Abstract
In order to improve the real time performance, accuracy and stability, an obstacle avoidance strategy of mobile robot based on wireless sensor networks is proposed in this paper. The algorithm is combined with fuzzy control and neural network control theory which can express those rules difficult to describe by using mathematical model. Simulation results show that the obstacle avoidance strategy can improve the overall system performance substantially and is suitable for mobile robot intelligent control.
Highlights
IntroductionNew technology is constantly emerging (cloud computing, big data, wireless sensors, etc.)[1,2,3], one of present focus research fields is mobile robot which is the important direction of robot research
Nowadays, new technology is constantly emerging[1,2,3], one of present focus research fields is mobile robot which is the important direction of robot research
Multiple mobile robots system provides an unchallenged incentive to all researchers in the past two decades, with its distribution characters in time and space, as well as its high efficiency
Summary
New technology is constantly emerging (cloud computing, big data, wireless sensors, etc.)[1,2,3], one of present focus research fields is mobile robot which is the important direction of robot research. The robot obstacle avoidance and path planning is one of important research directions of mobile robots, and an indispensable and important part of the mobile robots’ navigation technology. In the research of specific application tasks, such as transporting heavy object, arresting target and multi-sensors cooperative map exploration, etc., robots are required to form and maintain specific shapes of formation during the tasks’ execution. These lead to a rush in the research of multi-robot formation control, which is one of the key techniques in multi-robot cooperation and coordination
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