Robotics and Advanced Autonomous Systems Research Group , RAAS
Head of research group: Dr.Kittipong Yaovaja
Machinery, Robots, and Autonomous Systems have been essential tools for reducing cost of production and enhancing product quality in most manufacturing industries as well as facilitating and enhancing living standards. Robotics and Advanced Autonomous Systems (RAAS) Research Group was supported and funded by the Faculty of Engineering at Sriracha, Kasetsart University, Sriracha Campus. RAAS research group was founded to raise the potential of Thailand.
The roles of the RAAS are research and development (R&D), creating innovation, and creating key personnel while our group supports community, private section, and government section. The RAAS research group is a multidisciplinary group which comprises of researchers and experts in various fields of engineering. Our research area and expertise are the following.
– Automation design and integration
Design, program, and implementation of SCADA and automation integration by using industrial robots such as ABB and KUKA robots, NI LabVIEW measurement and control software, and industrial automation and drives from Siemens, Allen Bradley, Mitsubishi, Omron, Sanyo Denki and others.
– Robotics and machine design
Design, built, and control a variety of robot and machinery using CAD/CAM software; such as a 6-axis articulated robot, a Hexapod robot, a Delta robot, an AGV, a flexible-joint robot, a 7-DOF multi-function robot on a crane, a farm robot, a drone, and others.
– Advanced control system design
Design, program, and implementation advanced control such as optimal control, fuzzy control, multivariable feedback control, nonlinear control.
– Embedded system design
Design and install semi-commercial automotive ECU units. Design and implementation LabVIEW real-time/ FPGA systems, design ROS system and embedded system such as on Raspberry PI and microcontrollers.
– Artificial intelligence system
Design, program, and implementation of interactive intelligence system using vision, depth and thermal sensors. Design artificial intelligence for industry or control systems such as using fuzzy learning system, machine learning, Deep learning, and others.
– Optimization and analysis
Analyze engineering system based on mathematical equations, and find the proper solutions based on advanced optimization methods.