Design of Indoor Mobile Robot Positioning System Based on STC12C5616AD MCU and nRF24L01

2012 ◽  
Vol 11 (1) ◽  
pp. 429-432
Author(s):  
Enxiu Shi ◽  
Jiali Yang ◽  
Jun Li ◽  
Xian Wang
Keyword(s):  
Mobile Robot ◽  
Positioning System ◽  
Indoor Mobile Robot ◽  
Robot Positioning

scholarly journals A robust mobile robot indoor positioning system based on Wi-Fi

2020 ◽  
Vol 17 (1) ◽  
pp. 172988141989666 ◽  
Author(s):  
Wei Cui ◽  
Qingde Liu ◽  
Linhan Zhang ◽  
Haixia Wang ◽  
Xiao Lu ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Principal Component ◽  
Indoor Positioning ◽  
Positioning System ◽  
Infrared Sensors ◽  
Positioning Systems ◽  
Indoor Mobile Robot ◽  
Robot Positioning ◽  
Learning Machine ◽  
Noisy Measurements

Recently, most of the existing mobile robot indoor positioning systems (IPSs) use infrared sensors, cameras, and other extra infrastructures. They usually suffer from high cost and special hardware implementation. In order to address the above problems, this article proposes a Wi-Fi-based indoor mobile robot positioning system and designs and develops a robot positioning platform based on the commercial Wi-Fi devices, such as Wi-Fi routers. Furthermore, a robust principal component analysis-based extreme learning machine algorithm is proposed to address the issue of noisy measurements in IPSs. Real-world robot indoor positioning experiments are extensively carried out and the results verify the effectiveness and superiority of the proposed system.

Design and Robust Recognition of Omnidirectional Landmarks for Indoor Mobile Robot Positioning

2013 ◽  
Author(s):  
Hanyu Liu ◽  
Xu Zhong ◽  
Yu Zhou
Keyword(s):  
Mobile Robot ◽  
Recognition Algorithm ◽  
Positioning System ◽  
Contour Analysis ◽  
Landmark Recognition ◽  
Black And White ◽  
Indoor Mobile Robot ◽  
Robot Positioning ◽  
Robust Recognition ◽  
Landmark Model

In this paper, we present an omnidirectional artificial landmark model and a robust artificial landmark recognition algorithm for indoor mobile robot positioning. The landmark model encodes identities with nested circles in black and white, which provides stable edge response and enables strong tolerance to various lighting conditions and perspective distortions. The corresponding positioning system uses a single upward-facing webcam as the vision sensor to capture landmarks. To address the effect of the lighting and sensing noise, the topological contour analysis is applied to detect landmarks, and the dynamic illumination adjustment is used to assist landmark recognition. Based on the landmark recognition, the absolute position of the camera in the environment is estimated using a trilateration algorithm. The landmark model and positioning system are tested with a mobile robot in a real indoor environment. The results show that the purposed technique provides autonomous indoor positioning for mobile robots with high robustness and consistency.

BUILDING MAP AND POSITIONING SYSTEM FOR INDOOR ROBOT BASED ON PLAYER

2011 ◽  
Vol 08 (04) ◽  
pp. 281-290
Author(s):  
BIN WANG ◽  
WEI LU ◽  
BIN KONG
Keyword(s):  
Mobile Robot ◽  
Positioning System ◽  
Map Building ◽  
Adaptive Monte Carlo ◽  
Indoor Mobile Robot ◽  
Robot Positioning ◽  
Positioning Method ◽  
Dynamic Map ◽  
Slam Algorithm ◽  
Number Of Particles

In this paper, we have proposed a map-building and positioning method for an indoor mobile robot based on the open source platform Player. First, the DP-SLAM algorithm is transplanted to the Player and used to build the dynamic offline map. This would reduce the errors and constraints caused by manual map building. Second, the KLD-Sampling Adaptive Monte Carlo Locating (KLD-AMCL) algorithm is introduced to reduce the number of particles required in locating. Meanwhile, higher accuracy of localization is achieved through calculating the MLE and the real posterior KL distance. Finally, an indoor mobile robot positioning system is built by combining the Player platform, dynamic map building and KLD-AMCL algorithm. Experimental results show that the proposed system has better environmental adaptability and higher positioning accuracy.

An indoor mobile robot positioning system based on radio-frequency identification

2017 ◽  
Vol 50 (3) ◽  
pp. 313-322 ◽  
Author(s):  
Jiansheng PENG ◽  
Jian MIAO ◽  
Qingjin WEI ◽  
Zhenwu WAN ◽  
Yiyong HUANG ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Positioning System ◽  
Indoor Mobile Robot ◽  
Robot Positioning ◽  
Frequency Identification

An Improved Method for Mobile Robot Localization Based on Passive RFID System

2012 ◽  
Vol 190-191 ◽  
pp. 651-655
Author(s):  
Qing Yang ◽  
Hong Yi Wang ◽  
Jian Cheng Li ◽  
Rong Jun Shen
Keyword(s):  
Mobile Robot ◽  
Rfid Tags ◽  
Positioning System ◽  
Robot Localization ◽  
Rfid Technology ◽  
Improved Method ◽  
Robot Positioning ◽  
Positioning Method ◽  
Mobile Robot Localization ◽  
Passive Rfid

RFID technology has been widely used in mobile robot positioning system for its unique advantages. RFID tags store their unique positions which are placed on the ceiling or the floor. The mobile robot carries a RFID reader which reads the RFID tags to position itself. In this paper, a new method for mobile robot localization is proposed, and the equations to calculate the position of the mobile robot are given. Finally, the experiment results show that compared to conventional positioning method, the proposed method can effectively improve the positioning accuracy of the mobile robot.

Multi-Sensor Fusion for Robot Positioning Based on Dempster-Shafer Methods

2000 ◽  
Author(s):  
Weidong Qu ◽  
Zhongliang Jing ◽  
Yugeng Xi
Keyword(s):  
Mobile Robot ◽  
Obstacle Avoidance ◽  
Sensor Fusion ◽  
High Performance ◽  
Positioning System ◽  
Laser Rangefinder ◽  
Ultrasonic Sensors ◽  
Robot Positioning ◽  
Video Sensors

Abstract This paper presents a high-performance positioning module for the mobile robot. The mobile robot is equipped with the internal and external sensors. Internal sensors are the acceleration gyroscopes. The positioning system makes use of the features of the external sensors to improve its performance: laser rangefinder ultrasonic sensors and video sensors, which were originally designed for mapping and obstacle avoidance modules, the positioning modules has demonstrated the system to work successfully in complex and uncertainty environments.

An Indoor Mobile Robot Positioning Algorithm Based on Adaptive Federated Kalman Filter

2021 ◽  
pp. 1-1
Author(s):  
Xiaobin Xu ◽  
Fenglin Pang ◽  
Yingying Ran ◽  
Yonghua Bai ◽  
Lei Zhang ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Mobile Robot ◽  
Indoor Mobile Robot ◽  
Robot Positioning ◽  
Federated Kalman Filter ◽  
Positioning Algorithm
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