Review of Reinforcement Learning for Robotic Grasping: Analysis and Recommendations
Hiba Sekkat,
Oumaima Moutik,
Loubna Ourabah
et al.
Abstract:This review paper provides a comprehensive analysis of over 100 research papers focused on the challenges of robotic grasping and the effectiveness of various machine learning techniques, particularly those utilizing Deep Neural Networks (DNNs) and Reinforcement Learning (RL). The objective of this review is to simplify the research process for others by gathering different forms of Deep Reinforcement Learning (DRL) grasping tasks in one place. Through a thorough analysis of the literature, the study emphasize… Show more
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