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About

Longsen Gao is an emerging researcher at the forefront of robotics, autonomous systems, and adaptive control, with particular expertise in on-orbit servicing, aerial robotics, and intelligent manipulator systems. His work spans both space and terrestrial robotics, addressing some of the field's most challenging problems involving uncertainty, flexibility, and multi-agent coordination. Gao's most impactful contribution, "Autonomous Multi-Robot Servicing for Spacecraft Operation Extension" (2023, 50 citations), introduced an adaptive robotic framework for critical on-orbit tasks including client satellite manipulation and jammed component dislodging — a significant advance for space sustainability. His subsequent work on adaptive detumbling of non-rigid satellites (2024, 26 citations) further established his reputation in handling uncertain flexible space dynamics. Beyond space robotics, Gao has pioneered novel applications including dual-UAV transportation of bendable objects and decentralized aerial load transport, pushing the boundaries of aerial manipulation. A distinguishing thread in his recent research is the integration of liquid neural networks into robotic control, applied across manipulators, quadrupedal robots, and inverse kinematics estimation. His 2026 vision-language-action model work (21 citations) signals a bold move toward cognitive robotic reasoning, marking Gao as a versatile and rapidly rising voice in modern robotics research.