The PBL (Internet of Things) interdisciplinary program at Lunghwa University of Science and Technology focuses on integrating IoT with real-world applications. It emphasizes problem-based learning, encouraging students to address challenges in various fields such as technology, business, and engineering. The program prepares graduates for careers in industries utilizing IoT technology to create smart solutions and innovations.

▲The PBL (Smart Robotics) interdisciplinary program focuses on wheeled robot design. This specific track is guided by Professors Su Jinghui and Li Qixiong from the Department of Electronics, with the research lab located in C3013. The program emphasizes hands-on learning and interdisciplinary collaboration for students interested in developing smart robotic systems.

▲The wheeled robot design track focuses on various aspects, including microcontroller programming, firmware and software development, sensor integration, communication interfaces, printed circuit design, mechanical structure, motion control, algorithms, autonomous racing cars, and computer mice navigating mazes. These components are key in building smart robotics systems with practical applications in competitions and real-world scenarios.

▲The research project, led by Assistant Professor Wu Changxi from the Department of Electronics, involves an automatic coffee-making system using a Zenbo robot and a Dobot robotic arm. This system integrates advanced robotics and automation to efficiently prepare coffee, demonstrating the practical application of robotics in everyday tasks.

▲The leader of the Sensor and Control Laboratory is Associate Professor Chen Shifeng from the Department of Mechanical Engineering. His expertise includes robot mechanism design and motion control, testing and control of robotic applications, machine vision recognition, and AI-driven automation applications.

▲The PBL (Smart Robotics) interdisciplinary program is guided by Assistant Professor Zhang Minghong from the Department of Electrical Engineering. His expertise includes artificial intelligence, self-constructed fuzzy neural network algorithms, intelligent robots, motor and robotic arm control, and guiding intelligent robot competitions.

▲The PBL (Smart Robotics) interdisciplinary program recruits first-year undergraduate students from the day program. Applicants must submit an application form to their department's office. After review by the committee, the list of accepted students is announced by the third week. Each project group consists of 3-7 students, with 1-2 faculty members assigned as project advisors.

▲The PBL (Smart Robotics) interdisciplinary program offers independent learning courses, coordinated by the project group advisors each semester. These courses, worth 1 credit (3 hours per week), cover a range of activities including lectures, master classes, workshops, experiments, and digital learning. The content aims to provide hands-on, practical knowledge for students involved in robotics projects.