Build clever, collaborative, and powerful automation systems with the Raspberry Pi and Python.
Key FeaturesThis Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python.
It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment.
By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python.
This Learning Path is specially designed for Python developers who want to take their skills to the next level by creating robots that can enhance people's lives. Familiarity with Python and electronics will aid understanding the concepts in this Learning Path.
Show moreBuild clever, collaborative, and powerful automation systems with the Raspberry Pi and Python.
Key FeaturesThis Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python.
It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment.
By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python.
This Learning Path is specially designed for Python developers who want to take their skills to the next level by creating robots that can enhance people's lives. Familiarity with Python and electronics will aid understanding the concepts in this Learning Path.
Show moreTable of Contents
Tim Cox works as a software engineer and is passionate about
programming. He holds a bachelor's degree in electronics and
electrical engineering and has a rich career in developing embedded
software for a range of industries. To support the vision behind
the Raspberry Pi and to encourage a new generation of engineers,
Tim co-founded the MagPi magazine (the official magazine for the
Raspberry Pi). He also produces electronic kits through his site
PiHardware.
Dr. Steven Lawrence Fernandes holds a bachelor's degree in
electronics and communication engineering, a master's degree in
microelectronics, and a Ph.D. in computer vision and machine
learning. His Ph.D work "Match composite sketch with drone images"
has received patent notification (Patent Application Number:
2983/CHE/2015). has post the doctoral research experience working
in deep learning at the University of Alabama at Birmingham, USA.
He received the prestigious US award from the Society for Design
and Process Science for his outstanding service contributions in
2017 and Young Scientist Award by Vision Group on Science and
Technology in 2014. He has also received a research grant from the
Institution of Engineers.
Sai Yamanoor is an embedded systems engineer working for a private
startup school in the San Francisco Bay Area, where he builds
devices that help students achieve their full potential. He
completed his undergraduate work in mechatronics engineering from
Sri Krishna College of Engineering and Technology, Coimbatore,
India and his graduate studies in mechanical engineering at
Carnegie Mellon University, Pittsburgh PA. His interests, deeply
rooted in DIY and open software and hardware cultures, include
developing gadgets and apps that improve the quality of life,
Internet of Things, crowdfunding, education, and new technologies.
In his spare time, he plays with various devices and architectures,
such as the Raspberry Pi, Arduino, Galileo, Android devices and
others. Sai has earlier published a book titled Raspberry Pi
Mechatronics Projects.
Srihari Yamanoor is a mechanical engineer, working on medical
devices, sustainability, and robotics in the San Francisco Bay
Area. He completed his undergraduate studies in mechanical
engineering from PSG College of Technology, Coimbatore, India and
graduate studies in mechanical engineering at Stanford University.
He is certified in SolidWorks, simulation, sustainable design, PDM
as well as in quality and reliability engineering and auditing. His
has a wide range of interests, from DIY, crowdfunding, AI,
travelling, photography to gardening and ecology.
Prof. Diwakar Vaish is a robotics scientist and the inventor of
Manav, India's first indigenous humanoid robot. He has invented the
world's first mind-controlled wheelchair, brain cloning, and the
world's cheapest ventilator. He has also been a guest lecturer at
over 13 IITs and various other institutions. He is the founder of
A-SET Robotics, a leading robotics research company based in New
Delhi.
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