Convolutional Neural Networks Training for Autonomous Robotics
Author:
Affiliation:
1. Kalashnikov Izhevsk State Technical University , Izhevsk
2. Slovak University of Technology , Trnava
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Information Systems
Link
https://www.sciendo.com/pdf/10.2478/mspe-2021-0010
Reference28 articles.
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3. [3] R. Pirnik, M. Hruboš and others. “Integration of inertial sensor data into control of the mobile platform”. in Advances in Intelligent and Soft Computing, SDOT 2015, vol. 511, pp. 271-282.10.1007/978-3-319-46535-7_21
4. [4] T. Dodok, N. Cubonova and others. “Utilization of strategies to generate and optimize machining sequences in CAD/CAM“. 12th International Scientific Conference of Young Scientists on Sustainable, Modern and Safe Transport. Procedia Engineering. Volume: 192, pp. 113-118.10.1016/j.proeng.2017.06.020
5. [5] M. Saga, M. Vasko and others. Chosen numerical algorithms for interval finite element analysis. Modelling of Mechanical and Mechatronic Systems. Procedia
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