Lidar Jetson
Die 10 besten Produkte von Dezember 2025
Letzte Aktualisierung:
11. Dezember 2025
youyeetoo
Slamtec RPLIDAR A1 2D 360 Grad 12 Meter Scanradius LIDAR-Sensorscanner zur Vermeidung von Hindernissen und zur Navigation von Robotern
98
MAXIMALE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#1 GEWINNER
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[Große Reichweite & hohe Auflösung] Der RPLIDAR A1M8-R6 ist ein Lidar-Sensor mit 12 Metern Messradius. Eigenschaften: 360 Grad omnidirektionale Lidar-Entfernungsmessung. Misst Entfernungsdaten in mehr als 8000 mal/s. Konfigurierbare Scan-Rate von 2-10Hz.Plug and Play. Ideal für Roboternavigation und Lokalisierung.
[RPLidar A1M8 R&D Kit Versandliste]Beinhaltet 1 x RPLIDAR A1, 1 x USB-Adapter, 1 x USB-Kommunikationskabel, 1 x MX1.25 bis 2.54 Dupont Wire. USB-Adapter für den USB-Anschluss von Jetson nano und Raspberry Pi. Dupont-Kabel für GPIO auf Arduino oder 40PIN GPIO auf Jetson nano und Raspberry Pi.Dieses Kit hat alles.
[Einfach zu bedienen] Nur durch die Suche im Internet, gibt es Tonnen von Tutorials, um Sie auf, wie Sie die RPLIDAR A1M8 verwenden, um Hindernisvermeidung und Navigation für Roboter zu implementieren, und SLAM bauen Karten für Räume. Ob Sie lernen oder an einem Robotikprojekt arbeiten, das rplidar A1 Lidar ist eine ausgezeichnete Wahl.
[Abmessungen und Gewicht] Höhe:55mm Breite:96.8mm Gewicht:170g. Er lässt sich leicht in einen Staubsauger oder einen intelligenten Wagen integrieren.
【WIKI】 Sie finden das SDK und die Testsoftware hier: "wiki.youyeetoo.com/Lidar/A1M8".【Schnellstart-Tutorial】“forum.youyeetoo.com/t/how-to-start-a-rplidar-a1-a2-a3-s-serials/143”
109,99 € AUF AMAZON
WayPonDEV
WayPonDEV TOF Lidar Sensormodul 8M 4K Bereichsfrequenz für Jetson Nano/autonomer mobiler Roboter im Innen- und Außenbereich
97
BESTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#2
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Application field: Outdoor as well as Indoor; Based on 360-degree TOF (Time of Flight) Principle
Wide ranging range, from 0.15 centimeters to 8 meters,Safety Standard grade:class 1,Linux drive:yes
Strong anti-ambient light interference, configurable scanning frequency 5Hz, standard size:107.7*76.1mm*54.7mm, weight:184.4g
High repeatability and consistency: 1800Hz ranging frequency; Standard supply voltage: 5V
Quick Start-LDS01RR has complete drivers as well as complete SDK ,API and documentation. It's easy for users to get started quickly.
59,99 € AUF AMAZON
Yahboom
Yahboom ROS2 Smart Car,Raspberry Pi5-8GB Rosmaster M1 Multimodal AI Vision Large Model, SLAM Navigation Programming, Mecanum Wheels Robot(M1 Superior Without Pi5-8GB)
96
BESTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#3
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【Flagship Performance, Outperforming All】Offers four development board options: Raspberry Pi5, Jetson Nano B01, RDK X5, and Orin Nano 8GB SUPER. The RDK X5 and Orin Nano, with their powerful computing capabilities, can perfectly run visual autonomous driving and road network planning simultaneously, achieving frame rates of up to 22-25fps for a smooth experience.
