An Android and Arduino Based Low-Cost Educational Robot with Applied Intelligent Control and Machine Learning

López-Rodríguez, Francisco M.; Cuesta, Federico

doi:10.3390/app11010048

Cited by 13 publications

(3 citation statements)

References 36 publications

(48 reference statements)

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“…Additionally, OBNiSE provides the possibility to scale the original scope, integrating technologies such as machine learning, computer vision, and network management, among others [40]. Taking advantage of these features, we can employ the webcam as an image sensor to develop a motion control based on computer vision, as has been proved in other works [34,41]. Multi-sensor data fusion can be applied due to all these sensors involved in the toolkit to reduce uncertainty and increase information about the state of the system [42].…”

Section: Discussionmentioning

confidence: 91%

MEIoT 2D-CACSET: IoT Two-Dimensional Cartesian Coordinate System Educational Toolkit Align with Educational Mechatronics Framework

Carrasco-Navarro

Luque-Vega

Nava-Pintor

et al. 2022

Sensors

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The educational sector has made extraordinary efforts to neutralize the impact of the pandemic caused by COVID-19, forcing teachers, scholars, and academic personnel to change the way education is delivered by developing creative and technological solutions to improve the landscape for education. The Internet of Things (IoT) is crucial for the educational transition to digital and virtual environments. This paper presents the integration of IoT technology in the Two-Dimensional Cartesian Coordinate System Educational Toolkit (2D-CACSET), to transform it into MEIoT 2D-CACSET; which includes educational mechatronics and the IoT. The Educational Mechatronics Conceptual Framework (EMCF) is extended to consider the virtual environment, enabling knowledge construction in virtual concrete, virtual graphic, and virtual abstract levels. Hence, the students acquire this knowledge from a remote location to apply it further down their career path. Three instructional designs are designed for this work using the MEIoT 2D-CACSET to learn about coordinate axes, quadrants, and a point in the 2D Coordinate Cartesian System. This work is intended to provide an IoT educational technology to offer an adequate response to the educational system’s current context.

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Section: Discussionmentioning

confidence: 91%

MEIoT 2D-CACSET: IoT Two-Dimensional Cartesian Coordinate System Educational Toolkit Align with Educational Mechatronics Framework

Carrasco-Navarro

Luque-Vega

Nava-Pintor

et al. 2022

Sensors

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show abstract

“…Figure 3 shows the educational robot platform built by the research group, including mobile base, data processor, data acquisition equipment and mechanical support [31]. Figure 4 shows the overall workflow of the system.…”

Section: Educational Robot Hardware Platform For Classroom Behavior D...mentioning

confidence: 99%

Application of improved target detection algorithm in sports robot motion behavior

Cheng

2023

International Conference on Mathematics, Modeling, and Computer Science (MMCS2022)

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Target detection in classroom education scene often brings some difficulties to target detection based on YOLO due to the large detection range and small detection target in classroom. In this study, target detection methods DPM and R-FCN were integrated into YOLO and an improved neural network structure was designed. The feature extraction mode included a fully connected layer and pooling and then convolution to reduce the loss of feature information. Then, a sliding window merging algorithm based on RPN was designed to form a feature extraction algorithm based on improved YOLO. In this study, a context detection platform for educational robot was built to clarify the overall workflow of context detection for educational robot. the comparison with the YOLO algorithm shows that the proposed algorithm is superior to the YOLO algorithm in recognition accuracy.

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“…As mentioned above, the Wi-Fi fingerprinting method combines offline phase and online phase [28]. In the offline phase, the target is to realize the fingerprint data acquisition.…”

Section: Signal Distance Correctormentioning

confidence: 99%

Reliable Wi-Fi Indoor Localization in Case of AP Loss by Using Integrated Model Based on Signal Anomaly Detector and Signal Distance Corrector

Yao

Yang

et al. 2021

Discrete Dynamics in Nature and Society

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When developing a Wi-Fi indoor positioning system in a real-world environment, the problems we have to face are that some access points’ signal strength fluctuates extensively or even loses contact due to the cybersecurity threats, leading to the fact that the indoor location system cannot get reliable application in a real-world environment. To solve this problem, we propose a new integrated model based on signal anomaly detector and signal distance corrector to provide reliable position estimation when the access points’ signal is lost under cybersecurity threats. The signal anomaly detector improves recognition capability of the uncertain signal and noise, while the signal distance corrector improves the robustness and fault tolerance of the highly variable Wi-Fi signals. To fully reflect the performance of the proposed method, experiments have been carried out in the real environment of indoor parking lots. The results show that the proposed integrated model successfully provides reliable position estimation when the access points are lost under cybersecurity threats.

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An Android and Arduino Based Low-Cost Educational Robot with Applied Intelligent Control and Machine Learning

Cited by 13 publications

References 36 publications

MEIoT 2D-CACSET: IoT Two-Dimensional Cartesian Coordinate System Educational Toolkit Align with Educational Mechatronics Framework

MEIoT 2D-CACSET: IoT Two-Dimensional Cartesian Coordinate System Educational Toolkit Align with Educational Mechatronics Framework

Application of improved target detection algorithm in sports robot motion behavior

Reliable Wi-Fi Indoor Localization in Case of AP Loss by Using Integrated Model Based on Signal Anomaly Detector and Signal Distance Corrector

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