jetson orin nx 16gb

【Orin NX SUB core parameters】AI performance: 117-157 TOPS GPU: 1024-core N-VI-DIA ampere architecture GPU, 32 Tensor Core CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 ★Memory: 8GB/16GB 128-bit LPDDR5 | 102.4GB/s ★Storage: Support external NVMe; can run all modern artificial intelligence models. The power can be configured between 10W-40W, and the performance is greatly improved. (8GB/16GB optional) 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; standard 256GB SSD read speed is more than 7 times faster than SD card. 【Official carrier board performance】 This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 40W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 24.04 system and AI vision, ROS development materials.

【Orin NX SUB core parameters】AI performance: 117-157 TOPS GPU: 1024-core N-VI-DIA ampere architecture GPU, 32 Tensor Core CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 ★Memory: 8GB/16GB 128-bit LPDDR5 | 102.4GB/s ★Storage: Support external NVMe; can run all modern artificial intelligence models. The power can be configured between 10W-40W, and the performance is greatly improved. (8GB/16GB optional) 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; standard 256GB SSD read speed is more than 7 times faster than SD card. 【Official carrier board performance】 This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 40W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 24.04 system and AI vision, ROS development materials.

【Orin NX SUB core parameters】AI performance: 117-157 TOPS GPU: 1024-core N-VI-DIA ampere architecture GPU, 32 Tensor Core CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 ★Memory: 8GB/16GB 128-bit LPDDR5 | 102.4GB/s ★Storage: Support external NVMe; can run all modern artificial intelligence models. The power can be configured between 10W-40W, and the performance is greatly improved. (8GB/16GB optional) 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; standard 256GB SSD read speed is more than 7 times faster than SD card. 【Official carrier board performance】 This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 40W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 24.04 system and AI vision, ROS development materials.

【Orin NX SUB core parameters】AI performance: 117-157 TOPS GPU: 1024-core N-VI-DIA ampere architecture GPU, 32 Tensor Core CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 ★Memory: 8GB/16GB 128-bit LPDDR5 | 102.4GB/s ★Storage: Support external NVMe; can run all modern artificial intelligence models. The power can be configured between 10W-40W, and the performance is greatly improved. (8GB/16GB optional) 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; standard 256GB SSD read speed is more than 7 times faster than SD card. 【Official carrier board performance】 This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 40W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 24.04 system and AI vision, ROS development materials.

Lieferung nur an Gewerbetreibende, Institutionen und Behörden. Delivery only to businesses, institutions, and government agencies. Das NVIDIA Jetson Orin NX 16-GB-Modul bietet bis zu 100 TOPS KI-Leistung im kleinsten Jetson-Formfaktor, wobei die Leistung zwischen 10 W und 25 W konfigurierbar ist. Dadurch erhalten Sie die dreifache Leistung von NVIDIA Jetson AGX Xavier und die fünffache Leistung von NVIDIA Jetson Hochleistungs-GPU mit fortschrittlicher Architektur . 1024-Kern-NVIDIA-Ampere . Architektur-GPU mit 32 Tensorkernen . 2x NVDLA v2.0 . 8-Kern-Arm Cortex-A78AE v8.2 64-Bit-CPU . 16 GB 128-Bit LPDDR5 . PVA v2.0 Erleben Sie den weltweit leistungsstärksten KI-Computer für autonome energieeffiziente Maschinen im kleinsten NVIDIA Jetson -Formfaktor aller Zeiten. Es bietet die fünffache Leistung und doppelt so viele NVIDIA CUDA - Kerne der letzten Generation sowie Hochgeschwindigkeitsschnittstellenunterstützung für mehrere Sensoren. Mit 100 TOPS für mehrere gleichzeitige KI-Inferenzpipelines bietet Ihnen Jetson Orin NX große Leistung in einem erstaunlich kompakten Paket. Technische Daten . KI-Leistung: 100 TOPS . GPU: 1024 Kernampere, mit 32 Tensorkernen . DL-Beschleuniger: (2x) NVDLA V2.0 . Visionsbeschleuniger: PVA v2.0 . CPU: 8-Kern-Arm Cortex-A78AE / 2 MB L2 + 4 MB L3 . Arbeitsspeicher: 16 GB 128-Bit LPDDR5 bei 2133 Hz @102,4 GB/s . Speicher: 0 GB (Unterstützt externes NVMe) . Videokodierung: 1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1 . Videodekodierung: 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265) H.264, H.265, VP9, AV1 . Kamera: bis zu 4 Kameras (8 über virtuelle Kanäle) / 8 Lanes MIPI CSI-2 / D-PHY 1.2 (20 Gbit/s) . PCI-Express: 3 x1 + 1 (x4 PCIe Gen 4) . Anschluss: 260-poliger Stecker . Leistung: 10W / 15W / 25W . Maße (LxB): 69,6 x 45 mm Anwendung . autonome Fahrzeuge . Drohnen und Roboter . industrielle Automatisierung . medizinische Bildgebung . smarter Einzelhandel Hersteller Informationen & Software https://developer.nvidia.com/embedded/jetson-modules https://developer.nvidia.com/embedded/learn/getting-started-jetson https://developer.nvidia.com/embedded/jetpack https://developer.nvidia.com/embedded/downloads

