AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: UNIFEOB
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Date
2025-02-11
Journal Title
Journal ISSN
Volume Title
Publisher
Centro Universitário de Ensino Octávio Bastos
Abstract
Our company focuses on SDG 8, which seeks to promote economic growth
sustained, inclusive and sustainable, with full and productive employment, in addition to work
decent for everyone. In this context, the robotic prototype to be developed must act as a
facilitator in an area that directly contributes to the achievement of these objectives,
promoting innovative solutions that contribute to the creation of safer working environments
inclusive and sustainable.
The proposal, therefore, aims not only at technological development, but also at
commitment to social and environmental responsibility, ensuring that robotic automation
contribute to building a fairer and more sustainable future.
The development of the robot will be oriented to directly meet the needs
established by SDG 8, more specifically with regard to promoting a
inclusive and sustainable economic growth. From this, the robot can be designed to
act in several areas, from the automation of repetitive and dangerous tasks, which can reduce
risk of work accidents, to support in activities that promote the inclusion of people
with disabilities in the labor market.This project consists of the development of a mechanical arm specialized in
carry out soldering at fixed points on circuit boards. The main structure of the project involves
a movement base in a Cartesian plane, allowing the arm to move in a
need for different soldering points. Welding will be carried out with the aid of a welding system.
local tin supply, ensuring process efficiency and continuity.
The ultimate objective is to create an efficient system capable of performing welding with high
precision on circuit boards with an increasing level of autonomy due to the integration of
machine learning techniques
Description
Keywords
Machine Learning, Robótica, Interface de Usuário, VISÃO COMPUTACIONAL, Scikit-Learn, ÁLGEBRA LINEAR