The use of supervised learning in robotics
| dc.contributor.author | Serdyuk, S. | |
| dc.date.accessioned | 2020-08-26T09:17:26Z | |
| dc.date.available | 2020-08-26T09:17:26Z | |
| dc.date.issued | 2020 | |
| dc.description | Serdyuk S. The use of supervised learning in robotics / S. Serdyuk ; supervisor M. Malakhova // Black Sea Science 2020 : рroc. of the Intern. Competition of Student Scientific Works. Information Technology, Automation and Robotics / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2020. – P. 235–242 : fig. – Ref.: 7 tit. | ru_RU |
| dc.description.abstract | In this paper, there are considered definitions of the direct and inverse kinematics. The solution of inverse kinematics problem is shown in detail on the example of the kinematic scheme of the manipulator. Also, it is discovered the concept of degrees of freedom and coordinate system. The example of path-planning shows the process of moving the robot along a curved path, determining the angle and distance that robot needs to go to the next point of the path. Machine learning is also considered to be a unit of artificial intelligence. Classification and regression are found to be the main tasks of supervised learning. There were analyzed cases in which regression or classification are applied and were given examples of application of machine learning in the modern world and robotics. This science paper contains 15 pages and 4 figures. | ru_RU |
| dc.identifier.uri | https://card-file.ontu.edu.ua/handle/123456789/14489 | |
| dc.language.iso | en | ru_RU |
| dc.subject | inverse kinematics problem | ru_RU |
| dc.subject | manipulator | ru_RU |
| dc.subject | path-planning | ru_RU |
| dc.subject | machine learning | ru_RU |
| dc.subject | classification | ru_RU |
| dc.subject | regression | ru_RU |
| dc.title | The use of supervised learning in robotics | ru_RU |
| dc.type | Article | ru_RU |
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