Based on the conference on robotics and regulation development in education, a meeting will be held on November 20, 2025, at the New Erqi Center, Shantou University. The event aims to explore advancements in artificial intelligence and robotic operations for students and educators. Attendees will include students, their families, and faculty members from Shantou University. The agenda will feature discussions on the current trends and future directions of AI applications in education and regulation.
The meeting will also address the development of educational robotics, highlighting the importance of integrating these technologies within the curriculum. Participants will examine how educational institutions can effectively utilize robotics to enhance learning experiences.
The venue for the event is Room C332, and it will take place from 10:30 AM to 11:30 AM on March 24, 2026. The speaker for the session will be Dr. Kong Fei, a distinguished professor from Hong Kong University of Science and Technology. Dr. Kong specializes in educational robotics and AI, focusing on their application in learning environments.
Abstract: The development of robotic systems in educational settings is increasingly prominent, particularly in complex environments. Addressing challenges such as sensory noise and model inaccuracies is crucial. The operational guidelines and regulatory mechanisms are vital for ensuring the safety and efficiency of robotic systems in these contexts. This presentation will cover the latest strategies and methodologies for implementing AI in robotics education and regulation.
Dr. Kong has published extensively in leading journals, including Biomimetic Intelligence and Robotics and Robot Learning. He has been a keynote speaker at numerous conferences, including the 2021 IEEE ICRA. His research focuses on the intersection of robotics, automation, and intelligent system design.
For inquiries, please contact
Shantou University
Phone: 0755-26033876
Email: 518055@shantou.edu.cn
To reach Shantou University, you can take public transport to the following stations: C Station, or use bus lines that connect to the university. Detailed travel instructions can be found on the university’s website.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/advancements-in-machine-learning-and-robotics-regulation-insights-from-the-2025-conference/
