Aaron O. Feldman

California Institute of Technology, Vaughn College of Aeronautics and Technology

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About

Aaron O. Feldman is a rising researcher in aerospace robotics and stochastic control systems, whose work bridges the gap between theoretical guarantees and real-world multi-agent autonomy. His primary research areas include decentralized formation control for spacecraft swarms and risk-aware performance certification for robotic systems. Feldman’s most cited paper, "Decentralized formation pose estimation for spacecraft swarms" (2020, 18 citations), introduces scalable estimation algorithms that enable swarms of satellites to maintain precise relative positioning without centralized communication—a critical capability for future distributed space missions. In his more recent work, "Guarantees on Robot System Performance Using Stochastic Simulation Rollouts" (2024, 3 citations), Feldman tackles a fundamental challenge in robotics: providing rigorous finite-sample performance guarantees for control policies under uncertainty. By bounding expected value, value at risk, and conditional value at risk from a limited set of trajectory rollouts, he offers a practical framework for certifying safety and reliability in stochastic environments. This work has immediate implications for autonomous systems operating in unpredictable settings, from planetary rovers to industrial robots. Feldman’s contributions exemplify how theoretical rigor can enhance the trustworthiness of autonomous systems, positioning him as a promising voice in the growing field of assured autonomy.