YUAN-TIEN, CHOU
I-SHOU University Department of Electronic Engineering Student
E-mail：aabb23cc9200@gmail.com
HONG-XIANG, ZENG
I-SHOU University Department of Electronic Engineering Student
Abstract
This study addresses the issue of “blind spots” in conventional line-following robots, where a limited sensor count often leads to target loss during cornering. To achieve superior stability, we developed a robot equipped with an 8-channel infrared (IR) sensor array, fundamentally refining the path-tracking process. By integrating data from eight sensors, the system can precisely pinpoint the black line’s position beneath the chassis, moving beyond vague “left-or-right” binary logic. Coupled with a PID control algorithm, the robot executes real-time corrections for even the most minute deviations. Experimental results demonstrate that the synergy of an 8-channel configuration and PID control significantly enhances straight-line stability by eliminating oscillations. Furthermore, when navigating continuous S-curves, the steering response is notably more fluid than traditional setups, effectively reducing the risk of inertia-induced derailment. This experiment proves that the integration of high-resolution sensing and advanced control algorithms substantially improves a robot’s mobility and motion stability.
Keywords：Infrared Sensors, PID Algorithm, High-resolution Tracking, Motion Stability