【AI Large-Scale Model Fusion, AI Voice Interaction】Deeply integrates AI large-scale language models to achieve intelligent voice interaction. Integrates iFlytek Spark/OpenRouter. Pre-installed AI large-scale model fusion SLAM sandbox navigation eliminates the need for map reconstruction; experience autonomous driving right out of the box. (Map sold separately)
【Dual-Core Technology, Unlocking Autonomous Driving】Innovatively integrates two core technologies: visual autonomous driving (lane keeping + road sign recognition) based on powerful GPU computing power, and road network planning technology based on ROS 2. It can simulate real-world road driving, offering more professional gameplay and closer resemblance to industrial application scenarios.
【High-Performance Hardware Configuration】Utilizing a Mecanum wheel chassis for road sign and traffic light recognition, closely mimicking real-world driving and assisting users in developing autonomous driving technologies; equipped with a Nuwa-HP60C depth camera + TminiPlus Lidar/SLAM C1 Lidar, and a high-torque 520 Nm motor; a large-capacity battery provides 170% longer battery life, and includes a large-capacity TF card/SSD to meet multitasking needs.
【Rich Configuration and Professional Resources, From Beginner to Expert】Includes a full-stack AI large-scale model-specific course and detailed robot resources. Yahboom provides professional technical support, helping users easily get started and deeply master ROS and AI robot technologies, from development board large-scale models to robot applications.
399,99 € AUF AMAZON
Yahboom
Yahboom Raspberry Pi 5 8GB for AI Robot Car,Supports RVIZ Simulation ROS2,TOF Lidar,SLAM Mapping Navigation, Tracking and Obstacle Avoidance(A1-Sta-Without-Pi5)
44% Rabatt
92
TOP QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#4
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【AI Large Model Interaction & Embodied Intelligence】Rosmaster A1 supports dual-model dynamic reasoning, enhanced RAG search, and free conversation interruption. It recognizes the described scene and boasts superior environmental perception, reasoning, and intelligent execution capabilities, enabling natural, smooth, and context-aware human-computer interaction.
【Controller Options for Diverse Applications】Rosmaster A1 Ackerman robot supports 5 different development board configurations: Jetson Orin Nano Super 8GB, Raspberry-Pi 5 (8GB), and Jetson Nano B01 4GB, catering to needs from beginners to advanced developers. Recommended for Orin Nano Super Version, high-performance deep learning research and computation, supporting more complex AI models.
【High-performance hardware configuration】Adopts Ackerman steering chassis to realize road sign and traffic light recognition, close to actual driving, helping users develop autonomous driving technology; equipped with Nuwa-HP60C depth camera+TminiPlus lidar/SLAM C1 Lidar, using high-torque 520 motor; large-capacity battery, battery life increased by 170%, and comes with a large-capacity TF card to meet multi-tasking needs.
【Relocalization SLAM Navigation】The upgraded SLAM with Relocalization system, high flexibility, requiring no environmental modifications. The map is stored in software, allowing for dynamic changes to tasks, paths, and destinations. It's ideal for complex, dynamic environments with frequent task changes. It also supports various AI applications such as SLAM mapping, path planning, object recognition, and target tracking.
【Open Source Ecosystem & Professional Support】Compatible with ROS2/open source code, it provides detailed tutorials and an SDK. Expandable with accessories like robotic arms and sensors, it's suitable for AI research, educational experiments, smart home control, and more. It's an excellent choice for STEM education and robotics programming enthusiasts.
239,00 € AUF AMAZON
Yahboom
Yahboom ROS2 Robot for Jetson Orin NX SUPER Lidar Mapping Navigation Depth Image 3D Analysis Mecanum Wheel Python Programming Learn Explore Robotic Kit (Ultimate Ver-with Orin NX SUPER(8GB))
84
SICHERE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#5
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【Ros Robot Learning Kit】The new upgrade is compatible with the RPi 5 robot kit and can provide stable power supply for the RPi 5. We provide 5 board versions of ROS X3, and there are multiple accessories versions.Choice of Orin Nano SUPER,Orin NX SUPER,Jetson Nano and RPi5. Different development boards have different performance issues.Please note: Due to different accessories and different image files, it is not recommended to upgrade to the pi5 version if you have purchased the Jetson version or Pi4B.
