Features and perspectives of application of the rapidly exploring random tree method for motion planning of autonomous robotic manipulators

V. V. Golubov; S. V. Manko

Russian Technological Journal
Rossiiskii Tekhnologicheskii Zhurnal

ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)

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Golubov V.V., Manko S.V. Features and perspectives of application of the rapidly exploring random tree method for motion planning of autonomous robotic manipulators. Russian Technological Journal. 2023;11(6):16-27. https://doi.org/10.32362/2500-316X-2023-11-6-16-27

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ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)

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About the Authors

V. V. Golubov
MIREA – Russian Technological University
Russian Federation

Vladimir V. Golubov, Postgraduate Student, Department of Problems Control, Institute of Artificial Intelligence

78, Vernadskogo pr., Moscow, 119454

S. V. Manko
MIREA – Russian Technological University
Russian Federation

Sergey V. Manko, Dr. Sci. (Eng.), Professor, Department of Problems Control, Institute of Artificial Intelligence. Laureate of the Government Prize of the Russian Federation in the field of education, Member of the Scientific Council on Robotics and Mechatronics of the Russian Academy of Sciences.
Scopus Author ID 55761014700

78, Vernadskogo pr., Moscow, 119454

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