Project-based Robotics Courses for the Students of Mechanical Engineering Technology

Zhang, Zhou; Zhang, Andy; Zhang, Mingshao; Esche, Sven K.

doi:10.18260/1-2--33209

Cited by 7 publications

(8 citation statements)

References 24 publications

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“…Recently, there has been a push to incorporate AI and machine learning into the middle school and high school curriculum ( Xiong, Wang & Huang, 2018 ; Zhai et al, 2021 ; Dai et al, 2020 ; Knox, 2020 ; Ali et al, 2019 ). Project-based learning in robotics has been successful at the university level ( Zhang et al, 2020 ) and both game- and project-based learning have been shown to be effective in teaching students about AI ( Leitner et al, 2023 ; Martins & Wangenheim, 2022 ). Guiding students through projects involving image recognition is an excellent way to introduce them to the basics of machine learning and prepare them for a world that is quickly integrating AI into everyday life ( Sophokleous et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

A low-cost wireless extension for object detection and data logging for educational robotics using the ESP-NOW protocol

Capaldi

2024

PeerJ Computer Science

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In recent years, inexpensive and easy to use robotics platforms have been incorporated into middle school, high school, and college educational curricula and competitions all over the world. Students have access to advanced microprocessors and sensor systems that engage, educate, and encourage their creativity. In this study, the capabilities of the widely available VEX Robotics System are extended using the wireless ESP-NOW protocol to allow for real-time data logging and to extend the computational capabilities of the system. Specifically, this study presents an open source system that interfaces a VEX V5 microprocessor, an OpenMV camera, and a computer. Images from OpenMV are sent to a computer where object detection algorithms can be run and instructions sent to the VEX V5 microprocessor while system data and sensor readings are sent from the VEX V5 microprocessor to the computer. System performance was evaluated as a function of distance between transmitter and receiver, data packet round trip timing, and object detection using YoloV8. Three sample applications are detailed including the evaluation of a vision-based object sorting machine, a drivetrain trajectory analysis, and a proportional-integral-derivative (PID) control algorithm tuning experiment. It was concluded that the system is well suited for real time object detection tasks and could play an important role in improving robotics education.

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Section: Introductionmentioning

confidence: 99%

A low-cost wireless extension for object detection and data logging for educational robotics using the ESP-NOW protocol

Capaldi

2024

PeerJ Computer Science

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“…Despite the numerous benefits of active methodologies, the vast majority of these methods are currently applied in primary and secondary schools [31]. There are some cases where active methodologies are implemented in university studies [16,32,61,81,86,112]. However, it should be noted that applying a single active learning method (e.g., only project-based learning), may not be sufficient to achieve high levels of student motivation and commitment.…”

Section: Introductionmentioning

confidence: 99%

Applying active learning by contextualizing robotic applications to historical heritage

Quesada‐Real,

Perez‐Peña,

Morgado‐Estévez

et al. 2023

Comp Applic In Engineering

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Optional university courses are designed to allow undergraduate students to specialize in relevant fields to enhance their skills and knowledge for their future careers. However, there are some cases in which students prioritize enrolling in courses that are easy to pass. This choice results in having students with low motivation and commitment, who mainly focus on doing just enough to pass the course, missing the opportunity to boost their skills. In this study, an eclectic approach is proposed, applying a mixture of active learning methods together with the theory of multiple intelligences to improve students' performance, motivation, and commitment throughout the course. The study was applied to the 56 students enrolled in the optional Micro‐Robotics Application spring course in the year 2021 at the University of Cádiz (Spain). Results demonstrate that this combination of active learning methodologies increased students' motivation, prompting them to give their best in terms of commitment, performance, and creativity. Furthermore, they were convinced that during the course they not only learned relevant robotic knowledge but also acquired essential skills needed for their future. Finally, this study highlights the benefits and future directions for implementing active learning methodologies in science, technology, engineering, and mathematics courses.

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“…To better understand just how much time is to be allocated for the course tasks, Table 3 provides the given weeks across the semester and when assignments are due. • Final presentation/competition This proposed curriculum is in its early stages, where like many education research in mechatronics lab curriculum a course survey is to be provided for feedback in order to gauge our success [22]. This proposed survey will allow analysis for how much students learned from the course, how engaged they were, and if they felt amount of material learned was reasonable.…”

Section: Course Timeline and Learning Skillsmentioning

confidence: 99%

WIP: A Systems-level Approach for an Introductory Mechatronics Laboratory Course for Undergraduate Mechanical Engineering Students

Gill¹,

Morales²,

Quintero³

2020 ASEE Virtual Annual Conference Content Access Proceedings

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Karnveer Gill received his B.S. degree from San Francisco State University in Electrical Engineering. In his time at San Francisco, he worked as an undergraduate teaching assistant in Mechatronics as well as a research assistant in the Control for Automation and Rehabilitation Robotics Lab. He currently works in the marine robotics industry as a Junior Robotics Engineer at Greensea Systems Inc. His current research interests include ROV's and EOD robotics.

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Project-based Robotics Courses for the Students of Mechanical Engineering Technology

Cited by 7 publications

References 24 publications

A low-cost wireless extension for object detection and data logging for educational robotics using the ESP-NOW protocol

A low-cost wireless extension for object detection and data logging for educational robotics using the ESP-NOW protocol

Applying active learning by contextualizing robotic applications to historical heritage

WIP: A Systems-level Approach for an Introductory Mechatronics Laboratory Course for Undergraduate Mechanical Engineering Students

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