Robohub.org
 

Learning robotics using Python


by
09 June 2015



share this:

final_cover-01-thumb-640x380-1176

A new book, Learning Robotics using Python, takes a different approach to teaching the Robotics Operating System (ROS). Written by Lentin Joseph, founder and CEO of Indian robotics startup Qbotics Labs, it enables you to learn by building an interactive, autonomous, mobile robot, and is the result of his research while designing the company’s autonomous robot prototype, Chefbot. It features Artificial Intelligence, vision capabilities, speech recognition and synthesis.

Chefbot is designed primarily to serve food in hotels and restaurants and Qbotics plans to release the robot as open hardware to develop a community focussed on improving the design. The company also provides assistance for clients autonomous machines.

Learning Robotics Using Python uses ROS Indigo, a stable version of ROS, installed on the latest Ubuntu L.T.S 14.04.02. The code is also compatible with ROS Jade. After a basic introduction, it looks at the mechanical design of robots using open source tools. ROS is introduced following the building of 2D and 3D models, and Chefbot is simulated using ROS and Gazebo. The Chefbot simulation is adapted from a Turtlebot simulator.

With a successful simulation in Gazebo, the book turns to the hardware element, the selection of the electronic components needed to build the robot. The sensor and actuator interfacing is explored and interfacing embedded boards to ROS using Python.

The Chefbot has (Kinect) sensors, ultrasonics and sound sensors, as well as motor encoders. The book looks at the detailed interfacing of each sensor with ROS and Kinect, and how to work with depth to pointcloud package.

In addition, it examines speech recognition and synthesis in robots, using ROS and Python, and implementing a version of Artificial Intelligence using ROS and Python.

After all this interfacing, the final integration is possible, both in hardware and software, resulting in the complete robot.

It needs a GUI controller, built using PyQt. Debugging is enabled via ROS rqt. Once the GUI has been constructed, it goes into the calibration and testing of the robot before its deployment.

Learning robotics using Python is available on the PACKT website and also Amazon.com.


If you liked this article, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , , ,


Lentin Joseph is the founder and CEO of Qbotics Labs.
Lentin Joseph is the founder and CEO of Qbotics Labs.





Related posts :



#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

  15 Sep 2025
Jaeho argues that the AI conference peer review crisis demands author feedback and reviewer rewards.

Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.

Robots to the rescue: miniature robots offer new hope for search and rescue operations

  09 Sep 2025
Small two-wheeled robots, equipped with high-tech sensors, will help to find survivors faster in the aftermath of disasters.

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

Researchers are teaching robots to walk on Mars from the sand of New Mexico

  02 Sep 2025
Researchers are closer to equipping a dog-like robot to conduct science on the surface of Mars

Engineering fantasy into reality

  26 Aug 2025
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.

RoboCup@Work League: Interview with Christoph Steup

and   22 Aug 2025
Find out more about the RoboCup League focussed on industrial production systems.

Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

and   21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence