Innovative Experimental Design of Modular Robot Platform

Author:

Yu Feng Men,Fei Wang

Abstract

Abstract In the current process of innovation education and practical teaching in universities, robot teaching and innovation experiments are important research topics. And with the continuous development and improvement of artificial intelligence, in the current process of innovative research on robots, more attention has been paid to the design of robotic automation and intelligent systems. It has significant meaning to the design and analysis of robot motion control and the improvement of robot research. The introduction of the modular robot platform into the teaching and research process can improve students ‘ability to independently design and develop robots, and it also can expand students’ knowledge of robot-related knowledge. In addition, the use of modular robot platforms can introduce task schemes as teaching cases and carry out hierarchical teaching modes, which is of great help in guiding students to carry out robot innovation research. When using the modular robot platform to carry out innovative research and design, it is necessary to pay attention to constructing an innovation experiment group. In this research, the writing robot developed by students is used as an object to design and study an automated system for robots to control writing brushes. The use of this experimental innovative design method can greatly enhance students’ enthusiasm for innovation, stimulate students’ interest in robots, and is of great help in cultivating students’ creative thinking and ability.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference5 articles.

1. Innovative experimental design and implementation of modular robot platform [J];Chao;Journal of Liaoning University (Natural Science Edition),2018

2. Design and Implementation of Experimental Platform for Autonomous Mobile Robots [J];Gang;Research and Exploration in Laboratory,2005

3. Design of experimental teaching platform for modular biped walking robot [J];Yajun;Value Engineering,2017

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