Chin-An Shen
Papers
1
Total Citations
7
H-Index
1
About
Dr. Chin-An Shen is a leading researcher in robotics and sensor-based navigation, with a primary focus on simultaneous localization and mapping (SLAM) using RGB-D sensors. His most cited work, "Calibrated Kinect Sensors for Robot Simultaneous Localization and Mapping" (2014, 7 citations), introduces a pioneering algorithm that corrects distortions in both RGB and depth images from Kinect sensors before deploying them for robot navigation. This calibration step is critical for improving the accuracy and reliability of SLAM systems, enabling robots to build precise maps of unknown environments while tracking their own position in real time. Dr. Shen’s contributions address a fundamental challenge in mobile robotics—sensor noise and distortion—making his work a valuable reference for researchers developing cost-effective, vision-based navigation solutions. By demonstrating how consumer-grade sensors can be adapted for high-precision tasks, he has helped bridge the gap between affordable hardware and robust robotic perception. His research continues to influence advancements in autonomous systems, particularly in indoor mapping and exploration.
Research Focus
Key Achievements
Top Papers
- 1