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Arunkumar Rathinam is a leading researcher in autonomous space robotics and spacecraft guidance, navigation, and control (GNC). His work focuses on integrating artificial intelligence into space operations, particularly for on-orbit manipulation and docking. Rathinam’s major contributions include developing intelligent GNC architectures that leverage state-of-the-art AI components for real-time decision-making, moving beyond conventional ground-controlled systems. He has pioneered the use of imitation learning for trajectory planning of robotic manipulators on free-floating spacecraft, enabling autonomous adaptation without explicit programming. His most cited work, "Zero-G Lab: A multi-purpose facility for emulating space operations" (28 citations), introduces a groundbreaking on-ground testbed for micro-gravity research, allowing safe emulation of orbital rendezvous and docking maneuvers. This facility provides critical insights for validating autonomous systems before space deployment. With over 58 total citations across his key papers, Rathinam’s research bridges the gap between AI and practical space engineering, offering scalable solutions for future autonomous missions. His achievements highlight a commitment to advancing space autonomy, making him a notable figure in the field of intelligent space robotics.