The recent developments in the field of cislunar and satellite communications are significantly advancing the capabilities and efficiency of these systems. There is a notable shift towards hybrid orbit configurations and data-driven methodologies, which are being employed to optimize satellite constellations and enhance communication reliability. Specifically, the integration of hybrid Earth-Moon Libration points with traditional orbits is showing promising results in improving coverage and reducing the Age of Information (AoI). Additionally, the use of Koopman operator-based approximations is being explored for accurate orbit prediction in cislunar space, addressing the challenges posed by nonlinear dynamics and sparse measurements. In the realm of robotic control, data-driven predictive control methods are being applied to nonholonomic robots, demonstrating high precision but also highlighting the necessity of considering underlying geometric constraints. Furthermore, advancements in simulation frameworks for wheeled robots, such as D4W, are enabling more accurate and efficient development of control algorithms through data-driven dynamics. Lastly, in LEO satellite communications, innovative approaches to latency optimization and interference control are being developed, leveraging hybrid beam patterns and dynamic interference management to enhance service quality and system coexistence.

Noteworthy papers include one proposing a hybrid satellite constellation for cislunar communication that significantly outperforms traditional designs in AoI and coverage, and another exploring Koopman operator-based approximations for accurate orbit prediction in cislunar space, supported by theoretical and experimental validation.