Combination of RFID and Vision for Mobile Robot Localization

Chae, Hee‐Sung; Han, Kyuseo

doi:10.1109/issnip.2005.1595559

Cited by 35 publications

(2 citation statements)

References 7 publications

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“…However, such a methodology is specific to a particular workspace and requires a substantial amount of customization for it to operate in a new environment. Chae et al proposed a mobile robot localization method with the help of a combination of RFID and vision technologies [11]. The global localization of the robot is performed by incorporating signal detection from artificial landmarks represented by the RFID tags.…”

Section: Related Workmentioning

confidence: 99%

An RFID-Based robot navigation system with a customized RFID tag architecture

Miah

Gueaieb

2007

2007 Internatonal Conference on Microelectronics

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A major component of a mobile robot system is the ability to navigate accurately in unknown environments with little or no human intervention. In this paper, we present a modular and cost-effective navigation technique incorporating signals from RFID tags, an RFID reader, and a fuzzy logic controller (FLC). The RFID tags are placed at 3-dimensional positions in the robot's workspace in such a way that the lines linking their projection points on the ground define "free-ways" along which the robot is desired to navigate. The RFID reader is mounted on the mobile robot to communicate with the RFID tags to determine the robot's position. The FLC is then applied to guide the robot along a pre-defined trajectory in an unknown working environment. For this purpose, we introduce two minor changes to the RFID tag architecture while keeping that of the RFID reader unchanged. A simplistic circuit and a primitive microcontroller are added to the RFID tag to compute the signal's power received by the tag and encode it within the tag ID, respectively. This way, virtually any commercially available RFID reader can be used without the need for any special customization. The performance of the proposed navigation scheme is evaluated through several numerical simulations.

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Section: Related Workmentioning

confidence: 99%

An RFID-Based robot navigation system with a customized RFID tag architecture

Miah

Gueaieb

2007

2007 Internatonal Conference on Microelectronics

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“…Therefore, some alternatives come to mind, such as real-time locating systems (RTLS), when devices working on the radio frequency communication principle are placed in the environment to determine the position of a robot. Under this technology, one can imagine WiFi [11,12], when time-difference measurements between the towers and the monitored object are obtained, or RFID [13][14][15], when tags shaped in a matrix on the floor or walls are detected by a transmitter on the robot. However, deployment of RTLS is not always possible, when WiFi needs uninterrupted visual contact and reliable communication between the towers.…”

Section: Introductionmentioning

confidence: 99%

Smart Building Surveillance System as Shared Sensory System for Localization of AGVs

et al. 2020

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The objective of this study is to extend the possibilities of robot localization in a known environment by using the pre-deployed infrastructure of a smart building. The proposed method demonstrates a concept of a Shared Sensory System for the automated guided vehicles (AGVs), when already existing camera hardware of a building can be utilized for position detection of marked devices. This approach extends surveillance cameras capabilities creating a general sensory system for localization of active (automated) or passive devices in a smart building. The application is presented using both simulations and experiments for a common corridor of a building. The advantages and disadvantages are stated. We analyze the impact of the captured frame’s resolution on the processing speed while also using multiple cameras to improve the accuracy of localization. The proposed methodology in which we use the surveillance cameras in a stand-alone way or in a support role for the AGVs to be localized in the environment has a huge potential utilization in the future smart buildings and cities. The available infrastructure is used to provide additional features for the building control unit, such as awareness of the position of the robots without the need to obtain this data directly from the robots, which would lower the cost of the robots themselves. On the other hand, the information about the location of a robot may be transferred bidirectionally between robots and the building control system to improve the overall safety and reliability of the system.

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Path Planning for Automatic Recharging System for Steep-Slope Vineyard Robots

Santos

Mendes

et al. 2017

ROBOT 2017: Third Iberian Robotics Conference

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Abstract. Develop cost-effective ground robots for crop monitoring in steep slope vineyards is a complex challenge. The terrain presents harsh conditions for mobile robots and most of the time there is no one available to give support to the robots. So, a fully autonomous steep-slope robot requires a robust automatic recharging system. This work proposes a multilevel system that monitors a vineyard robot autonomy, to plan offline the trajectory to the nearest recharging point and dock the robot on that recharging point considering visual tags. The proposed system called VineRecharge was developed to be deployed into a cost-effective robot with low computational power. Besides, this paper benchmarks several visual tags and detectors and integrates the best one into the VineRecharge system.

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Combination of RFID and Vision for Mobile Robot Localization

Cited by 35 publications

References 7 publications

An RFID-Based robot navigation system with a customized RFID tag architecture

An RFID-Based robot navigation system with a customized RFID tag architecture

Smart Building Surveillance System as Shared Sensory System for Localization of AGVs

Path Planning for Automatic Recharging System for Steep-Slope Vineyard Robots

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