A Comprehensive Study on Reinforcement Learning for High-Precision Robotic Systems

Abhishek Patel; Saurabh Verma; Pankaj Pali; Harsh Tiwari; Sagar Kanojiya

doi:10.15680/IJIRCCE.2023.1109032

Abhishek Patel Department of Electronics and Communication Engineering, Baderia Global Institute of Engineering and Management, Jabalpur, (M.P.), India
Saurabh Verma Department of Electronics and Communication Engineering, Baderia Global Institute of Engineering and Management, Jabalpur, (M.P.), India
Pankaj Pali Department of Electronics and Communication Engineering, Baderia Global Institute of Engineering and Management, Jabalpur, (M.P.), India
Harsh Tiwari Department of Electronics and Communication Engineering, Baderia Global Institute of Engineering and Management, Jabalpur, (M.P.), India
Sagar Kanojiya Department of Electronics and Communication Engineering, Baderia Global Institute of Engineering and Management, Jabalpur, (M.P.), India

DOI: https://doi.org/10.15680/IJIRCCE.2023.1109032

Keywords: Reinforcement Learning (RL), Robotic Systems, High-Precision Control, Robotic Navigation Algorithmic Performance, Accuracy Metrics, Empirical Validation.

Abstract

Reinforcement Learning (RL) has demonstrated significant potential in enhancing the capabilities of robotic systems through adaptive learning and decision-making. This paper presents a novel approach for robotic control and navigation utilizing RL algorithms. The proposed method achieved a remarkable accuracy of 96.9%, indicating robust performance in various robotic tasks. Additionally, the method demonstrated a mean absolute error (MAE) of 0.309 and a root mean square error (RMSE) of 0.107, reflecting precise and reliable predictions in the control and navigation processes. The paper provides a comprehensive overview of the RL principles applied, discusses the implementation details, and highlights the effectiveness of the proposed method through empirical results and case studies. The findings underscore the transformative potential of RL in advancing robotic systems and outline directions for future research in this evolving domain.