Book ChapterDOI
Inductive Machine Learning with Image Processing for Objects Detection of a Robotic Arm with Raspberry PI
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TLDR
This study was designed to build a prototyping and develop algorithms that allow the detection, classification, and movement of objects of a robotic arm of 4 DOF with the following technologies: ArmUno arm structure, Raspberry Pi 3 B+, PiCam 2.1, driver PCA9685 for servomotors, Opencv3, and python.Abstract:
Goals. The present study was designed to build a prototyping and develop algorithms that allow the detection, classification, and movement of objects of a robotic arm of 4 DOF with the following technologies: ArmUno arm structure, Raspberry Pi 3 B+, PiCam 2.1, driver PCA9685 for servomotors, Opencv3, and python. Another goal was to measure the effectiveness of prediction and classification of objects photographed by the robotic arm, using machine learning with the KNN classifier method.read more
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Journal ArticleDOI
Dual arm robot in cooperation with humans for flexible assembly
Sotiris Makris,Panagiota Tsarouchi,Aleksandros-Stereos Matthaiakis,Athanasios Athanasatos,Xenofon Chatzigeorgiou,Michael Stefos,Konstantinos Giavridis,Sotiris Aivaliotis +7 more
TL;DR: In this paper, a flexible assembly cell, including a dual arm robot in cooperation with humans for assembly tasks typically performed by operators, is presented, where the robot performs these tasks both in isolation and cooperation with the human.
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Internet Controlled Robotic Arm
TL;DR: The development of an internet controlled robotic arm that can be controlled by a computer via the internet and is expected to bridge the gap between robot and household chores.
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Low Cost Platform for Automatic Control Education Based on Open Hardware.
TL;DR: To provide a multidisciplinary low cost open platform for the automatic control introductory courses, an example of open-source educational platform easily programmable composed by a differential mobile robot with a robotic arm manipulator is presented.
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A novel approach in real-time vehicle detection and tracking using Raspberry Pi
TL;DR: A video image processing algorithm which detects, tracks and finds the number of vehicles on a road, which converts RGB video frame to HSV color domain, which helps in differentiating the colors of the vehicles more absolutely.
Journal ArticleDOI
Robotic Arm with Brain – Computer Interfacing
TL;DR: This paper is entirely based on Brain-Computer Interface and suggests a low cost system implementation that can even serve as a reliable substitute for the existing technologies of prosthesis like BIONICS.