Research Article

Simulation of Evolutionary Reinforcement Learning-Based Self-Balancing Throwable One-Legged Robot with a Reaction Wheel

Volume: 13 Number: 4 December 22, 2025
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Simulation of Evolutionary Reinforcement Learning-Based Self-Balancing Throwable One-Legged Robot with a Reaction Wheel

Abstract

In this paper, the One-Legged robot is designed to stabilize itself and stand upright at the desired location after being thrown from a different heights. The 5-DOF planar underactuated main body is driven by Reaction wheels, and adaptive Cartesian impedance control has been implemented to effectively manage hard impacts. Evolutionary Reinforcement Learning based AI Agent have been used to adapt to different launch conditions, such as varying speed and altitude. The learning process was performed in real-time using the Matlab simulation program, which models the system dynamics of the robot. The graphical results of the simulation confirm that, with the assistance of the AI agent, the dynamic robot has successfully maintained its stability without tipping over after the launch and has been able to make the desired correction.

Keywords

References

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Details

Primary Language

English

Subjects

Control Engineering, Mechatronics and Robotics (Other)

Journal Section

Research Article

Early Pub Date

December 22, 2025

Publication Date

December 22, 2025

Submission Date

March 7, 2025

Acceptance Date

August 23, 2025

Published in Issue

Year 2025 Volume: 13 Number: 4

APA
Hülako, H. (2025). Simulation of Evolutionary Reinforcement Learning-Based Self-Balancing Throwable One-Legged Robot with a Reaction Wheel. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji, 13(4), 1680-1698. https://doi.org/10.29109/gujsc.1653403

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