Docking autonomous robots in passive docks with Infrared sensors and QR codes

Quilez, Roberto; Zeeman, Adriaan; Mitton, Nathalie; Vandaële, Julien

doi:10.4108/icst.tridentcom.2015.259673

Cited by 19 publications

(5 citation statements)

References 7 publications

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“…The proposed technique was verified through experiments using a Pioneer mobile platform. In [16], quick response (QR) codes were implemented as visual landmarks in order to guide the mobile robot to the charging dock, and IR sensors were utilized for distance measurement in order to assist the docking process. Based on the IR measurements, the docking area were defined into three regions, and different approaching strategies were defined for each region.…”

Section: A Autonomous Docking and Recharging Of Mobile Robot Systemsmentioning

confidence: 99%

A Laser Intensity Based Autonomous Docking Approach for Mobile Robot Recharging in Unstructured Environments

Liu

2022

IEEE Access

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Autonomous recharging is a fundamental requirement for autonomous mobile robots in order to allow them to work continuously without human intervention, and autonomous docking to a charging station is a challenging yet promising research area. In particular, the docking task becomes even more complicated in unstructured human environments when the charging station's location is not fixed and when there are dynamic obstacles moving around. This paper presents a laser intensity based autonomous docking approach, which allows a mobile robot to recharge its battery autonomously in unstructured environments. Laser reflection intensity for a self-adhesive reflective tape is quantitatively investigated, and the sufficient/necessary conditions for successful reflector detection are discussed. Using the proposed reflector detection technique, the charging station can be easily distinguished from similar objects in an unstructured environment. Comparing to the traditional docking methods, the developed approach is easier to implement and can significantly improve the reliability of autonomous docking and recharging. Extensive experiments were conducted to verify the effectiveness of the developed autonomous docking approach.

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Section: A Autonomous Docking and Recharging Of Mobile Robot Systemsmentioning

confidence: 99%

A Laser Intensity Based Autonomous Docking Approach for Mobile Robot Recharging in Unstructured Environments

Liu

2022

IEEE Access

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“…Roberto Quilez et al have proposed docking mobile robot in passive docks with the help of QR codes as land mark and Infrared range sensors. For docking, the robot visual pattern will assist in proper positioning with respect to the docking station [7].…”

Section: IImentioning

confidence: 99%

IR Based Auto-Recharging System for Autonomous Mobile Robot

Rao

Shivakumar²

2021

jrc

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As autonomous mobile robots are progressively utilized for appropriated missions, a significant issue that should be tackled is the autonomous recharging problem. The robots can be recharged by planning and arranging effectively to maximize its working efficiency. This paper presents the implementation of automatic docking robot with docking strategy and recharging capabilities. The robot is programmed using an algorithm which will guide the robot to move around in a square path of 30 inch by 30 inch continuously. While the robot is performing its assigned task, the battery remaining voltage is monitored by voltage detection module. When the battery voltage reaches threshold value of less than 12V, the microcontroller commands the robot to go back to the docking station for recharging autonomously. This system uses IR receiver sensor in front of the robot and IR transmitter sensor near docking station. The active IR transmitter sensor which transmit infrared signal located near docking area serves as landmark in guiding robot towards docking area. The robot scans the transmitted IR signal from the sensor transmitter only when it needs to charge its battery, if detected it will take the path of charging station. Once the robot approaches the charging station with the required orientation, it connects to the supply terminals for charging. The data related to battery charging voltage is transmitted by microcontroller through Bluetooth HC-05 to PLX DAQ software tool in PC stores it in the Excel sheet as the data arrive. Once the battery is fully charged the robot moves back to continue its original task.

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“…IR sensors helps to locate and position the robot for docking. Different approaching techniques are adopted by infrared sensors based on the distance [6]. Yanan Renet al have proposed a method for docking control depending on feedback from vision assistance in narrow space.…”

Section: Related Workmentioning

confidence: 99%

Sensor Guided Docking of Autonomous Mobile Robot for Battery Recharging

Rao*¹,

Shivakumar²

2019

IJRTE

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For uninterrupted working of autonomous mobile robot, battery level needs to be continuously monitored. Normally, few hours of peak usage may be provided by rechargeable batteries. The batteries need to be recharged when its voltage reaches threshold value. The autonomous mobile robot docking for recharging is implemented in this paper. The robot employs sensors, microcontroller ATMEGA16 and voltage divider circuit. The robot has two sensors, IR sensor and Ultrasonic sensor which finds the obstacle (docking station) and orient the robot in the proper position for docking and recharging. The discharging voltage of the battery is detected using voltage divider circuit. The robot’s ultrasonic and IR sensors perform the detection of docking station for battery recharging. Ultrasonic sensor helps to detect the obstacle and range from robot.IR sensor is used for the orientation of the robot at the exact position for docking purpose. These two sensors in the robot provide the data about the distance from the docking station to the microcontroller. The algorithm called as Random search algorithm (RAS) is developed to assist the robot to get docked for recharging. This algorithm randomly moves the robot to search the docking station, if found will move towards it and starts for docking and charging or else it rotates to the right. Atmel studio 6 is the software development environment used to write code in Embedded C language.

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Docking autonomous robots in passive docks with Infrared sensors and QR codes

Cited by 19 publications

References 7 publications

A Laser Intensity Based Autonomous Docking Approach for Mobile Robot Recharging in Unstructured Environments

A Laser Intensity Based Autonomous Docking Approach for Mobile Robot Recharging in Unstructured Environments

IR Based Auto-Recharging System for Autonomous Mobile Robot

Sensor Guided Docking of Autonomous Mobile Robot for Battery Recharging

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