I have a Raspberry Pi 3 running ROS Kinetic and I use it to control an autonomous robot. The plan is to improve my robot by adding computer vision capabilities. The Raspberry Pi has resources to build intelligent robots and the community helps me more in fixing a lot of problems. These are the reasons …
How To Setup ROS Kinetic To Communicate Between Raspberry Pi 3 and a remote Linux PC Read More »
1. The Objective The main objective is to design a medium size humanoid robot (around 90 cm) and create a niche market which is considering humanoid robot like an art. The robot will be able to walk like a human, thanks to the innovative design of mechanical structure and associated algorithms, perform task and, very …
In the modern world, humans use the Internet for almost anything like shopping, socialization, news, or control a robot from anywhere in the world. Controlling a robot using a web browser and the Arduino board without an Ethernet shield is an easy task and is the subject of this article. Any robot can be designed …
Controlling Arduino Board With PHP Web-Based Script – Tutorials Read More »
Arduino is a great development board for reading data from various sensors and controlling the robot’s DC motors. Raspberry Pi is good at running ROS on Linux. So, we can benefit from both systems to build smart robots. The easiest way is to connect these boards via USB cable and make them communicate through ROS …
How to use rosserial with two Arduinos and Raspberry Pi Read More »
OpenCV is usually the first option to consider when we talk about computer vision. However, this open-source library is focused on real-time image processing and definitely extremely hard to master. For instance, the applications are not always intuitive, and it’s not always clear when to use what API and how to use the algorithms effectively. …
The robots recognize the environment or perceive objects in its path using several technologies such as laser and sonar sensors, or the traditional vision system represented by digital camera sensors. These little devices that provide images for robotic applications are the subject of this article, where you can find the most used vision camera sensors …
In this tutorial, you will learn how to use the rosserial communication, three HC-SR04 sensors, an Arduino and Raspberry Pi 4 to publish the ranges of the sensors.
Robotic vision continues to be treated including different methods for processing, analyzing, and understanding. All these methods produce information that is translated into decisions for robots. From start to capture images and to the final decision of the robot, a wide range of technologies and algorithms are used like a committee of filtering and decisions. …
Overview of Robotic Vision – Object Tracking and Image Processing Software Read More »
In this tutorial, we will learn how to build a 4WD robot chassis using aluminum profiles and 3D printed parts. The chassis is compatible with Arduino and Raspberry Pi.
This is a simple autonomous robot able to detect and avoid obstacles. I use a cheap 4WD robot platform (You can use any of these platforms), an Arduino UNO($18.59 on Amazon), and a cheap HC-SR04 sensor (2 pieces at $2.83 on Amazon). The robot is programmed to drive forward till an obstacle is detected. Then …
I Built This Autonomous Robot to Detect and Avoid Obstacles. The Code is Included. Read More »
