Divide and conquer is a common technique used by strategists in many fields. Comprehension usually involves understanding the details and it means usually better adaptation to the “environment”. I’ll try to explain myself with an example: When trying to face a problem in any science without understanding the main physics involving all the procedure. You might have encountered, you are able to resolve that specific problem or even a similar one but, when the “environment changes”, by this I mean that the problem differs from the initial one in a simpler way, but in a way that is such that your abstract idea of the physics confuses you and makes you solve it the wrong way. But instead anyone who already understands that physic fact will easily evolve its previous answer the right way.
Imagine you memorized the math table for two, then you will be able to accomplish any multiplication relying number 2. When asked to multiply 3*2 you are able to answer easily, but if the question is 3*3 you wont. But instead if you learn the math table for two, understanding that 2*5 is five times two (2+2+2+2+2) you will be able to answer 3*8 immediately. And you might be able to infer that 8/2 equals 4 because there are two fours “inside” an eight (4*2) (4+4). By mathematical terms you could say, this situation is more adapted to a changeable mathematical environment.
For many years control engineers have tried to reduced complex, abstract processes to simpler and more achievable ones, which interact with each other to develop the more complex process which englobes the simpler ones. This way using feed-back loops engineers are able to automate a control system towards its goal.
As robots usually are really complex systems, they are very difficult to control. Interactions between its components can easily lead to malfunctions that can make impossible for the system to achieve it´s desired goal. Now, new simpler, adaptable robots are being researched by Amsterdam engineers working inside an European project, a great idea to solve complex difficulties, making robots which will be able to interact with each other in incredible ways (show by the video)
I imagine future robotics, as multiple interactive robots specialised in little tasks working in groups, being capable of sharing information and developing solutions as a group. Understanding perception will be very important for this robots, in order to be able to communicate to each other its own situation and the final group’s goal, in which I believe cognitive science’s and the study of social interactions will clearly help the research of new cognitive architectures, which will allows us in the near future to master new control techniques for this new multiple robot platforms.
For now we will have to settle with this incredible mock-up.