Robot big Photo: The University of Manchester |
It analysed what happens when standard algorithms driving a self-balancing robot - made from simple Lego - were replaced with those based on ‘perceptual control theory’.
The theory was encoded into the little droid, allowing it to control what it sensed so that it moved around more effectively, just as humans and other animals can.
Though the robot moves on two wheels, it is an ‘inverted pendulum’, which requires nimble balancing in a similar way to how our bodies are kept upright when we walk.
So, the better the robot can balance, the better prepared it will be for walking like a human...
Dr Simon Watson, Senior Lecturer in Robotic Systems at The University of Manchester said: “Nature has developed the most complex machines we know, so being able to implement algorithms inspired by them is an important step in our own creative development capability.
Thomas Johnson, the PhD student who built and tested the robot said “This work has demonstrated the success of controlling robots with perceptual control theory. This paper is a demonstration of how engineers in robotics can find inspiration from the living world.”
Read more...
Source: The University of Manchester