Automating Antenna Scheduling Problems Using Quantum Computing and Deep Reinforcement Learning. - Brian Wilson; Edwin Goh; Alex Guillaume; Ryan Alimo; Thomas Claudet; Hamsa Shwetha Venkataram (IGARSS, 2022)

Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. - Thomas Claudet; Ryan Alimo; Edwin Goh; Mark D. Johnston; Ramtin Madani; Brian Wilson (IEEE Access, 2022)

Benchmark Analysis of Semantic Segmentation Algorithms for Safe Planetary Landing Site Selection. - Thomas Claudet; Kento Tomita; Koki Ho (IEEE Access, 2022)

A novel graph-based theory for convexification of mission-planning constraints and generative pre-trained trajectory optimization. - Thomas Claudet; Davide Martire; Damiana Losa; Francesco Sanfedino; Daniel Alazard (IFAC J. Syst. Control., 2024)

An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments. - Ali Agha; Kyohei Otsu; Benjamin Morrell; David D. Fan; Sung-Kyun Kim; Muhammad Fadhil Ginting; Xianmei Lei; Jeffrey A. Edlund; Seyed Abolfazl Fakoorian; Amanda Bouman; Fernando Chavez; Taeyeon Kim; et al. (CoRR, 2025)