Stephen Paschall

Papers

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About

Stephen Paschall is a key figure in autonomous planetary landing systems, with his research centering on hazard detection and precision navigation for lunar and planetary descent vehicles. His most influential work, "Hazard Detection Methods for Lunar Landing" (2009, 27 citations), critically analyzes Apollo-era landing strategies, highlighting how those missions relied on ideal lighting and manual piloting. Paschall then translates these lessons into foundational algorithms for the Constellation program, addressing the challenge of safe, autonomous landings in non-ideal conditions. Expanding on this, he contributed to the Autonomous Landing and Hazard Avoidance Technology (ALHAT) project, a multi-agency initiative to develop safe, precision-landing systems. In "Post2 End-to-End Descent and Landing Simulation for ALHAT Design Analysis Cycle 2" (2010), he demonstrates the use of the POST2 6DOF simulator to test and validate these autonomous navigation and hazard-avoidance algorithms. Paschall’s work bridges historical flight experience with modern simulation and autonomy, directly impacting the design of future robotic and crewed landers. His contributions are essential for enabling safe, precise touchdowns on the Moon and beyond.