Development of a Learning Simulation Framework for Modular Robot Manipulator
Conference proceedings article
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Author list: Poramet Fuangpanichjaroen, Narongsak Tirasuntarakul, Orapadee Joochim
Publication year: 2023
Abstract
According to the growing demand for industrial robotic arms, understanding the basic of industrial robotics is therefore important. This research presents a simulation framework that enables users to apply the theory of industrial robotic arms through practice in simulation, consisting of link, joint, degree of freedom. joint type, coordinate systems, workspace, and industrial robot types by designing the simulation in the form of a modular robot that the users can customize the robotic arm according to the user's needs, whether it is adjusting the size of the link, selecting the type of Joint, viewing the robot's endpoint coordinate system. Pros and cons of different types of industrial robotic arms are also considered.
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