Max Robotics — Global Service Robot Directory + US Certification

About

Yi-Chun Lin’s research bridges robotics, computer vision, and educational technology, with a focus on intelligent systems for real-world applications. Her early work on servo motor controllers for robotic manipulators (2012, 20 citations) laid the groundwork for precise motion control in automation, while her studies on visual patrol systems (2011, 11 citations) addressed challenges in delivering surveillance video from mobile robots over bandwidth-limited networks. Lin also advanced indoor robot navigation through the DWA* algorithm (2009, 7 citations), combining global path planning with local reactive methods for efficient movement. Her contributions to home security robotics include a monocular vision system for circle object recognition (2012, 6 citations), enabling rapid detection of colored objects. More recently, Lin applied unmanned aircraft systems to measure glide slope angles of airport Precision Approach Path Indicators (2020, 4 citations), demonstrating her work’s impact on aviation safety. Notably, her 2024 quasi-experimental study (2 citations) explores how educational robot interventions improve elementary students’ computational thinking skills, highlighting her commitment to STEM education. With a career spanning hardware design, algorithm development, and pedagogical innovation, Lin’s research continues to influence both technical and educational domains.