Noisy Wall Following and Maze Navigation through Genetic Programming
The MIT Press eBooks · 1996
This paper discusses a project in which wall following and maze navigation algorithms were developed for a simulated robot in a noisy environment. The algorithms were developed using genetic programming and evaluated by determining how well they performed during a series of simulations.