학술논문

Adapting a Very Small Size Soccer (VSSS) competition for learning robotics in virtual teaching
Document Type
Conference
Source
2022 IEEE Global Engineering Education Conference (EDUCON) Global Engineering Education Conference (EDUCON), 2022 IEEE. :553-558 Mar, 2022
Subject
Bioengineering
Computing and Processing
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Computer aided instruction
Technological innovation
Software algorithms
Games
Mobile robots
Proposals
Software tools
VSSS
mobile robotics
virtual teaching
higher education
educational innovation
Language
ISSN
2165-9567
Abstract
The combination of games, competitions around the world, and mobile robots cause motivation in students for learning while acquiring practical skills. However, the global pandemic has forced social and physical distancing measures, while the need for distance learning has made the teaching of robotics difficult. The intention of this work is the adaptation of the Very Small Size Soccer (VSSS) competition to be used as a distance learning strategy of robotics, following most of the rules of the original competition. The proposal consists in using free-available software and libraries for 1) modeling a non-holonomic wheeled mobile robot, 2) designing the graphical appearance, and 3) implementing different intelligent algorithms for computer vision, path planning, and decision-making. The main contribution of this work is the general methodology and development of a complete virtual system based on the VSSS, using only open and free software tools easily reachable by students. The fundamentals of mobile robotics (locomotion, perception, cognition, and navigation) have been successfully covered during the development of the system, while significant learning has been achieved by students.