A CONTROL system based on chaos has made a simulated, multi-legged robot walk successfully. The researchers behind the feat say it may have brought us closer to understanding how people and animals learn to move.
Standard robots control their leg motion either through complex computer programs or by using so-called genetic algorithms to “evolve” a successful walking strategy. Both these options are time-consuming and require a lot of computer power.
Roboticists Yasuo Kuniyoshi and Shinsuke Suzuki wondered whether chaotic systems might also generate efficient walking behaviour. Chaotic systems behave in a way that means that small effects are amplified so…
