Using RAM-based networks for visual mark detection
In this paper we consider the problem of detection the graphic mark of leading robot in a leader following task. The detection methodbased on RAM-based is purposed. Trained RAM-based network keeps the features of a visual mark in different sectors regarding the slave robot. The network winner-discriminator will indicate the sector in which the leading robot present. The advantage of this approach is reducing the computational resources, so it can be used on platforms with low productivity.