Learning Robotics using Python: Bring robotics projects to life with Python! Discover how to harness everything from Blender to ROS and OpenCV with one of our most popular robotics books. - Brossura

Lentin Joseph

Brossura

ISBN 10: 1783287535 ISBN 13: 9781783287536

Casa editrice: Packt Publishing, 2015

Riassunto

Design, simulate, program, and prototype an interactive autonomous mobile robot from scratch with the help of Python, ROS, and Open-CV!

Key Features

• Design, simulate, build and program an interactive autonomous mobile robot
• Program Robot Operating System using Python
• Get a grip on the hands-on guide to robotics for learning various robotics concepts and build an advanced robot from scratch

Book Description

Learning about robotics will become an increasingly essential skill as it becomes a ubiquitous part of life. Even though robotics is a complex subject, several other tools along with Python can help you design a project to create an easy-to-use interface.

Learning Robotics Using Python is an essential guide for creating an autonomous mobile robot using popular robotic software frameworks such as ROS using Python. It also discusses various robot software frameworks and how to go about coding the robot using Python and its framework. It concludes with creating a GUI-based application to control the robot using buttons and slides.

By the end of this tutorial, you'll have a clear idea of how to integrate and assemble all things into a robot and how to bundle the software package.

What You Will Learn

• Understand the core concepts and terminologies of robotics
• Create 2D and 3D drawings of robots using freeware such as LibreCAD and Blender
• Simulate your robot using ROS and Gazebo
• Build robot hardware from the requirements
• Explore a diverse range of actuators and its interfacing
• Interface various robotic sensors to robots
• Set up and program OpenCV, OpenNI, and PCL to process 2D/3D visual data
• Learn speech processing and synthesis using Python
• Apply artificial intelligence to robots using Python
• Build a robot control GUI using Qt and Python
• Calibration and testing of robot

Table of Contents

1. Introduction to Robotics
2. Mechanical Design of a Service Robot
3. Working with Robot Simulation Using ROS and Gazebo
4. Designing ChefBot Hardware
5. Working with Robotic Actuators and Wheel Encoders
6. Working with Robotic Sensors
7. Programming Vision Sensors Using Python and ROS
8. Working with Speech Recognition and Synthesis Using Python and ROS
9. Applying Artifi cial Intelligence to ChefBot Using Python
10. Integration of ChefBot Hardware and Interfacing it into ROS, Using Python
11. Designing a GUI for a Robot Using Qt and Python
12. The Calibration and Testing of ChefBot

Su questo libro

Informazioni sull'autore

Lentin Joseph

Lentin Joseph is an electronics engineer, robotics enthusiast, machine vision expert, embedded programmer, and the founder and CEO of Qbotics Labs in India. He got his bachelor's degree in electronics and communication engineering at the Federal Institute of Science and Technology (FISAT), Kerala. In his final year engineering project, he created a social robot, which can interact with people. The project was a huge success and got mentioned in visual and print media. The main feature of this robot was that it could communicate with people and reply intelligently. It also has some image-processing capabilities, such as face, motion, and color detection. The entire project was implemented using the Python programming language. His interest in robotics, image processing, and Python began this project. After graduation, he worked at a start-up company based on robotics and image processing for 3 years. In the meantime, he learned famous robotic software platforms?such as Robot Operating system (ROS), V-REP, and Actin (a robotic simulation tool)?and image processing libraries, such as OpenCV, OpenNI, and PCL. He also knows about robot 3D designing, embedded programming on Arduino, and Stellaris Launchpad. After 3 years of work experience, he started a new company called Qbotics Labs, which is mainly focused on research to build great products in domains such as wearable technology, robotics, machine vision, green technology, and online education. He maintains a personal website (lentinjoseph) and a technology blog called technolabsz (technolabsz). He publishes his works on his tech blog. He was a speaker at PyCon2013 India, and he spoke on the topic of learning robotics using Python.

Dalla quarta di copertina

Bring robotics projects to life with Python! Discover how to harness everything from Blender to ROS and OpenCV with one of our most popular robotics books. Key Features Design, simulate, build and program an interactive autonomous mobile robot Program Robot Operating System using Python Get a grip on the hands-on guide to robotics for learning various robotics concepts and build an advanced robot from scratch Book Description Learning about robotics will become an increasingly essential skill as it becomes a ubiquitous part of life. Even though robotics is a complex subject, several other tools along with Python can help you design a project to create an easy-to-use interface. Learning Robotics Using Python is an essential guide for creating an autonomous mobile robot using popular robotic software frameworks such as ROS using Python. It also discusses various robot software frameworks and how to go about coding the robot using Python and its framework. It concludes with creating a GUI-based application to control the robot using buttons and slides. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble all things into a robot and how to bundle the software package. What you will learn Understand the core concepts and terminologies of robotics Create 2D and 3D drawings of robots using freeware such as LibreCAD and Blender Simulate your robot using ROS and Gazebo Build robot hardware from the requirements Explore a diverse range of actuators and its interfacing Interface various robotic sensors to robots Set up and program OpenCV, OpenNI, and PCL to process 2D/3D visual data Learn speech processing and synthesis using Python Apply artificial intelligence to robots using Python Build a robot control GUI using Qt and Python Calibration and testing of robot

Dettagli dell'edizione

• Editore: Packt Publishing
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 1783287535
• ISBN 13: 9781783287536
• Rilegatura: Copertina flessibile
• Numero di pagine: 330
• Contatto del produttore: non disponibile
• Persona responsabile: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Germania