【AI Visual Explore】Equipped with ROS1/ROS2 operating system; ridar: can use voice to control multi-point navigation, supporting path planning and independent exploration and mapping;RTAB-3D mapping and navigation, and depth image data can be used to obtain real size information; AI visual depth gameplay: attitude detection, overall detection, and three-dimensional detection and recognition can be completed through MediaPipe development; YOLO model training, TensorRT.
【Multi-platform control】Compatible with a variety of remote control methods, including mobile phone remote control APP, game controller, ROS system, PC computer keyboard and Jupyter Lab control, etc. Suitable for multi-scene control use. *Mobile APP control supports iOS/Android. Compatible with ROS1/ROS2, Ubuntu22.04
【Excellent hardware configuration】Aluminum alloy chassis, 360° omnidirectional Mecanum wheel, all-round movable robot; optional radar, high-quality depth camera, voice alternation module, display screen, professionally designed expansion according to different versions panel. Professional ROS robot supports more DIY development. Users can re-develop existing courses and learn from them.(If you would like custom accessories, please contact Yahboom)
【Rich materials and technical support】Provide 204 bilingual video courses and online technical help. The course content includes: ROSMASTER X3 assembly, Linux operating system, ROS and openCV series courses, depth camera and radar exploration, which is a deep learning process. From pictorial navigation lectures and simple to deep learning measured navigation. Material website: http://www.yahboom.net/study/ROSMASTER-X3
1.399,00 € AUF AMAZON
Yahboom
Yahboom Raspberry Pi 5 8GB for AI Robot Car,Supports RVIZ Simulation ROS2,TOF Lidar,SLAM Mapping Navigation, Tracking and Obstacle Avoidance(A1-ULT-Without-Pi5)
82
SICHERE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#6
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【AI Large Model Interaction & Embodied Intelligence】Rosmaster A1 supports dual-model dynamic reasoning, enhanced RAG search, and free conversation interruption. It recognizes the described scene and boasts superior environmental perception, reasoning, and intelligent execution capabilities, enabling natural, smooth, and context-aware human-computer interaction.
【Controller Options for Diverse Applications】Rosmaster A1 Ackerman robot supports 5 different development board configurations: Jetson Orin Nano Super 8GB, Raspberry-Pi 5 (8GB), and Jetson Nano B01 4GB, catering to needs from beginners to advanced developers. Recommended for Orin Nano Super Version, high-performance deep learning research and computation, supporting more complex AI models.
【High-performance hardware configuration】Adopts Ackerman steering chassis to realize road sign and traffic light recognition, close to actual driving, helping users develop autonomous driving technology; equipped with Nuwa-HP60C depth camera+TminiPlus lidar/SLAM C1 Lidar, using high-torque 520 motor; large-capacity battery, battery life increased by 170%, and comes with a large-capacity TF card to meet multi-tasking needs.
【Relocalization SLAM Navigation】The upgraded SLAM with Relocalization system, high flexibility, requiring no environmental modifications. The map is stored in software, allowing for dynamic changes to tasks, paths, and destinations. It's ideal for complex, dynamic environments with frequent task changes. It also supports various AI applications such as SLAM mapping, path planning, object recognition, and target tracking.
【Open Source Ecosystem & Professional Support】Compatible with ROS2/open source code, it provides detailed tutorials and an SDK. Expandable with accessories like robotic arms and sensors, it's suitable for AI research, educational experiments, smart home control, and more. It's an excellent choice for STEM education and robotics programming enthusiasts.
