Delta robot control by learning systems: Harnessing the power of deep reinforcement learning algorithms

The present study focuses on the implementation of Deep Reinforcement Learning (Deep-RL) techniques for a parallel manipulator robot, specifically the Delta Robot, within a simulated setting. We introduced a simulation framework designed to guide the Delta Robot’s end-effector to a designated spatia...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2024-02, Vol.46 (2), p.4881-4894
Hauptverfasser:	dos Santos Lima, Matheus, Kich, Victor Augusto, Steinmetz, Raul, Tello Gamarra, Daniel Fernando
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Deep learning End effectors Machine learning Robot arms Robot control Robot learning
Online-Zugang:	Volltext
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