Mobile robotics in material handling and logistics will become a $75 billion market by 2027, according to a new report, which adds that it will be more than double by 2038.
These staggering headline figures mask turbulent transformative change underneath: some technologies will rise and transform the fortunes of industries, fuelling growth rates far outpacing recent trends, whilst others will face with decay and obsolescence.
Foxconn is to produce 95 per cent of the new Apple iPhone, the eighth incarnation of the device, according to a report on PatentlyApple.com.
It’s not clear from the story whether any of the production will take place in the US, although that’s unlikely given that Foxconn hasn’t even chosen where in the US to expand its manufacturing operations.
Bob Hillier, managing director of product lifecycle management solutions provider Design Rule discusses the concept of PaaS and the software tools that can help OEMs make the move to this new sales model
Global power systems company Rolls-Royce recently celebrated the 50th anniversary of its “Power-by-the-Hour” approach to engine maintenance management.
Since its introduction, we’ve seen companies from the automotive, aerospace and industrial sectors following suit, making product as a service (PaaS) plans available to their customers.
Fanuc, the robot manufacturer with the largest number of robots installed around the world, is showcasing is new collaborative robot at the Automatica event.
The Fanuc CR-7iA was announced as a prototype some months ago, and this is one of the few times it has been shown to the public.
Fanuc says mechanics correspond to that of the company’s LR Mate-series (LR Mate 200iD), and it has a payload of 7 kg. Moreover, as in the case of the company’s first collaborative robot model – the CR-35iA, a mass-produced model serves as CR-7iA’s base.
Scientists at the University of Sheffield have created a computer model of how bees avoid hitting walls – which could lead to a breakthrough in the development of autonomous robots.
Researchers from the Department of Computer Science built their computer model to look at how bees use vision to detect the movement of the world around them and avoid crashes.
Bees control their flight using the speed of motion – or optic flow – of the visual world around them, but it is not known how they do this. The only neural circuits so far found in the insect brain can tell the direction of motion, not the speed.
This study suggests how motion-direction detecting circuits could be wired together to also detect motion-speed, which is crucial for controlling bees’ flight.