Max Robotics — Global Service Robot Directory + US Certification

About

Ting-Sheng Weng is a researcher at the forefront of educational robotics, specializing in how intelligent machines can transform self-regulated learning (SRL) and language acquisition for young students. His work centers on designing interactive robotic systems—including quiz games and graphic-controlled platforms—that empower children to take ownership of their education. Weng’s most cited paper, “Development of Robotic Quiz Games for Self-Regulated Learning of Primary School Children” (2020, 10 citations), demonstrates how progressive information technology can help pupils improve skills through autonomous, engaging play. He also addresses critical sociolinguistic challenges, such as in “The Development of Educational Robots for Vietnamese to Learn Chinese” (2022, 4 citations), where he uses Zenbo Junior robots to support children from transnational Taiwanese-Vietnamese families struggling with Mandarin proficiency. Further contributions include designing AI robots that accompany English learning through human-like movements and facial expressions, making language practice more approachable for children. Weng’s research consistently bridges core literacy goals—independent action, communication, and social participation—with STEAM education, showing how thoughtfully coded robots can serve as patient, adaptive tutors. His work is especially notable for its practical focus on underserved learners, offering scalable solutions that blend artificial intelligence with developmental psychology.