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Various solutions have been proposed for controlling the motion of mobile robots. They are generally classified into two categories: global or explicit planning and local or implicit planning. The local solutions are mainly used in unknown environments and are completely based on information provided by sensors. This paper presents a solution for controlling the motion of a mobile robot through sensors...
Recently, considerable attention has been focused on the investigation of the use of wireless sensor networks (WSN) to drive autonomous mobile robot for navigation in flexible, indoor environments instead of fixed locations, for their potential as a cheap, easily deployed, and distributed monitoring tool. However, such composite net systems are nontrivial to design for the robot systems typically...
While most mobile robots possess the ability to navigate to and from given locations, for a robot to truly perform guidance, human awareness is also needed. Our guidance robot system possesses both, using a wireless sensor network for navigation and a vision-based tracking system for human awareness. We use the network to create a virtual directional field for the robot. As the network is ad-hoc and...
In this paper, algorithms for navigating a mobile node through wireless sensor networks are presented. The mobile node can navigate without the need for a map, compass, or GPS module while interacting with neighboring sensor nodes. Two navigation algorithms are proposed in this paper: the first uses the distance between the mobile node and each sensor node and the second uses the metric calculated...
Utilizing the advantages of wireless sensor network (WSN), this paper puts forward a novel dynamic obstacle avoidance algorithm used in unknown complex environment, which is a fundamental problem and important research area of mobile robots. In view of moving velocity and direction of both the obstacles and robots, a mathematic model is built based on the exposure model, exposure direction and critical...
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