Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python

A comprehensive guide to designing, simulating, programming, and prototyping autonomous mobile robots using ROS, OpenCV, PCL, and Python. Authored by Lentin Joseph and reviewed by Ruixiang Du, it covers fundamental concepts like differential drive robot kinematics, URDF modeling, and Gazebo simulation. The text also provides practical information on selecting and interfacing hardware components like motors, sensors (ultrasonic, IR, IMUs, vision sensors), and control boards (Tiva C LaunchPad, Intel NUC). Furthermore, it teaches software integration through ROS Python drivers and GUI development using Qt and Python, culminating in autonomous navigation capabilities for the designed "Chefbot."

You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary

Get the Book now from Amazon:
https://www.amazon.com/-/en/Learning-Robotics-using-Python-autonomous/dp/1788623312?&linkCode=ll1&tag=cvthunderx-20&linkId=d676017a8308b1dcf669abf00f061a6b&language=en_US&ref_=as_li_ss_tl

Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy