Abstract

In this study, we present a novel robot navigation system based on multi-sensors. The sensors include laser range finder, electronic compass, Zig-bee module and camera, to construct the navigation and monitoring system for robot. This system can remote control robot and monitor its status by real-time images for security patrol in the room at any time. Based on sensing information, micro-controller can control motors to drive its moving directions and speed. Laser scanning rangefinder is used to allow the robot to detect obstacles by the viewing range of 0 to 240 degrees. Zig-Bee locator can provide relative indoor position information in a wide space. The electronic compass is adopted to control the moving direction of robot. The computer calculates the sensing data and its results are sent to the micro-controller, to enable the robot walking on the middle of the passageway. The system is successfully implemented and demonstrated in real environment.

Highlights

  • INTRODUCTIONAttention to indoor environmental safety is an important issue in today's society

  • In recent years, attention to indoor environmental safety is an important issue in today's society

  • We present auto navigation and positioning system for robot control based on multi-sensors that includes laser scanning

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Summary

INTRODUCTION

Attention to indoor environmental safety is an important issue in today's society. Once there is an emergency situation, the robot can instantly arrive here and sent important videos to users using remote control For this purpose, auto navigation is one of the important issues for a mobile robot. The positioned system is used to control the robot following the best path from the current location moving to the target location. Sensor-based approaches [6,7], such as ultrasonic sensors and laser scanning rangefinder, are presented. The former only detect the distance of one direction between robot and obstacle, which is difficult to create the best path for robot. We present auto navigation and positioning system for robot control based on multi-sensors that includes laser scanning.

PROPOSED LOCAL PLANNING USING LSR
System Integration and Experiments
CONCLUSIONS
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