Simulation biased random walk associated with Escherichia Coli

Abstract

The aim of the project is to simulate cellular intelligence in e-puck robots through a novel method named Artificial Reaction Network (ARN). Biased Random Walk (BRW) is implemented in three robots simultaneously and these are controlled by a computer which runs a program in Java platform. The characteristics and limitations that e-puck has and protocol for communicating Java platform with e-puck is discussed. Also approaches like: Odometry, Kalman Filter (KF), Particle Filter (PF), proximal and distal are presented as well as its advantages and disadvantages. Thus, the implementation of each approach selected is explained and future improvements are discussed.