Introducing Robotic Operating System as a Project-Based Learning in an Undergraduate Research Project

被引：1

作者：

Santos, Tatiana M. B. ^{[2
]}

Favoreto, Daniel G. S. B. ^{[1
]}

Carneiro, Mirella M. de O. ^{[3
]}

Pinto, Milena F. ^{[1
]}

Zachi, Alessandro R. L. ^{[1
]}

Gouvea, Josiel A. ^{[1
]}

Manhaes, Aline ^{[1
]}

Almeida, Luciana F. ^{[1
]}

Silva, Gabryel R. ^{[1
]}

机构：

[1] Fed Ctr Technol Educ Celso Suckow Fonseca, Rio De Janeiro, Brazil

[2] Fed Fluminense Univ, Niteroi, RJ, Brazil

[3] Univ Fed Rio de Janeiro, Rio De Janeiro, RJ, Brazil

来源：

2023 LATIN AMERICAN ROBOTICS SYMPOSIUM, LARS, 2023 BRAZILIAN SYMPOSIUM ON ROBOTICS, SBR, AND 2023 WORKSHOP ON ROBOTICS IN EDUCATION, WRE | 2023年

关键词：

Robotics; Project-based Learning; ROS; Education; LARGE-SCALE;

D O I：

10.1109/LARS/SBR/WRE59448.2023.10332969

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Simultaneous Localization and Mapping (SLAM) algorithms play a vital role in the field of robotics and autonomous systems. This algorithm enables the machines to navigate in unknown and dynamic environments without prior knowledge. In recent years, the integration of SLAM algorithms in various applications has increased significantly, making it an essential field of study. However, SLAM algorithms' significance in students' education is still relatively unexplored. Therefore, as an undergraduate research project, this work presents a comprehensive study of the Robotic Operating System (ROS) and SLAM algorithms application in students' education. By integrating SLAM algorithms into students' education, this project addresses the need to foster a more practical, experiential learning environment. As a result, this project aims to enhance comprehension of contemporary robotics and equip students to actively contribute meaningfully to the realm of robotics.

引用

页码：585 / 590

页数：6

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