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A swarm is a decentralized and self-organized collective with lots of simple but autonomous and homogeneous individuals. Swarm intelligence is defined to describe its emergent behaviors. Both sensor networks and mobile multi-robots can have swarm features. The combination and cooperation of these two systems is a tendency recently. From the view of swarm organisms, the challenges of combination of...
This paper mainly uses flocking control algorithm to implement the ldquobiodsrdquo model of Reynolds among multi-robots. We present two flocking algorithms: the first algorithm is a gradient-based algorithm with a velocity consensus protocol, and the second one is the main flocking algorithm for robot formatin control in a free workspace with an additional target steering agent that takes the group...
The problem of multiple robots system formation using a distributed control method is studied in this paper. The main idea of this paper is that uses swarm flocking control algorithm to implement the ldquobiodsrdquo model of Reynolds among multi-robots. With the help of graph theory, we propose a provably-stable flocking control law, which ensures that the internal group formation is stabilized to...
This paper presents a new method for behavior-based control for mobile robots path planning in unknown environments using fuzzy logic. The main idea of this paper is to incorporate fuzzy logic control with behavior-based control. The basic behaviors are designed based on fuzzy control technique and arc integrated and coordinated to form complex robotics system. More behaviors can be added into the...
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