Shanping Gao

Quanzhou Normal University, Huaqiao University

Papers

Total Citations

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About

Shanping Gao is a leading researcher in robotics, with a primary focus on multi-robot collaborative systems and bio-inspired climbing robots. Their most impactful work, "Overview of Multi-Robot Collaborative SLAM from the Perspective of Data Fusion" (2023, 32 citations), addresses the critical challenge of large-scale environmental mapping by leveraging lightweight robot teams to reduce cost, computational load, and error accumulation. This contribution is foundational for advancing autonomous exploration in complex, real-world environments. Gao also pioneers safety mechanisms for climbing robots, notably designing a state algorithm and double-optimization retractor for gecko-inspired robots (2020), and developing a bionic connector for tower-climbing robots that mimics crocodile mouth action (2021). These innovations enhance the reliability and safety of robots operating at height, directly supporting infrastructure inspection and maintenance. With a career marked by practical, interdisciplinary engineering, Gao’s work bridges theoretical SLAM advances with tangible robotic hardware solutions, offering valuable insights for students and researchers in field robotics, sensor fusion, and biomimetic design.