Tingya Liu

Papers

Total Citations

H-Index

About

Tingya Liu is a researcher specializing in intelligent robotics and embedded control systems, with a focus on autonomous navigation and obstacle avoidance technologies. Their most cited work, "Design of an Intelligent Car for Searching Track and Avoiding Obstacles" (2015), demonstrates a practical approach to mobile robotics by integrating UP-InnoSTART™ robot chassis with MultiFLEX™ 2-PXA270 controllers. This paper, which has garnered 2 citations, outlines a foundational system for track-following and real-time obstacle detection, contributing to the development of cost-effective, educational robotic platforms. Liu's research bridges the gap between theoretical control algorithms and hands-on implementation, making complex robotics more accessible to students and hobbyists. While their citation count is modest, the work reflects a commitment to applied engineering and STEM education, offering a replicable model for intelligent car design. Liu’s contributions highlight the importance of modular, controller-based systems in advancing autonomous vehicle research, particularly in low-cost prototyping environments. Their work serves as a stepping stone for further innovations in intelligent transportation and mobile robot navigation.