Hexagonal robot legs indestructible gets better in the presence

In the last year, we wrote about a hexagonal robot legs can learn to walk after a severed leg. It was awesome. It is always awesome, because if you have no experience with robots, you know they are almost always malfunction. Last week, we saw some of the results that have been updated by the same researchers, after reviewing documents and stabbed with a lot of progressive eye scratching head in, I realized what is new and exciting for 2014.

First, let's take a look at the majesty of the robot above that can continue to come to you, even after losing a leg:



Okay, so here is what appears to be a novelty in an article last year on the basis of the discovery of experimental robots to determine the best approach to overcome all compensatory damages you suffer. Therefore, whenever there is something wrong, they will try a variety of things to see progressively better approach. This worked, but it took about 20 minutes each time, which (I think) seemed a very long time for researchers.

In a recent study, the time was reduced damage to adapt to 2 minutes to eliminate most of the experimental discovery stage. Instead, the robot works through a range of approaches found before (a "behavioral repertoire six dimensions"), evaluates a series of them, and then chooses the best. This reference is very wide, contains nearly 13,000 different paces. It took two weeks to create a form using the robot, respectively, in the simulation (20 million generation iteration of the algorithm works), but since you're only ever do it once for each robot (and can be done at design time before publication), it saves you time in the field, which is where the time is really important.



The difference between 20 minutes of work to develop a new approach and a 2-minute work is certainly important for small robots, which are limited in power, both computing and battery life. When the researchers sought to emphasize the simplicity and low cost (for the deployment of more efficient robots), anything that can make everyone more individual ability, even slightly, can make it much more likely be supplemented by a specific task successfully.

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