Intelligent Surrounding Recognition for Robot Direction Control

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.

Development of robot motion direction based on microcontroller with compass sensor

“…The compass sensor readings are used as reference values in the robot's program to ensure that it moves in accordance with the specified angle directions. The compass sensor is adopted to control the direction of the robot's movement through the microcontroller installed on the robot [22]. With the data obtained from the previous sensor testing, the robot's movement can be controlled based on the direction of the sensor placed on the robot's body.…”

A Smart Leaf Blow Robot Based on Deep Learning Model

“…In order to realize this intelligence leaf blow robot, it is necessary to integrate robot navigation and positioning patrol, combined with the leaf recognition system. Robot navigation and positioning has been discussed in many papers in the past [1][2][3][4]. The use of a laser locator to navigate robot can achieve high accuracy [1], but the cost is also high.…”

“…The wireless RSSI-based [3] for spatial positioning can estimate the current position of the robot in space, but the RSSI signal strength is not very stable, so the estimated position can contain a major error. A RSSI locator with laser auxiliary is proposed to navigate the robot realized in [4], which can find the best passing path for the robot going on. For leaf recognition, some scholars have provided discussions on the recognition of leaves [5][6][7][8][9].…”

Implementasi Gerakan Tangan terhadap Navigasi Robot Beroda menggunakan Teknik Accelerometer

“…Tidak hanya saraf, suara manusia juga dapat digunakan sebagai kendali robot. Hsia, dkk mengadopsi teknik rekognisi suara dalam mengendalikan gerak robot pada lingkungan sebenarnya [6].…”