Suping Zhao

Northwestern Polytechnical University, Xi'an Technological University

Papers

Total Citations

H-Index

About

Suping Zhao is a researcher advancing the frontiers of space and aerial robotics, with a primary focus on trajectory and path planning for complex, redundant robotic systems. Their key contributions lie in developing optimization-driven methods to solve multi-task and multi-waypoint problems, particularly for free-floating space robots and aerial robotic manipulators. Notably, Zhao’s most cited work (20 citations) introduces an improved genetic algorithm for multitask-based trajectory planning, addressing the emerging challenge of sequentially executing assembly tasks for the International Space Station—a critical step toward autonomous in-orbit operations. This work transforms the complex multitask trajectory-planning problem into a parameter optimization framework, showcasing practical relevance. Additionally, Zhao has explored hybrid particle swarm optimization for aerial robotic manipulators, which combine UAVs with robotic arms, tackling dynamic singularity constraints. While citation counts are modest, the research is foundational for future autonomous systems in space and aerial environments, demonstrating innovative algorithmic approaches to real-world robotic challenges.