Unmanned Lunar Landers: AI and Autonomous Control Systems for Precise Landings

Bourhane Khadmiry

Abstract


This paper investigates the use of artificial intelligence (AI) and autonomous control systems for unmanned lunar landers, focusing on achieving precise landing capabilities. We propose a framework that integrates AI algorithms with sensor data to enhance the landers' navigation and control systems. The study highlights the challenges associated with lunar landing, including terrain variability and communication delays, and presents innovative solutions to address these challenges. Experimental results demonstrate the effectiveness of the proposed framework, showcasing improved landing accuracy and mission success rates. This research contributes to the advancement of autonomous lunar exploration, paving the way for future missions to the Moon.

Keywords


lunar landers, AI, autonomous control systems, precise landing

References


Bloise, I., & Orlandelli, M. (2017). A deep learning approach to autonomous lunar landing.

Borse, J. H., Patil, D. D., Kumar, V., & Kumar, S. (2022). Soft Landing Parameter Measurements for Candidate Navigation Trajectories Using Deep Learning and AI‐Enabled Planetary Descent. Mathematical Problems in Engineering, 2022(1), 2886312.

Carbone, A., Spiller, D., Farissi, M. S., Sasidharan, S. T., Latorre, F., & Curti, F. (2022, September). Hardware-in-the-Loop Simulations of Future Autonomous Space Systems Aided by Artificial Intelligence. In International Conference on Applied Intelligence and Informatics (pp. 83-99). Cham: Springer Nature Switzerland.

Finco, D. (2022). Assessment of a deep learning approach for autonomous lunar landing.

Lunghi, P., Lavagna, M., & Armellin, R. (2015). A semi-analytical guidance algorithm for autonomous landing. Advances in Space Research, 55(11), 2719-2738.

Nugroho, L. (2021). Powered landing guidance algorithms using reinforcement learning methods for lunar lander case. Jurnal Teknologi Dirgantara, 19(1), 43-56.

Scorsoglio, A., Furfaro, R., Linares, R., & Gaudet, B. (2020). Image-based deep reinforcement learning for autonomous lunar landing. In AIAA Scitech 2020 Forum (p. 1910).

Straub, J. (2011, January). A review of spacecraft AI control systems. In Proc. 15th World Multi-Conference on Systemics, Cybernetics and Informatics.


Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.