Shanbo He

Papers

Total Citations

H-Index

About

Shanbo He’s research centers on autonomous navigation systems for mobile robots, with a particular focus on outdoor environments where precision and reliability are critical. His most cited work, “Research of Autonomous Navigation Strategy for an Outdoor Mobile Robot” (2014), proposes a robust navigation strategy that integrates encoder disks, electronic compasses, and GPS into a dead reckoning system. To mitigate cumulative positioning errors inherent in such systems, He applies an extended Kalman filter method, enhancing the accuracy and stability of robot localization in real-world settings. This contribution addresses a fundamental challenge in field robotics—achieving dependable autonomous movement under variable outdoor conditions. While his citation count of 4 reflects a specialized niche, the work demonstrates practical engineering insight by combining sensor fusion with probabilistic filtering. He’s research is valuable for students and engineers developing cost-effective navigation solutions for applications like agricultural robots, inspection vehicles, or autonomous ground systems. His approach underscores the importance of integrating multiple low-cost sensors with advanced estimation algorithms to achieve reliable performance outside controlled laboratory environments.