Software that will let people and robots communicate to plan difficult and complex tasks, such as dismantling a nuclear power plant, is being developed at a Scottish university. (Source: Wikimedia Commons/Stefan Kühn)
ttemple, everything you said is correct about non-autonomous robots. This research team, like several others, is developing intelligent, autonomous robots, something very different. William's comment below, "Human-Robot communications", captures this difference.
Absolutely, William K. That is a very good description of the issue. Even routine functions can quickly change to ones that require past experience. That is why a lot of experts can operate on "gut feel". They can't explain their correct actions because it is based off of experience of similar occurences. This simply cannot be captured in a program.
I have programmed industrial robots and the closest those robots came to "insight" was knowing that they had to slow-down in order to accurately make a turn. This presents a quandry of sorts when the robot is doing something like putting a sealant along a seal surface, where a larger radius rounded corner is not what is needed. The solution was to bring the robot to a point, then a separate move from that point to the change in direction point, and then start in the new direction. A simple work-around. But if the robot had been able to tell that it needed to do something in order to be able to change direction it may have been easier to figure out. Instead, it was nessesary to read the 4000 page instruction manual.
The problems that will come with attempting to give robots insight is that it may easily lead to giving the robots self-awareness, which would probably lead to robots having emotions, and that could be VERY BAD. That is because robot source code is written by programmers, and programmers are not normal people. We need to always remember that, and beware.
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.