Delta robot control by learning systems: Harnessing the power of deep reinforcement learning algorithms
Matheus dos Santos Lima,
Victor Augusto Kich,
Raul Steinmetz
et al.
Abstract: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 spatial point accurately. Within this environment, the robotic agent undergoes a learning process grounded in trial and error. It garners positive rewards for successful predictions regarding the next action and faces neg… Show more
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