arduino robot
207990713
An educational Arduino robot for visual Deep Learning experiments
Deep Learning methods are gaining popularity with both academy and industry. We are in dire need of student affordable educational platform that can support doing Deep Learning experiments. In this paper, we present a mobile robot platform based on Arduino for educational experiments in visual Deep Learning. The educational robot uses Arduino open source hardware and supports various programming interfaces, including C/C+ Python and Matlab. The robot uses an attached android mobile phone to capture images and video streams. Visual Deep Learning models such as DNNs and CNNs can be examined and practiced with the robot.
International Journal of Intelligent Robotics and Applications
He Hu
86557168
Bimbingan Teknis Pemrograman Arduino Robot Soccer Untuk Siswa SMP IT dan SMP Negeri 10 Magelang
Perkembangan teknologi saat ini berkembang dengan pesat, salah satunya yaitu teknologi robotika. Teknologi robotika saat ini sangat menarik untuk dipelajari oleh generasi muda khususnya pelajar. Melalui berbagai kegiatan edukatif, pelajar mengimplementasikan sains secara mudah, murah dan menyenangkan. Salah satu kegiatan edukatif dalam memperkenalkan robotika kepada pelajar adalah bimbingan teknik pemrograman Arduino Nano Robot Soccer. Peserta pelatihan adalah siswa SMP IT dan SMP Negeri 10 Magelang. Pelatihan pemrograman ini menggunakan pemrograman Arduino sebagai media pemrograman pada robot soccer. Metode pelaksanaan dalam bimbingan ini adalah metode kolaboratif dari metode ceramah yang disampaikan oleh narasumber terkait dengan materi pemrograman arduino nano dan metode praktik pemrograman arduino yang diimplementasikan oleh siswa terhadap robot soccer yang mereka buat. Kegiatan bimbingan teknis ini berjalan dengan lancar, siswa dan guru pendamping antusias untuk mendengarkan penjelasan tentang Pemrograman Arduino Robot Soccer. Dari hasil pelatihan, siswa sudah dapat memahami tentang pemrograman arduino dan berhasil memprogam robot soccer beroda tersebut dengan pemrograman arduino nano.
Prita Haryani
196056852
Mind Wave Controlled Robot: An Arduino Robot Simulating the Wheelchair for Paralyzed Patients
This project attempts to implement an Arduino robot to simulate a brainwave controlled wheelchair for paralyzed patients with an improved controlling method. The robot should be able to move freely in anywhere under the control of the user and it is not required to predefine any map or path. An accurate and natural controlling method is provided, and the user can stop the robot any time immediately to avoid risks or danger. This project is using a low cost and a brainwave reading headset which has only a single lead electrode (Neurosky mind wave headset) to collect the EEG signal. BCI will be developed by sending the EEG signal to the Arduino Mega and control the movement of the robot. This project used the eye blinking as the robot controlling method as the eye blinking will cause a significant pulse in the EEG signal. By using the neural network to classify the blinking signal and the noise, the user can send the command to control the robot by blinking twice in a short period of time. The robot will be evaluated by driving in different places to test whether it can follow the expected path, avoid the obstacles, and stop in a specific position.
Chi Hang Cheng Shuai Li Seifedine Kadry
115203708
An Educational Arduino Robot for Visual Deep Learning Experiments
Deep Learning methods are gaining popular in both academy and industry. We are in dire need of student affordable educational platform that can support doing Deep Learning experiments. In this paper, we present a mobile robot platform based on Arduino for educational experiments in visual Deep Learning. The educational robot uses Arduino open source hardware and supports various programming interfaces including C/C+ Python and Matlab. The robot uses an attached android mobile phone to capture image and video streams. Visual Deep Learning models such as DNNs and CNNs can be examined and practiced with the robot.
2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC FSKD)
He Hu
64880291
Improving Navigation and Mapping with Arduino robot
Jorund Ovsttun Amsen
45367235
Controlling an arduino robot using Brain Computer Interface
The ability to acquire Electroencephalogram (EEG) signals from the brain has led to the development of Brain Computer Interfaces (BCI) which capture signals generated by the physical processes in the brain and use them to control external devices. In this paper, we establish an application to control a robot on the Arduino platform by the use of a BCI system, which does not require training for individual users. We present the design and development of a BCI processing pipeline built on open source platforms using the Emotiv EEG headset. Our system achieves around 96% accuracy using computationally inexpensive feature extraction and classification techniques, namely, band power and Support Vector Machines (SVM) We are also able to guide a robot's movement efficiently using multiple intents.
Proceedings of 3rd International Conference on Reliability, Infocom Technologies and Optimization
Parth Gargava Karan Sindwani Sumit Soman
107137031
Make a mind controlled Arduino robot
Think about it and it moves. Think harder, the robot moves faster. But don't worry; as a robot it knows to avoid the black border so it doesn't fall off the table. "Make a Mind Controlled Arduino Robot" shows you how to build your own. You learn to measure attention level with a NeuroSky headband and send this information into Arduino. You will also build a line avoiding system into the bot. And, of course, you will build the chassis of your robot from scratch.
Tero Karvinen Kimmo Karvinen
65256850
Arduino robot vezerlese androidos eszkozzel
Tamas Kecso
22468592
Make a Mind Controlled Arduino Robot Use Your Brain as a Remote
Build a robot that responds to electrical activity in your brain it's easy and fun. If you're familiar with Arduino and have basic mechanical building skills, this book will show you how to construct a robot that plays sounds, blinks lights, and reacts to signals from an affordable electroencephalography (EEG) headband. Concentrate and the robot will move. Focus more and it will go faster. Let your mind wander and the robot will slow down. The level of attention controls the speed of the robot. Steering (left and right) is controlled with automatic line avoidance.You'll find complete instructions for building a simple robot chassis with servos, wheels, sensors, LEDs, and a speaker. You also get the code to program the Arduino microcontroller to receive wireless signals from the EEG. Your robot will astound anyone who wears the EEG headband. This book will help you:Connect an inexpensive EEG device to Arduino Build a robot platform on wheels Calculate a percentage value from a potentiometer reading Mix colors with an RGB LED Play tones with a piezo speaker Write a program that makes the robot avoid boundaries Create simple movement routines
Tero Karvinen Kimmo Karvinen
208233518
Autonomous Wheelchair Navigation Prototype with an Arduino Robot
Navigating through a large and complicated hospital can be difficult to most people, especially to those elderly and/or disabled patients. To help patients more efficiently while reducing the manpower, in this research, we have proposed and developed an Autonomous Wheelchair Navigation Prototype with an Arduino robot for hospital navigation. With a user friend interface, the proposed prototype is able to determine the optimal path to find locations accurately and can successfully control robots' movement during the navigation. Thus, it can remove the need to learn the ins and outs of hospitals and improve the quality of life for its users. Our prototype for this system has shown good preliminary results and is looking towards a bright future.
Anna Shafer Michael Turney Francisco Escolano Ruiz Justin Mabon Michael Nooner Yu Sun Vamsi Paruchuri