On the Impact of Gravity Compensation on Reinforcement Learning in Goal-Reaching Tasks For Robotic Manipulators

On the Impact of Gravity Compensation on Reinforcement Learning in Goal-Reaching Tasks For Robotic Manipulators

Advances in machine learning technologies in recent years have facilitated developments in autonomous robotic systems. Designing these autonomous systems typically requires manually specified models of the robotic system and world when using classical control-based strategies, or time consuming and...

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Bibliographic Details
Main Authors:	Jonathan Fugal, Jihye Bae, Hasan A. Poonawala
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Robotics
Subjects:	robotics control reinforcement learning physics-based machine learning
Online Access:	https://www.mdpi.com/2218-6581/10/1/46

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