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One of the current challenges in the development of robot control systems is making them capable of intelligent and suitable responses to changing environments. But, the control of the robot's behavior in uncertain and dynamic environments is very challenging when the problem is how to guarantee the robot's safety by minimizing the interaction with other actors. The most popular methods are based...
Simultaneous Localization and Mapping (SLAM) addresses the problem of a robot navigating and acquiring spatial models of initially unknown environments, without an absolute localization means. To solve this problem, we propose a mapping system that builds feature-based geometrical maps by applying a modified Particle Swarm Optimization (PSO) algorithm. Particles are defined as the location of individual...
We consider the classical task of transporting resources from source to home by a group of autonomous robots. The robots use ant-like trail following to navigate between home and source. This paper studies the effect on global performance of changing the field of view of each robot's trail-following sensor. It is shown that, under certain conditions, a narrow field of view can improve system performance...
This article presents our attempts to direct an autonomous robot using efficient and universal topological instructions, which can be incrementally interpreted by a moving robot that does not have its own map initially. Many real-world experiments are included, featuring autonomous exploration and mapping. Surprisingly, we conclude and show that for this type of navigation, abilities in object recognition...
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