Autonomous thrust vector control using machine learning in physics simulations: enhancing performance in guidance
R Amarthya, A Agrawal, Y Chawla, A Kumar
This paper explores the use of machine learning for autonomous thrust vector control in guidance systems. It compares reinforcement learning models in a simulated environment, demonstrating their effectiveness for closed-loop control while considering factors like position, angle, velocity, and fuel consumption.
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The Evolution of Augmented Reality: A Look Into The Past, Present, and Future
Amarthya, R., Kumar, R., Bhogal, P.S., Anand, A., & Agrawal, A.
Augmented Reality (AR) technology blends digital and physical worlds, evolving into a powerful mobile tool. This paper examines AR's history, applications, and its impact on user interaction through 3D interfaces and Mobile AR Systems.
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