Araştırma Makalesi

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

Cilt: 13 Sayı: 4 22 Aralık 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

Kaynakça

  1. [1] C. Rui, I. V. Kolmanovsky, and N. H. McClamroch, “Nonlinear attitude and shape control of spacecraft with articulated appendages and reaction wheels,” IEEE Trans Automat Contr, vol. 45, no. 8, pp. 1455–1469, Aug. 2000, doi: 10.1109/9.871754.
  2. [2] G. Shengmin and C. Hao, “A comparative design of satellite attitude control system with reaction wheel,” in Proceedings - First NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2006, 2006, pp. 359–362. doi: 10.1109/AHS.2006.2.
  3. [3] Y. Yang, “Spacecraft Attitude and Reaction Wheel Desaturation Combined Control Method,” IEEE Trans Aerosp Electron Syst, vol. 53, no. 1, pp. 286–295, Feb. 2017, doi: 10.1109/TAES.2017.2650158.
  4. [4] P. Zhang, Z. Wu, H. Dong, M. Tan, and J. Yu, “Reaction-Wheel-Based Roll Stabilization for a Robotic Fish Using Neural Network Sliding Mode Control,” IEEE/ASME Transactions on Mechatronics, vol. 25, no. 4, pp. 1904–1911, Aug. 2020, doi: 10.1109/TMECH.2020.2992038.
  5. [5] M. Gajamohan, M. Merz, I. Thommen, and R. D’Andrea, “The Cubli: A cube that can jump up and balance,” in IEEE International Conference on Intelligent Robots and Systems, 2012, pp. 3722–3727. doi: 10.1109/IROS.2012.6385896.
  6. [6] M. Muehlebach, G. Mohanarajah, and R. D’Andrea, “Nonlinear analysis and control of a reaction wheel-based 3D inverted pendulum,” in Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., 2013, pp. 1283–1288. doi: 10.1109/CDC.2013.6760059.
  7. [7] T. L. Brown and J. P. Schmiedeler, “Reaction Wheel Actuation for Improving Planar Biped Walking Efficiency,” IEEE Transactions on Robotics, vol. 32, no. 5, pp. 1290–1297, Oct. 2016, doi: 10.1109/TRO.2016.2593484.
  8. [8] S. I. Han and J. M. Lee, “Balancing and velocity control of a unicycle robot based on the dynamic model,” IEEE Transactions on Industrial Electronics, vol. 62, no. 1, pp. 405–413, Jan. 2015, doi: 10.1109/TIE.2014.2327562.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Kontrol Mühendisliği, Mekatronik ve Robotik (Diğer)

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

22 Aralık 2025

Yayımlanma Tarihi

22 Aralık 2025

Gönderilme Tarihi

7 Mart 2025

Kabul Tarihi

23 Ağustos 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 13 Sayı: 4

Kaynak Göster

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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