Papers
4
Total Citations
59
H-Index
4
About
Zhongzhong Cao is a pioneering researcher in autonomous robotics, with a focus on multi-sensor fusion, autonomous sailing systems, and modular robot self-assembly. His most influential work, "Design of a Hybrid Indoor Location System Based on Multi-Sensor Fusion for Robot Navigation" (33 citations), addresses critical challenges in indoor service robot localization by integrating multiple sensor inputs to reduce errors and processing time. Cao has also made significant contributions to autonomous sailing robots, proposing a Kelvin wake avoidance scheme using orientation-restricted Dubins paths (13 citations) and developing collision risk assessment methods for obstacle avoidance in low-mobility sailboats like OceanVoy. His recent work on parallel self-assembly for multi-USV systems (9 citations) tackles the complex problem of coordinating multiple unmanned surface vehicles in obstacle-laden environments, advancing modular robotics toward real-world applications. Cao’s research consistently bridges theoretical innovation with practical deployment, particularly in energy-efficient and environmentally benign maritime robotics. With over 59 total citations across his key publications, his work is shaping the future of autonomous navigation in both indoor and open-water settings, offering robust solutions for robots operating under challenging constraints.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4