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A further investigation of the AS algorithm using multiple robots is presented in this article.
Exploring an unknown environment with multiple robots is an enabling technology for many useful applications.
In this paper, a practically viable approach for conflict free, coordinated motion planning of multiple robots is proposed.
In the second phase, the coordination among multiple robots is achieved by resolving conflicts based on a path modification approach.
The strategy shepherds the robots to places where the probability of obtaining a unique hypothesis for a set of multiple robots is a maximum.
In many circumstances, the coordination of multiple robots is required for task execution, whereby it is important to cooperatively control robots to navigate in a desired formation.
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By the end, multiple robots are firing at me, so I use a power-up on the pad's left trigger that slows down time, allowing me to shoot multiple scorpions, earning a combo bonus.
The proposed system, which comprises multiple robots, was designed for continuous and efficient decontamination.
Many studies on path-planning of multiple robots are based on environments that must be completely known [7, 28].
Experiments with multiple robots are provided and proved effectiveness of such approach compared with the distributed PSO.
Coordinating the motion of multiple mobile robots is one of the fundamental problems in robotics.
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