Shuyue Chen
Papers
2
Total Citations
12
H-Index
2
About
Shuyue Chen’s research focuses on intelligent mobile robotics, with a particular emphasis on sensor fusion and autonomous navigation in unknown environments. Chen’s major contributions lie in developing robust obstacle avoidance systems that integrate multiple sensing modalities. In their most cited work (9 citations), Chen proposed a pioneering method combining binocular stereo vision with infrared ranging to obtain complete, real-time distance information between a robot and its obstacles, significantly enhancing navigation reliability. A related study (3 citations) introduced a fuzzy logic planner that processes infrared sensor data to determine optimal navigation angles, enabling wheeled mobile robots to avoid obstacles smoothly without prior environmental knowledge. These contributions demonstrate Chen’s skill in merging hardware sensing with intelligent control algorithms, laying groundwork for more adaptive and safer autonomous systems. Chen’s work is particularly notable for its practical approach to solving real-world navigation challenges, offering clear pathways for students and researchers interested in sensor integration, fuzzy control, and mobile robot autonomy.
Research Focus
Key Achievements
Top Papers
- 1
- 2