Research on Path Tracking Control of Indoor Robot Based on RSSI
Authors: 
Yang Guihua, Tang Weiwei, Liu ZhiyiAuthors Info & Claims
Yang Guihua, Tang Weiwei, Liu ZhiyiAuthors Info & ClaimsPages 336 - 340
Abstract
In order to solve the problems of low positioning efficiency and large positioning error in current robot positioning estimation, a robot positioning algorithm based on WiFi signal strength RSSI (Received Signal Strength Indication) was designed. Then EKF algorithm was used to fuse the reference node information and electronic compass information to estimate and correct the robot's position and pose, and to determine the optimal estimated position. MATLAB platform was used to carry out the robot's path tracking control simulation experiment. The results show that the proposed algorithm can realize robot positioning with high accuracy and follow the predetermined path quickly and effectively.
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Index Terms
- Research on Path Tracking Control of Indoor Robot Based on RSSI
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Published In
April 2020
640 pages
ISBN:9781450376457
DOI:10.1145/3436286
- Conference Chairs:
- M. James C. Crabbe,
- Rita Yi Man Li,
- Rebecca Kechen Dong,
- Otilia Manta,
- Ubaldo Comite
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Association for Computing Machinery
New York, NY, United States
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Published: 04 January 2021
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ISBDAI '20
ISBDAI '20: 2020 2nd International Conference on Big Data and Artificial Intelligence
April 28 - 30, 2020
Johannesburg, South Africa
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Overall Acceptance Rate 70 of 340 submissions, 21%
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