Papers
2
Total Citations
20
H-Index
2
About
Yunlong Duan is a pioneering researcher at the intersection of robotics and materials science, whose work bridges evaluation methodologies and bio-inspired engineering. His most impactful contribution, "A Study on the Application of Coordinated TOPSIS in Evaluation of Robotics Academic Journals" (2018, 15 citations), revolutionizes assessment techniques by introducing coordinated TOPSIS—a novel method that addresses the critical gap of indicator coordination in traditional TOPSIS evaluations. This work provides a more holistic framework for ranking academic journals, directly benefiting the robotics community. Duan’s more recent breakthrough, "Adaptive and Robust Switchable Adhesion System: Bio-Inspired Synergistic Integration from Octopuses and Geckos" (2025, 5 citations), showcases his innovative approach to climbing robotics. By synergistically combining van der Waals forces from gecko feet with the negative pressure of octopus suckers, Duan has created a switchable adhesion system that adapts to diverse surface shapes—a significant leap beyond existing single-surface climbing robots. This bio-inspired integration not only enhances robot versatility but also opens new avenues for exploration in unstructured environments. With a growing citation impact and a focus on practical, interdisciplinary solutions, Duan is a rising star whose work promises to reshape both evaluation science and robotic mobility.
Research Focus
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Top Papers
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