For tracking devices, the genre falls into LBS, or Location-Based-Services. LBS devices generally have some type of transceiver (I've developed many; from GPS to WAN-cellular, to RFID and even ZigBee protocols), and then the big kicker: a significant battery for the transceiver. All this adds up to a relatively larger volume than what is depicted in this device shown, which I liken more to a collection of sensory collectors.
It doesn't look like it. I've use the 'Loc8tor' for keeping track of my cats and dogs. It provides directional (arrows) as well as distance (sound) information up to about 600'. The same company has other products that work from further distances, but not as precise.
@pete.cross: That's a very interesting master's thesis ("Control, communication and monitoring of intravaginal drug delivery in dairy cows"). I'd imagine that getting a cat to wear a collar is very simple in comparison.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
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.
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.