Programming Robots With Ros
I 10 migliori prodotti di marzo 2025
Ultimo aggiornamento:
27 marzo 2025
O'Reilly Media
Programming Robots with ROS
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Chapman and Hall/CRC
A Concise Introduction to Robot Programming with ROS2
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Packt Publishing
Learning ROS for Robotics Programming: Your One-stop Guide to the Robot Operating System
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Packt Publishing
ROS Programming: Building Powerful Robots: Design, build and simulate complex robots using the Robot Operating System (English Edition)
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Chapman and Hall/CRC
A Concise Introduction to Robot Programming with ROS 2 (English Edition)
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Chapman and Hall/CRC
A Systematic Approach to Learning Robot Programming with ROS (English Edition)
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Yahboom
Yahboom Raspberry Pi5 AI Quadruped Bionic Robot Dog Electronic Toy ROS Python Programming Face Visual Recognition Voice Control Lidar Map Navigation (S2 with raspberry Pi)
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【AI Accompanying Technology Dog】DOGZILLA uses Raspberry Pi as the main controller and STM32 as the co-processor to drive the steering gear. It is equipped with a camera module and is developed based on OpenCV to realize artificial intelligence functions such as face recognition, target tracking, QR code and color recognition. If you dig deeper, you can even discard the Raspberry Pi and replace it with other development boards that support serial communication to achieve more exploration.
【Quadruped 12-DOF High-Level】Each leg of the robot dog is controlled by 3 bus servos, which can be compared to 3 joints of the elbow, shoulder and hip joint to accurate reestore the action details. The 12 movable joints are based on reverse kinematics, enabling them to move forward, backward, left and right and support omnidirerectional motion and motion superposition in multiple directions, enabling six-dimensional attitude control, Stable posture, various movement gait.
【Assembled Electronic Kit】Nach der Installation der Raspberry Pi out der Box, können Sie die Fernbedienung verwenden, um diesen vormontierten Roboter mit eingebauten Aktivitäten zu spielen. With its one button design and exclusive app, you can easily interact with DOGZILLA instantly interactive. Robot hat solide Struktur, Metall-Aluminium-Alloy-Body, 12 High-Precision Steering Gears for Joints, Quadruped ABS wear-resistant feet and silicone foot rods.
【Born for programming and maker education】 Yahboom robot dag is developed for young people to learn roboters programming, support computers to program roboters dogs in python, and develop AI applications. Designed for education, research, algorithm validation and entertainment. Mit verschiedenen Programmierungen, kann es mehr Funktionen als Sie Abbildung haben. Unbegrenzte Programmiermöglichkeiten helfen Ihnen Explore, Learn und haben Spaß.
【Training Methode】If this is a pet robot dog, you can use the wireless handle to instruct it to run or sit down, or you can use the APP to see what the robot dog sees, get the dog's first perspective. Check if the lights in the next room are off? Or change the existing program through the computer and add more personal customized functions. Control it according to your needs, this is an obedient mechanical dog.
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Packt Publishing
Mastering ROS for Robotics Programming: Design, Build, and Simulate Comples Robots Using Robot Operating System and Master Its Out-of-the-box Functionalities
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Packt Publishing
Hands-On ROS for Robotics Programming
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Yahboom
Yahboom AI Python Programming ROS Adult Robot Kit Autonomous Driving Training Ackerman Structure Learning Teaching Research Model Training Map Optional (Autopilot Ver Without Nano)
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Complete the code programming of the R2L robot based on the Robot Operating System (ROS), demonstrating the latest autonomous driving and AI recognition technology. Multiple controls, like all premium kits, this robotics kit comes with a remote control handle and a user interface that can be accessed from a mobile device or PC. Enjoy being in control.
Supports Jetson NANO 4GB SUB developed based on ROS and Ubuntu operating systems. The robot must be controlled by the development board, otherwise it cannot be started. We apply 2MP high-definition cameras and combine them with some recognition algorithms to achieve model training, autonomous driving, object recognition, label tracking and other functions. Like other Yahboom robot cars, R2L supports APP/handle expression control.
The R2L robot adopts the Ackerman chassis structure design. While using the structural advantages to reduce power consumption, the car turns more smoothly, faster and more accurately, thus improving the competition efficiency. This is a cool thing in model game competitions.
The self-driving version comes with a 3.2 x 2.8m (125 x 110 in) curved driving map. The R2L robot kit has trained a model for this map, and other configurations are the same as the standard version. consistent.
Keep in mind that programmable kits require you to have at least some basic understanding of coding and setting parameters, so you'll have to learn a lesson or two about coding and programming languages in order to use the product. We provide 80 courses with Chinese and English subtitles to help users quickly get started with model training of autonomous driving and ROS operating systems.
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programming robots
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