Cheng-An Yang
Papers
2
Total Citations
56
H-Index
2
About
Cheng-An Yang is a robotics researcher specializing in autonomous navigation, human-robot interaction, and intelligent control systems. His work centers on developing practical, real-time solutions for mobile robots operating in dynamic, human-centric environments. Yang’s most influential contribution is his 2018 paper on integrating LiDAR SLAM with obstacle avoidance for mobile robot navigation control, which has garnered 44 citations. This work established a robust framework using the Robot Operating System (ROS) to enable reliable personnel guidance in daily-life service applications. He further advanced human-robot collaboration in his 2019 study on robotic human-following using RGB-D cameras, which addressed the critical challenge of maintaining stable target tracking while navigating around unexpected obstacles. Yang’s research bridges the gap between theoretical SLAM algorithms and deployable control systems, making significant strides toward safe, autonomous service robots. His contributions are particularly notable for their emphasis on real-world practicality, combining sensor fusion with responsive control logic to create robots that can intuitively follow humans while avoiding collisions—a foundational capability for assistive robotics in healthcare, hospitality, and logistics.
Research Focus
Key Achievements
Top Papers
- 1
- 2