I was impressed at what the digital CMOS sensor-based camera made by the parent company can do: it's got a 360-degree panoramic view. But that's not used in the Ferret--that one is a CCD sensor-based camera with (apparently) a 90-degree angle, which is still pretty wide.
It looks a lot like an iRobot in terms of its aesthetic design. Not only are these robots perfect for scouting under cars and through parking lots, but what about malls, schools, or other public venues where there are long stretches of terrain to patrol.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.