Numerous safety features make this mobile robot a full member of the team.

    Benjamin Heri: “Helmo is a very safe system, it’s autonomous. For example, if someone walks in front of Helmo, the system says: “I have a problem and have to stop now.” Then it gets stopped immediately”.

    Helmo is assigned tasks either from the SAP system or directly from his human colleagues. Once trained, the mobile robot system can take over almost any manual activity on assembly lines even today. And his full potential is far from exhausted.

    Benjamin Heri: “Helmo will be made a bit faster. We want to achieve that using a double gripper. Next, we want to interlink several machines with Helmo. Plus: he will still get logistics jobs where he transports workpieces from A to B, taking the strain off the workers.”

    The very latest trends and innovations for mobile robotics and the future of the autonomous factory are all being presented at automatica in Munich.

  4. #34


    automatica 2020 – Autonomous driving

    Feb 17, 2020

    A car drives autonomously and decides independently to change lane and to overtake. No more need for driver intervention. Science Fiction has become a reality.

    The French company Valeo has long since recognized this trend: self-driving cars are going to revolutionise the automotive industry profoundly. In South Gerrmany, Valeo is testing fully automated vehicles on authorised sections of motorway. Artificial intelligence plays a key role here.

    Harald Barth: “AI is in a position to a process a significantly higher volume of data – and also, very importantly, to not only measure situations but also understand them so as to be able to create the proactive element that is so essential in automated driving.”

    To gain this understanding, the AI needs real data, generated on measurement vehicles with the aid of various sensors. This is because road traffic is too complex to be successfully captured by a formal set of rules. To guarantee road safety, an autonomously propelled vehicle has to be able to recognize and also classify different objects. The keys to success here: Machine Learning and Deep Learning.

    Harald Barth: “Deep Neuro Net, that is, neural networks, work with a great deal of training data. In other words, a person perceives their environment and learns to understand it, and we’re giving these systems that same kind of understanding.”

    In Saarbrücken the DFKI, the German Research Centre for Artificial Intelligence, is also working on the future of mobility. The scientists here are taking a different approach:

    Christian Müller: “Actually our unique selling points are that we look after the vulnerable road users. Our work has less to do with motorway traffic and more with inner-city traffic. That’s where we’re modelling human behaviour by using AI.”

    With a so-called “motion capture suit”, the researchers collect data on the walking behaviour of pedestrians. The data are then fed into the system on board the autonomous vehicle. The advantage here is that the car’s artificial intelligence should, by means of countless case scenarios, learn how to respond proactively to pedestrian behaviour.

    Christian Müller: “While industry limits itself to merely detecting pedestrians, we’re actually predicting their behaviour. That gives us a head start of 5 to 7 seconds, during which we can predict people’s future behaviour or their future movements.”

    But it’s going to be some years before vehicles can drive themselves fully automatically. There are still many challenges to be overcome – technological as well as legal.

    Harald Barth: ”What I predict is that in ten to twenty years’ time, most of new cars will be equipped with systems where you can at least partially give them driving tasks.”

    Christian Müller: “If we’re talking about inner-city traffic, then we’ll certainly need to discuss structural measures – because the proximity of vulnerable road users prevents driving there with any high degree of automation.”

    Artificial intelligence will also revolutionise many other sectors. Find out how it can make your production more autonomous – at automatica in Munich!

  5. #35

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