Learn More
Keywords: Mobile robot Path planning Meta-heuristic techniques Artificial bee colony Evolutionary programming Probabilistic roadmap a b s t r a c t In this paper, an evolutionary approach to solve the mobile robot path planning problem is proposed. The proposed approach combines the artificial bee colony algorithm as a local search procedure and the(More)
This article describes the localization function integrated in a landmark-based navigation system. It relies on the use of planar landmarks (typically, posters) to localize the robot. It is based on two periodic processes running at different frequencies. One of them performs the poster tracking (based on the partial Haus-dorff distance) and the active(More)
1. Abstract We present in this paper a genetic algorithm (GA) approach to solve 2-D bin packing problems of polygonal shapes on a rectangular canvas. We present how to encode shape parameters and a fitness function based on a the me-dial axis transform (MAT) to evaluate individuals of a genetic algorithm population. Some test and results of our(More)
— This paper describes how to integrate tracking functions on a mobile robot. Tracking is required during autonomous robot navigation in different situations: landmark tracking to guarantee real-time robot localization, target tracking for a sensor based motion or obstacle tracking to control an obstacle avoidance procedure. These objects-landmarks,(More)