Congcong Yang
Papers
1
Total Citations
25
H-Index
1
About
Congcong Yang is a leading researcher in robotics and intelligent automation, with a primary focus on autonomous navigation systems for high-risk industrial environments. Their most cited work, "SLAM, Path Planning Algorithm and Application Research of an Indoor Substation Wheeled Robot Navigation System" (2022, 25 citations), addresses critical safety challenges in indoor substations—areas where human staff face significant environmental hazards. In collaboration with the Chinese State Grid Corporation, Yang has advanced the intelligentization of substations by developing wheeled robots capable of autonomous inspection tasks. Their research integrates Simultaneous Localization and Mapping (SLAM) with sophisticated path planning algorithms, enabling robots to navigate complex, confined spaces reliably. This work directly supports the transition toward safer, more efficient industrial operations by reducing human exposure to dangerous conditions. Yang’s contributions are pivotal in bridging robotics theory with real-world utility, offering practical solutions for infrastructure monitoring and maintenance. Their ongoing efforts continue to shape the future of autonomous systems in critical energy sectors, with potential applications extending to other hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1