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The Use of Reinforcement Learning in the Task of Moving Objects with the Robotic Arm

  • Ermek E. AitygulovEmail author
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11866)

Abstract

The article describes the task of controlling a robotic arm to transfer objects in front of it. To select actions, the reinforcement learning algorithm is used. In conclusion, there are presented the results of experiments in the Gazebo simulation environment with two different inputs: either with information about the position of the hand and the object, or with information about the position of the hand and the image with the camera.

Keywords

Robotic arm Reinforcement learning Object manipulation 

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Moscow Institute of Physics and TechnologyMoscowRussia

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