Papers
2
Total Citations
11
H-Index
2
About
Cai Ze-su is a pioneering researcher in multi-robot systems and autonomous mobile robotics, with a focus on cooperative control and vision-based localization. His work addresses critical challenges in dynamic environments, particularly through the innovative application of economic principles to robotics. In his highly cited 2008 paper, "Multi-robot cooperative pursuit based on Combinatorial Auction mechanism under dynamic environment," Cai introduced auction theory to reduce communication load in pursuit-evasion games, enabling teams of autonomous robots to efficiently coordinate and capture multiple moving targets. This interdisciplinary approach has garnered 6 citations, influencing subsequent research in multi-agent task allocation. Earlier, in his 2007 study "Monocular-Vision-Based Mobile Robot Global Localization," Cai advanced environmental mapping by integrating Scale Invariant Feature Transform (SIFT) features with KD-tree-based nearest neighbor search for robust global localization using a single camera. This work, with 5 citations, demonstrated how highly distinctive visual features could enable precise robot positioning without expensive sensors. Cai’s contributions lie at the intersection of robotics, computer vision, and mechanism design, offering scalable solutions for real-world multi-robot coordination and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Monocular-Vision-Based Mobile Robot Global Localization5 citations · 2007