Bartending Robots and a Future Where Nothing Breaks Down

Photo courtesy of CeBIT

Following an invite from DXC, one of the world’s largest technology companies, Streamr took part in CeBIT, Hanover, earlier this month. It’s a pretty unique conference because CeBIT doesn’t just attract professionals, it’s also an event for the wider public, including children. So whatever you exhibit, it has to click with a lot of audiences. Thankfully our juice bar-tending robot, built in partnership with DXC and two other companies, hit it off with just about everyone.

Our CeBIT hosts DXC do end-to-end IT services on a massive scale serving 6,000 clients in more than 70 countries and generating $25 billion in revenues each year. Having hooked up with Streamr through the Startup Autobahn programme, their team worked for five days to put together the “cocktail-robot”, which spent several days taking customer drink orders then serving them up.

You can see that happening in this video here. The robot is able to recognise the order, select the right juices needed for the order and even mix them up.

Now, robots as bartenders may not be what our future holds in store for us quite yet. But demos like this are a perfect way of generating conversation and creative insights from employees of all sorts of organisations.

So what was the conversation we and DXC wanted to generate?

As you can see below, through Streamr’s Editor, we were able to process and visualise the robot’s live movements such as (angles, speed etc). That data is the sort of information that can be used for preventative maintenance purposes, i.e. detecting the need for maintenance operations in the digital world, before incidents arise in the real world .

If for example you can find out ahead of time, which of your factory robots is about to break down, your company would save massive amounts of money by avoiding costly disruptions in the production process. With digital twins, this sort of operation can get even more sophisticated. A digital twin uses data from connected sensors to create a virtual representation of a physical asset whether that’s a robot in an assembly line, or a car, or any other device. With the right modelling tools, and more importantly, the right software infrastructure to pass that information between key players and service providers, nothing need to breakdown without anyone knowing about it in advance.

But Streamr isn’t just able to provide the infrastructure to allow disparate parties to transmit realtime data between them. After launching our Marketplace last month, we also provide a way for this data to be bought and sold. Selling data that is already on our Editor is a pretty simple process. And realtime IIoT data is already something that is being sold on our Marketplace by vendors such as Ecosteer.

Of course the one-arm Franka Emika robot, also needed more than just DXC and Streamr to bring it together. TruPhysics and the Evan Network played a crucial role as well. So thank you to them.

If you’re interested in what Streamr can do for you, please get in touch with me and the partnerships team by emailing partnerships AT .

Courtesy of DXC

Didier Geopfert, is Streamr’s newest member of the partnerships team. He has a background in finance, wealth management and fintech. His interest in blockchain and decentralisation started four years ago after moving to Berlin.