M. Amin Alandihallaj

Papers

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About

M. Amin Alandihallaj is a pioneering researcher in space operations and autonomous robotic control, whose work bridges the gap between terrestrial testing and orbital reality. His primary research areas include microgravity emulation, space robotics, and intelligent control systems for spacecraft docking. Alandihallaj’s most significant contribution is the conceptualization and development of the Zero-G Lab, a multi-purpose facility designed to emulate space operations on Earth. His foundational paper on this facility has garnered 28 citations, establishing it as a critical resource for testing rendezvous and docking maneuvers before they face the harsh conditions of space. In his most recent work, Alandihallaj introduces an innovative MPC-based Deep Reinforcement Learning method for space robotic control that specifically addresses the complex challenge of fuel sloshing mitigation during autonomous satellite docking. This integrated framework represents a major advancement in handling unpredictable fluid dynamics in microgravity, offering a robust solution for future orbital missions. Through his dual focus on physical emulation infrastructure and cutting-edge AI-driven control systems, Alandihallaj is shaping the next generation of autonomous space operations.