Autonomous Navigation of Mobile Robot Assisted by Its Identified Neural Network Model
Author:
Affiliation:
1. Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 119333 Moscow, Russia
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/33/1/8/pdf
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3. Novoselov, S., Sychova, O., and Tesliuk, S. (2019, January 22–26). Development of the Method Local Navigation of Mobile Robot a Based on the Tags with QR Code and Wireless Sensor Network. Proceedings of the 2019 IEEE XVth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH), Polyana, Ukraine.
4. Zhou, C., and Liu, X. The Study of Applying the AGV Navigation System Based on Two Dimensional Bar Code. Proceedings of the 2016 International Conference on Industrial Informatics—Computing Technology, Industrial Information Integration (ICIICII), Intelligent Technology, Wuhan, China, 3–4 December 2016.
5. Sani, M.F., and Karimian, G. (2017, January 9–11). Automatic navigation and landing of an indoor AR drone quadrotor using ArUco marker and inertial sensors. Proceedings of the 2017 International Conference on Computer and Drone Applications (IConDA), Kuching, Malaysia.
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