Teaching Joint-Level Robot Programming with a New Robotics Software Tool

Gonzalez, Fernando; Zalewski, Janusz

doi:10.3390/robotics6040041

Cited by 7 publications

(12 citation statements)

References 10 publications

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“…The main results in the questionnaire and interviews showed that the FIRST program had a strong influence on students' decision to study STEM domains. These results support and strengthen previous research outcomes [29][30][31][32], which indicated that participation in robotics competitions increase interpersonal skills and promote career choice in a STEM domain.…”

Section: Discussionsupporting

confidence: 90%

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The Effect of the FIRST Robotics Program on Its Graduates

et al. 2020

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The program For Inspiration and Recognition of Science and Technology (FIRST) for young students incorporates project-based learning (PBL) with designing and building wireless-controlled robots. The students are guided by experts, mostly engineers. The FIRST organization determines the theme of the robot annual competition. The goal of this research is to characterize and evaluate the effect of the FIRST program on graduates’ self-efficacy, interpersonal skills, and career choices in science, technology, engineering, and mathematics (STEM). The research participants included 297 FIRST graduates, mostly high schoolers, who responded to questionnaires, and five of them were interviewed. Analysis of the data showed that the FIRST program improved graduates’ interpersonal skills such as time management, teamwork skills, and self-efficacy, as well as had an impact on the graduates’ STEM career choices. The main factors impacting the graduates’ career choice was their exposure to robotics and to experts from the industry. The theoretical contribution is to the social cognitive theory (SCT) in the context of the FIRST program. Our study explains students’ career choice through correlations among students’ aspirations for choosing a career, their self-efficacy, their interpersonal skills, and their actual choice. The practical contribution lies in better understanding the robotic PBL program and expanding the STEM work force.

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Section: Discussionsupporting

confidence: 90%

“…By building robots in teams, students can learn engineering skills such as teamwork skills, designing, and problem-solving. Using PBL in robotics helps improve the students' knowledge, while they gain the benefits of PBL [29,30].…”

Section: Roboticsmentioning

confidence: 99%

The Effect of the FIRST Robotics Program on Its Graduates

et al. 2020

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“…With all the advantages of AI, it has an obstacle to development and implementation -people express distrust of new technologies and often do not have the necessary knowledge. Users of information systems often confuse the concepts of artificial intelligence and robotics [13,14]. Non-AI programs execute a specific sequence of instructions, and AI systems, mimicking the human mind, are able to learn.…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence: confidence index in Russia and the world, prospects for implementation

Gruzdeva

2021

SHS Web Conf.

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Artificial intelligence technologies are being implemented in various fields, replacing the human mind with the help of specially designed algorithms. These systems are able to learn in the course of their functioning, free us from routine work, save time and material resources. The article presents the results of research on trust in breakthrough digital technologies as an important condition for their use, including in social life. There was revealed a high demand for «smart» technologies with an insufficient level of knowledge in this area, lack of interest in professional development. The article identifies the factors causing a negative attitude towards innovation. In the current conditions of the pandemic, a tendency has been revealed of an increase in the need for solutions using artificial intelligence and machine learning technologies, including in ensuring information security.

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“…A simplified C language [27] eliminating some of its major features is proposed for robot education. This approach is classified as an external DSL [11] because its source code is parsed by Yacc [28] and does not support pass-by-reference and pointer operators as the features.…”

Section: Bottom-up Approachmentioning

confidence: 99%

Human-Error Prevention for Autonomous Edge Software Using Minimalistic Modern C++

Fukano

Ishikawa

2019

BDCC

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In science and engineering using edge-embedded software, it is necessary to demonstrate the validity of results; therefore, the software responsible for operating an edge system is required to guarantee its own validity. The aim of this study is to guarantee the validity of the sampled-time filter and time domain as fundamental elements of autonomous edge software. This requires the update law of a sampled-time filter to be invoked once per every control cycle, which we guaranteed by using the proposed domain specific language implemented by a metaprogramming design pattern in modern C++ (C++11 and later). The time-domain elements were extracted from the software, after which they were able to be injected into the extracted software independent from the execution environment of the software. The proposed approach was shown to be superior to conventional approaches that only rely on the attention of programmers to detect design defects. This shows that it is possible to guarantee the validity of edge software by using only a general embedded programming language such as modern C++ without auxiliary verification and validation toolchains.

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Teaching Joint-Level Robot Programming with a New Robotics Software Tool

Cited by 7 publications

References 10 publications

The Effect of the FIRST Robotics Program on Its Graduates

The Effect of the FIRST Robotics Program on Its Graduates

Artificial intelligence: confidence index in Russia and the world, prospects for implementation

Human-Error Prevention for Autonomous Edge Software Using Minimalistic Modern C++

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