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About

Bahador Beigomi is an emerging researcher specializing in space robotics, autonomous systems, and on-orbit servicing technologies — fields that are rapidly gaining global importance as orbital debris becomes an increasingly critical challenge for the future of spaceflight. His most significant contributions center on developing innovative solutions for the autonomous removal of space debris, combining advanced hardware simulation with cutting-edge artificial intelligence techniques. Beigomi's most-cited work focuses on the development of a six-degrees-of-freedom (6DOF) hardware-in-the-loop ground testbed, which integrates active gravity compensation through software-in-the-loop systems to realistically simulate the complex dynamics of space environments here on Earth. This platform provides the research community with a powerful tool for validating autonomous robotic debris removal strategies without the prohibitive cost of in-orbit experimentation. Complementing this infrastructure work, Beigomi has also explored the application of deep reinforcement learning — specifically the Soft Actor-Critic algorithm — combined with tactile sensor feedback to enhance robotic grasping of free-floating, uncooperative targets, directly addressing one of the most technically demanding aspects of debris capture. With over a dozen citations accumulated within his debut publication year alone, Beigomi demonstrates strong early-career momentum in a domain with profound implications for sustainable space exploration.