375,00 € AUF AMAZON
Yahboom
Yahboom ROS2 Robot for Jetson Orin Lidar Mapping Navigation Depth Image 3D Analysis Mecanum Wheel Python Programming Learn Explore Robotic Kit (Orin Nano Superior Ver-with Orin Nano SUPER(8GB))
78
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#7
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【ROS Robot Learning Kit】The newly upgraded version is compatible with Orin Nano SUPER and Orin NX SUPER robot kits, and can provide stable power for the SUPER kits. We provide 5 ROS X3 development board versions, and multiple accessory versions are available. Orin Nano SUPER, Orin NX SUPER, Jetson Nano and RPi5. The performance issues of different development boards are different.
【AI Visual Explore】Equipped with ROS1/ROS2 operating system; ridar: can use voice to control multi-point navigation, supporting path planning and independent exploration and mapping;RTAB-3D mapping and navigation, and depth image data can be used to obtain real size information; AI visual depth gameplay: attitude detection, overall detection, and three-dimensional detection and recognition can be completed through MediaPipe development; YOLO model training, TensorRT.
【Multi-platform control】Compatible with a variety of remote control methods, including mobile phone remote control APP, game controller, ROS system, PC computer keyboard and Jupyter Lab control, etc. Suitable for multi-scene control use. *Mobile APP control supports iOS/Android. Compatible with ROS1/ROS2, Ubuntu22.04
【Excellent hardware configuration】Aluminum alloy chassis, 360° omnidirectional Mecanum wheel, all-round movable robot; optional radar, high-quality depth camera, voice alternation module, display screen, professionally designed expansion according to different versions panel. Professional ROS robot supports more DIY development. Users can re-develop existing courses and learn from them.(If you would like custom accessories, please contact Yahboom)
【Rich materials and technical support】Provide 204 bilingual video courses and online technical help. The course content includes: ROSMASTER X3 assembly, Linux operating system, ROS and openCV series courses, depth camera and radar exploration, which is a deep learning process. From pictorial navigation lectures and simple to deep learning measured navigation. Material website: http://www.yahboom.net/study/ROSMASTER-X3
1.099,00 € AUF AMAZON
Waveshare
Waveshare JetRacer Professional Version ROS AI Kit, Dual Controllers AI Robot, Lidar Mapping, Vision Processing, Includes Waveshare Jetson Nano Dev Kit 4GB (NOT Support Nano 2GB)
75
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#8
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This kit provides Waveshare Self-produced Jetson Nano Dev Kit. Provide online user manual, please check the manual carefully before using!
This product requires 3x18650 batt(NOT included) to work. High batt capacity, up to 12.6V voltage output, more powerful driving force. Integrates S-8254AA + AO4407A lithium batt protection circuit, provides protections for over-charge, over-discharge, over-current, and short circuit. The power supply in this kit is for batt charging only, and will not power the Jetson Nano directly
Waveshare Jetson Nano Dev Kit is the alternative solution of B01 kit, with the Jetson Nano B01 eMMC version module and the Waveshare JETSON-IO-BASE-A carrier board, providing almost the same performance and appearance as the Jetson Nano Developer Kit (B01). The B01 kit on board is a non-production specification Jetson Nano module, mainly for development and software testing, while the Jetson Nano B01 eMMC version is more suitable for users to integrate in production environments
8MP High Definition resolution, 160° FOV wide angle camera. AC8265 wireless NIC, 2.4G/5G dual-band WiFi, BT 4.2. 0.91inch 128×32 pixels OLED
Please properly keep the products' original packing box and accessories (if any) for warranty service, For Waveshare Jetson Nano Dev Kit 4GB, it includes: The Jetson Nano module, JETSON-IO-BASE-A carrier board and official heatsink. Please refer to the part list for detailed package contents
556,99 € AUF AMAZON
Yahboom
Yahboom Raspberry Pi 5 8GB for AI Robot Car,Supports RVIZ Simulation ROS2,TOF Lidar,SLAM Mapping Navigation, Tracking and Obstacle Avoidance(A1-Ult-with-Pi5-8GB)
72
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#9
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【AI Large Model Interaction & Embodied Intelligence】Rosmaster A1 supports dual-model dynamic reasoning, enhanced RAG search, and free conversation interruption. It recognizes the described scene and boasts superior environmental perception, reasoning, and intelligent execution capabilities, enabling natural, smooth, and context-aware human-computer interaction.
