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Original title: Learning Robotics using Python
Translation: Radosław Meryk
ISBN: 978-83-283-2345-2
Release date: 2016-05-13
Format: 170x230
Robots are entering various areas of our lives, so robotics are becoming more and more important. Learning about robots, their building and programming is a rather complex but fascinating field. Its mastery requires effort, but to design an easy-to-use interface, all you need to do is use several utility programs and the Python language. In this way, you can design the behavior of the robot, determine how it will go to the target, respond to the signals of the surrounding world, or make him wait for instructions.
With this book you can learn how to use the Python language and several popular frameworks used in robotics, such as the ROS system , to build autonomous mobile robots. Other programming frameworks are discussed, including those for Python. To simultaneously demonstrate the practical use of the material presented, a step-by-step process of building a robot-serving ChefBot is discussed, which, for example, can serve meals at home, in a hotel or restaurant.
This book presents:
See how fascinating robot programming is!
Lentin Joseph - electronics engineer, robotics enthusiast and expert in the field of embedded systems. Particularly interested in robotics, image processing and the use of Python in robot programming. He is also an expert on many robot software platforms, such as the ROS (Robot Operating system), V-REP and Actin. He is fluent in image processing libraries, including OpenCV, OpenNI and PCL. He also specializes in the field of 3D design and programming of embedded systems on Arduino and Launchpad Stellaris platforms. He is the owner of Qbotics Labs dealing in the development of robotics and its applications in many areas.
Evaluation kit with Zynq Ultrascale+ MPSoC, integrating the ARM Cortex-A53 platform, Cortex-R5 real-time processor, Mali-400 MP2 graphics processor and FinnFET+ programmable logic. Provides the SYZYGY interface connector. Digilent Genesys ZU-3EG (410-383-3EG)
No product available!
GPS module with GNSS L76X receiver. It can receive data from GPS, BDS and QZSS systems. It uses the UART interface and offers an accuracy of up to 2.5 m. Waveshare L76X GPS HAT
No product available!
Module with three optical inspection sensors (spectrophotometers) from the AS7265x series. The module consists of three sensors; AS72651, AS72652 and AS72653 which can detect wavelengths from 410nm (UV) to 940nm (IR). SparkFun SEN-15050
No product available!
The 1.5V AAA alkaline battery allows the use of small portable electrical devices without the need for mains power. Set contains 12 pieces. GP 24A-PB(8+4)
No product available!
High purity 100% silicone oil spray protection and lubrication for versatile use. MICRO CHIP ELEKTRONIC ART. 192
No product available!
Black and silver aluminum case designed for Raspberry Pi 4B. It acts as a heat sink and ensures proper heat dissipation from the processor. FLIRC 102476
No product available!
Evaluation kit with the Zynq-7000 APSoC chip integrating the ARM Cortex-A9 based processor with the Artix-7 FPGA chip. Provides two SYZYGY interface connectors enabling cooperation with fast modular systems. The set works under the control of Linux. Digilent Eclypse Z7 (410-393)
No product available!
Dual-channel ADC converter compatible with the SYZYGY standard. The module can simultaneously obtain two 25V signals with 14-bit resolution and sampling frequency up to 100MS/s. The module is compatible with Eclypse Z7 and Genesys ZU evaluation kits. Digilent Zmod Scope 1410-105 (410-396)
No product available!
Dual-channel DAC converter compatible with the SYZYGY standard. The module can simultaneously generate two 5V signals with 14-bit resolution and sampling frequency up to 100MS/s. The module is compatible with Eclypse Z7 and Genesys ZU evaluation kits. Digilent Zmod AWG 1411 410-397
No product available!
Lens for ArduCAM cameras with variable M12 lens designed for Raspberry Pi. It is characterized by a 8mm focal length, 40/45 ° view angle and 1/3 format. ArduCAM LS-8020
No product available!
BeagleBone AI is a minicomputer with an AM5729 processor, it has 1 GB of DDR3L RAM memory. It was created to explore issues related to artificial intelligence. BBBONE-AI
No product available!
NanoPi M4V2 is a FriendlyELEC single board computer. It uses LPDDR4 RAM memory and adds among others: POWER and RECOVERY micro switches and a microphone input.
No product available!
NanoPI NEO is a single-board chip from FriendlyELEC with a RAM of 256 MB, successfully competing with the systems created by the giant in this field Raspberry Pi. It is 25% smaller and cheaper than the Raspberry Pi Zero board with similar capabilities
No product available!
Minicomputer with Allwinner H3 quad-core chip (ARM Cortex-A7). It is equipped with 512 MB RAM memory, an Ethernet port and 3 USB 2.0 interfaces. NanoPi NEO-LTS 512MB
No product available!
HAT for powering over Ethernet (PoE) for Raspberry Pi. It allows you to use the PoE interface to power the minicomputer via an Ethernet cable
No product available!
HAT for powering over Ethernet (PoE) for Raspberry Pi. It allows you to use the PoE interface to power the minicomputer via an Ethernet cable
No product available!
Lentin Joseph