Dynamics and Control Laboratory
At the Dynamics and Control Laboratory, students and researchers develop robots/drones, smart control algorithms, and AI, and build robots for annual national competitions. We aim to build human capital and technological expertise to push research frontiers and commercialize innovative solutions. Our strategies include accelerating the learning curve and attracting skilled graduates from abroad. There is growing interest from lab alumni studying abroad who wish to return.
Vision
DCLab has the vision to be a center of excellence in technological development in the fields of “Robotics, Artificial Intelligence (AI), IoT, and Aerospace”.
Mission
Our mission is
to accumulate human resources and technological knowledge to advance the research boundaries
for marching forward to the commercialization of innovative solutions
through rigorous processes and practices.
The key action is
to shorten the learning curve for new generations, i.e., nurture students with technical knowledge and entrepreneurship
for advancing research and development in the fields of Robotics, Artificial Intelligence, and Aerospace
through our own designed extracurricular and our tools.
DCLab was founded in 2015 by Dr. SRANG Sarot to foster knowledge absorption for the next generation of talented engineers to become resourceful professionals. In our laboratory, we explore and apply knowledge in various fields ranging from robot and medical device development to spacecraft development. We are advancing research on modeling, simulation, control systems, artificial intelligence, system identification, estimation, and robotics, and we keep improving prototype development and product development. The gathered pieces of knowledge are constantly diffused via some activities such as yearly online intensive courses, robot development, aircraft and spacecraft development, seminars/conferences, and collaboration with private/public entities. DCLab has office space and fabrication facilities for all members to apply their technical knowledge by making prototypes. While working in DCLab, members are exposed to project-based learning, research culture, and company-like management, which can be applied to daily life applications and advanced research.
Members in 2019
Seminar
Team Work
Main Research Groups
There are four main research groups within DCLab:
Artificial Intelligence and Data Science
(Machine Learning, Deep Learning, Identification, Logistics, and Optimization, Data Analysis, Data Mining, and Big Data )
Robotics and Autonomous Navigation
(Robotics, Estimation, Identification, Control System, Sensor Fusion, and Localization and Mapping)
Aerospace
(Aircraft Structural Design, Finite Element Analysis, Rocket Propulsion, Unmanned Aerial Vehicle (UAV), Drone, and Spacecraft)
Management Structure
The laboratory is running in the same way as a company does. It has structure and people to handle all positions. Members are exposed to not only lab-based education culture but also entrepreneurship and will gain entrepreneurial skills from learning by doing.
