Francesco Capolupo
Papers
2
Total Citations
28
H-Index
2
About
Francesco Capolupo is a researcher in aerospace engineering, specializing in autonomous trajectory planning and guidance for space missions. His work focuses on developing algorithms that enable spacecraft to safely and efficiently navigate complex environments, particularly for on-orbit inspection and small celestial body exploration. Capolupo’s major contribution is a receding-horizon trajectory planning algorithm for passively safe on-orbit inspection missions, which allows a chaser spacecraft to observe a tumbling target while guaranteeing an arbitrarily low collision risk. This work, published in 2019, has garnered 20 citations, reflecting its significance in enhancing the safety and autonomy of proximity operations. Additionally, his research on heuristic guidance techniques for exploring small celestial bodies, such as asteroids, leverages sampling-based motion planning methods like Rapidly Exploring Random Trees (RRT) and Sampling Based Model Predictive Optimization (SBMPO) to navigate constrained environments. With 8 citations, this work underscores his role in advancing autonomous exploration. Capolupo’s contributions are pivotal for future missions requiring robust, real-time decision-making in space, making his research essential for students and engineers working on autonomous spacecraft systems.
Research Focus
Key Achievements
Top Papers
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- 2