【Controller Options for Diverse Applications】Rosmaster A1 Ackerman robot supports 5 different development board configurations: Jetson Orin Nano Super 8GB, Raspberry-Pi 5 (8GB), and Jetson Nano B01 4GB, catering to needs from beginners to advanced developers. Recommended for Orin Nano Super Version, high-performance deep learning research and computation, supporting more complex AI models.
【High-performance hardware configuration】Adopts Ackerman steering chassis to realize road sign and traffic light recognition, close to actual driving, helping users develop autonomous driving technology; equipped with Nuwa-HP60C depth camera+TminiPlus lidar/SLAM C1 Lidar, using high-torque 520 motor; large-capacity battery, battery life increased by 170%, and comes with a large-capacity TF card to meet multi-tasking needs.
【Relocalization SLAM Navigation】The upgraded SLAM with Relocalization system, high flexibility, requiring no environmental modifications. The map is stored in software, allowing for dynamic changes to tasks, paths, and destinations. It's ideal for complex, dynamic environments with frequent task changes. It also supports various AI applications such as SLAM mapping, path planning, object recognition, and target tracking.
【Open Source Ecosystem & Professional Support】Compatible with ROS2/open source code, it provides detailed tutorials and an SDK. Expandable with accessories like robotic arms and sensors, it's suitable for AI research, educational experiments, smart home control, and more. It's an excellent choice for STEM education and robotics programming enthusiasts.
499,00 € AUF AMAZON
Yahboom
Yahboom USB 3.0 HUB Expansion Board Docking Station USB3.0 * 4 for Mechanical Engineers, ROS Robot Car Supports Raspberry Pi 5, Horizon, Jetson Nano, Jetson Orin with Windows7/8/10, Mac
68
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#10
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VL817 main control chip - USB3.0 HUB expansion board is designed to solve the problem of insufficient USB interfaces and insufficient power supply on the motherboard due to the increase in USB peripheral devices. Equipped with VL817 main control chip, the main control board has stable performance and stable transmission. The USB3.0 communication interface and HUB chip are used to expand 4 USB interfaces to ensure high-speed data transmission of the interface.
The 4 USB interfaces can be expanded at the same time to double the efficiency. When used as a motherboard/host USB docking station, external devices such as keyboards, standard cameras, and U disks can be connected at the same time. When used as a robot/car extension, it can be connected to external devices such as lidar, Bluetooth receiver, and depth camera at the same time. Each USB device has its own indicator light.
Supports wide-voltage external power supply. In addition to USB-A standard data interface power supply, it also supports 5V (micro-USB), 6~24V (DC interface/XH2.54 socket) wide-voltage external power supply, ensuring high-power peripherals, multiple The power supply and transmission are stable under high power consumption conditions when the devices are used simultaneously, and each USB3.0 interface can output sufficient current.
The new upgrade supports Raspberry Pi 5 and is compatible with ROS robots/cars, Raspberry Pi5/4b/Jetson series developer kits, Horizon, PCs, industrial computers, etc. Compatible with win7/8/10, Linux, Ubuntu, and MacOS systems. No driver files required, just plug and play. If you need to restart a USB device, you can power the device off and on again without damaging the interface.
The size supports Raspberry Pi/Horizon stack installation, and supports the installation of Raspberry Pi 5/4B/3B+/3B. Kit includes exclusive copper post screw accessories and data cable for Jetson Nano and Raspberry Pi. Material quality is reliable and technical assistance is provided.
29,99 € AUF AMAZON
lidar
#1 GEWINNER
