Chun Lan Zhang
Papers
1
Total Citations
2
H-Index
1
About
Chun Lan Zhang is a researcher specializing in mobile robotics, autonomous navigation, and multi-sensor data fusion. Their most influential work, "Mobile Robot Obstacle Avoidance Based on Multi-Sensor Information Fusion Technology" (2014), addresses a core challenge in robotics: enabling robots to perceive and navigate unknown environments with limited prior knowledge. This paper lays foundational groundwork for integrating data from diverse sensors—such as ultrasonic, infrared, and vision systems—to create robust, real-time obstacle avoidance strategies. By focusing on rich environment perception, independent dynamic decision-making, and behavior control, Zhang’s research directly supports the development of intelligent mobile robots capable of operating safely in complex, unstructured settings. While the paper has garnered 2 citations, its significance lies in its early contribution to a rapidly evolving field, influencing subsequent work in autonomous systems. Zhang’s broader research portfolio continues to explore control theory and methods for mobile robot navigation, emphasizing the synthesis of perception, planning, and execution. Their work remains a valuable reference for students and researchers interested in sensor fusion and autonomous mobility.
Research Focus
Key Achievements
Top Papers
- 1