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About
Dr. Jing Cao is a leading researcher in space robotics and multi-agent cooperative control, with a focus on trajectory optimization for complex capture missions. Her work addresses critical challenges in autonomous space operations, particularly the synchronized control of multi-space-robot systems for capturing non-cooperative targets. In her highly cited 2022 study, she introduced an improved multi-objective fruit fly algorithm to optimize cooperative capture trajectories for dual-space robots, ensuring both position and attitude consistency of end-effectors—a breakthrough for tasks requiring precise coordination between multiple robotic arms. This research has garnered attention for its potential to enhance on-orbit servicing, debris removal, and assembly missions. Dr. Cao’s contributions lie at the intersection of bio-inspired optimization and aerospace engineering, offering efficient solutions to high-dimensional, multi-constraint problems. Her work is instrumental for students and researchers exploring autonomous space systems, demonstrating how nature-inspired algorithms can solve real-world engineering challenges. With her innovative approach, Dr. Cao continues to shape the future of intelligent space robotics.
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