Ros Robotics Projects
I 10 migliori prodotti di ottobre 2025
Ultimo aggiornamento:
7 ottobre 2025
Packt Publishing
ROS Robotics Projects: Build and control robots powered by the Robot Operating System, machine learning, and virtual reality (English Edition)
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Packt Publishing
ROS Robotics Projects: Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System (English Edition)
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#2
Independently published
ROS 2 for Robotics Engineers: Practical Projects for Mobile Robots, Drones, Arms, Manipulators, and Sensor Integration
Spedizione gratuita
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#3
Independently published
Python Robotics Projects: Step-by-Step Guide to Building 10 Functional Robots Using ROS
Spedizione gratuita
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#4
Packt Publishing
BeagleBone Robotic Projects: Create complex and exciting robotic projects with the BeagleBone Blue (English Edition)
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#5
Packt Publishing
Python Robotics Projects: Build smart and collaborative robots using Python (English Edition)
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#6
The Robotic Mindset: A Guide to Automation Project Management (English Edition)
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#7
Yahboom
Yahboom Raspberry Pi 5 Robot for AI Research Adults Python Programming ROS 6-DOF Robotic Arm Aluminum Alloy Chassis Smart Robot Kit 3D Mapping Project Research for College Students with Pi5(16G)
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【Flagship configuration】ORBBEC Astra Pro depth camera, high-definition touch-adjustable 7-inch screen, 6-DOF robotic arm with camera AI camera, YDLIDAR 4ROS TOF ranging lidar, 80mm large-size mecanum wheel, 520 Hall encoding Geared motor, 9600MAH lithium battery pack, durable aluminum alloy body structure. NOTE: Contain the Jetson Nano development board is a Jetson Nano SUB, not official board.
【Exploration Function and Gameplay】Voice-controlled robot driving can be combined with mechanical arms for voice-controlled grabbing and other actions. It supports ORBSLAM2, Rtab-Map 3D, RRT exploration, gmapping and other algorithms for mapping, and navigation methods such as voice, lidar, Rtab-Map 3D and so on. , conventional obstacle avoidance, following, recognition, skeleton detection and other functions can be quickly realized.
【Rosmaster X3 Plus has 4 versions】The difference lies in the main control board, namely Raspberry Pi 5 16GB, Jetson nano, Jetson Orin Nano SUPER/NX SUPER. Please choose according to your needs. The main body of the robot car has been assembled, and users can start programming and operating the robot as long as they complete the installation of accessories.
【Based on ROS operating system】Through Python programming, it can learn robot arm Movelt simulation, drawing and navigation, STM32 underlying development, MaeiaPipe development, path planning and various algorithms. Yahboom provides open source materials, including video courses (English and Chinese) from basic to advanced.
【Cross-platform interconnected control】Dual APP control, real-life first-person controller, Jupyter Lab programming control, and ROS system control.
1.259,00 € SU AMAZON
Yahboom
Yahboom Raspberry Pi Robotic Kit for Adults ROS Robot Arm Lidar Mapping Navigation Python C++ Programmable AI Kit Tracked Tank Chassis University Electronics Competition Project(Without Pi 4B Ver.V)
Spedizione gratuita
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【Based on ROS Programmable Intelligent Educational Robot Kit】 Transbot uses Rviz, TF, Qt, Navigation and other tools, combined with lidar and high frame rate cameras to realize 2D mapping navigation, path planning and other functions. learn ROS from scratch and build ROS robotic car.（★Note: check the version you ordered carefully，Transbot has 25 versions in total, and different versions contain different accessories. Please pay attention to whether the version contains a development board.）
【Lidar Scanning 2D Mapping Navigation】Crawler robot kit is equipped with Silan A1 lidar, which can complete indoor 2D plane scanning and mapping, single point and multi-point navigation, and realize obstacle avoidance and following. (★Note: ROS robot APP doesn't support iOS, you can create map navigation on the PC）
【AI Function Combination】The robot integrates a wealth of AI functions, such as fixed-point navigation, automatic driving, color recognition and tracking, AR tag recognition and reality enhancement, visual image beautification, face detection, lidar mapping navigation and obstacle avoidance, you will get the open source code provided by Yahboom to realize more possibilities.
【Cross-platform Interconnection Control】Robot can be programmed or controlled in 4 ways, ① Mobile remote control APP integrated with a variety of AI functions, ② handle control that can experience the FPV real-time visual effects, ③ JupyterLab online programming and ④ professional robot operating system control, a variety of control methods to meet different occasions,in-depth experience of the fun of controlling robots (★Note: Yahboom App supports iOS&Android, ROS robot APP only for Android)
【Professional Hardware & Courses】Transbot has highly equipped aluminum alloy frame, anti jam bearing, SLAM lidar, coding gear motor, metal servo,Yaboom professional robot expansion board, HD camera with electric rotating pan tilt (Optional), which makes the robot have strong ability to cross obstacles. Other, Yahboom provides 64 video tutorials and detailed documentation. As long as you love ROS, it is robot that can 't be missed and professional gift that makers and programmers dream of.
949,00 € SU AMAZON
Yahboom
Yahboom DOFBOT-SE Robotic Arm Virtual Machine Open Source Programming AI Visual Recognition 6DOF Robotic Arm Moveit Python Desktop Project Research ROS Robot
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Desktop Robot Arm Controlled by a Virtual Machine: The Dofbot-SE robot arm uses a virtual machine as its main controller and does not rely on the expensive Raspberry Pi Jetson Nano. It also implements complex grasping tasks such as custom model training, garbage classification, and gesture recognition. act
6DOF intelligent serial bus servo robot arm: The robot body of the robot arm contains 6 bus servos that support readback of position and status information. The servo has built-in metal gears, high-precision potentiometers, anti-reverse connection interfaces, and can be cascaded. control.
Diversity of control methods: The robot kit can be controlled by the standard wireless handle, mobile APP and computer mouse included in the kit. Multiple operation methods can be used for various projects and learning, providing more creative possibilities and fun.
Creative Function Development: The camera and the robotic arm are combined into one. The camera is responsible for the AI recognition work, and the robotic arm is responsible for the command output operations. It realizes an inverse kinematics algorithm by controlling each joint, color recognition, tracking and capture, gestures and faces.
High-quality structure and high-quality after-sales team: The robotic arm uses high-quality aluminum alloy and industrial-grade bearings, which can be used and learned endlessly. Yahboom develops Python source code for Dofbot SE, with 151 courses, from basic to advanced learning, and technical support to protect you.
279,00 € (279,00 € / 1) SU AMAZON
ros robotics
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