Semi-Analytical Model for Design and Analysis of On-Orbit Servicing Architecture. - Koki Ho; Hai Wang; Paul A. DeTrempe; Tristan Sarton du Jonchay; Kento Tomita (CoRR, 2019)

Uncertainty-Aware Deep Learning for Autonomous Safe Landing Site Selection. - Kento Tomita; Katherine A. Skinner; Koki Ho (CoRR, 2021)

Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers. - Keidai Iiyama; Kento Tomita; Bhavi A. Jagatia; Tatsuwaki Nakagawa; Koki Ho (CoRR, 2021)

Estimating the Spatial Distribution of Vacant Houses with Machine Learning using Municipal Data. - Kento Tomita; Yuki Akiyama; Hiroki Baba; Osamu Yachida (IGARSS, 2022)

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

Deep Monocular Hazard Detection for Safe Small Body Landing. - Travis Driver; Kento Tomita; Koki Ho; Panagiotis Tsiotras (CoRR, 2023)

Stochastic Hazard Detection For Landing Under Topographic Uncertainty. - Kento Tomita; Koki Ho (CoRR, 2023)

Multi-Spacecraft Predictive Sensor Tasking for Cislunar Space Situational Awareness. - Kento Tomita; Yuri Shimane; Koki Ho (CoRR, 2023)

Real-Time Stochastic Terrain Mapping and Processing for Autonomous Safe Landing. - Kento Tomita; Koki Ho (CoRR, 2024)

Hazard Detection and Avoidance for Autonomous Spacecraft Landing. - Kento Tomita (2025)