【Orin NX SUB core parameters】AI performance: 117-157 TOPS GPU: 1024-core N-VI-DIA ampere architecture GPU, 32 Tensor Core CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 ★Memory: 8GB/16GB 128-bit LPDDR5 | 102.4GB/s ★Storage: Support external NVMe; can run all modern artificial intelligence models. The power can be configured between 10W-40W, and the performance is greatly improved. (8GB/16GB optional) 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; standard 256GB SSD read speed is more than 7 times faster than SD card. 【Official carrier board performance】 This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 40W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 24.04 system and AI vision, ROS development materials.

【Orin NX SUB core parameters】AI performance: 117-157 TOPS GPU: 1024-core N-VI-DIA ampere architecture GPU, 32 Tensor Core CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 ★Memory: 8GB/16GB 128-bit LPDDR5 | 102.4GB/s ★Storage: Support external NVMe; can run all modern artificial intelligence models. The power can be configured between 10W-40W, and the performance is greatly improved. (8GB/16GB optional) 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; standard 256GB SSD read speed is more than 7 times faster than SD card. 【Official carrier board performance】 This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 40W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 24.04 system and AI vision, ROS development materials.

【Orin NX SUB core parameters】AI performance: 117-157 TOPS GPU: 1024-core N-VI-DIA ampere architecture GPU, 32 Tensor Core CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 ★Memory: 8GB/16GB 128-bit LPDDR5 | 102.4GB/s ★Storage: Support external NVMe; can run all modern artificial intelligence models. The power can be configured between 10W-40W, and the performance is greatly improved. (8GB/16GB optional) 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; standard 256GB SSD read speed is more than 7 times faster than SD card. 【Official carrier board performance】 This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 40W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 24.04 system and AI vision, ROS development materials.

【Orin NX SUB core parameters】AI performance: 117-157 TOPS GPU: 1024-core N-VI-DIA ampere architecture GPU, 32 Tensor Core CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 ★Memory: 8GB/16GB 128-bit LPDDR5 | 102.4GB/s ★Storage: Support external NVMe; can run all modern artificial intelligence models. The power can be configured between 10W-40W, and the performance is greatly improved. (8GB/16GB optional) 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; standard 256GB SSD read speed is more than 7 times faster than SD card. 【Official carrier board performance】 This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 40W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 24.04 system and AI vision, ROS development materials.

【Orin NX SUB core parameters】AI performance: 117-157 TOPS GPU: 1024-core N-VI-DIA ampere architecture GPU, 32 Tensor Core CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 ★Memory: 8GB/16GB 128-bit LPDDR5 | 102.4GB/s ★Storage: Support external NVMe; can run all modern artificial intelligence models. The power can be configured between 10W-40W, and the performance is greatly improved. (8GB/16GB optional) 【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; standard 256GB SSD read speed is more than 7 times faster than SD card. 【Official carrier board performance】 This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 40W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 24.04 system and AI vision, ROS development materials.

【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 8GB, 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.

【Ackermann Steering Structure】The Rosmaster R2 robot car adopts the steering method of modern cars and adopts an aluminum Ackermann chassis structure. When the robot car turns, the angle of the inner ring is different, and the turning radius of the inner tube is smaller than the turning radius of the tire, which can maximize the performance of the robot car. R2 is compatible with ROS&ROS2, and Yahboom provides relevant ROS2 system programming information. 【Rosmaster R2 has 3 versions (standard version, deluxe version, ultimate version)】It can be used with 4 development boards (Raspberry Pi 5, Jetson Nano 4GB, Jetson Orin Nano SUPER, Jetson Orin NX SUPER), depending on the version you choose. Please note that a development board is included. If you would like to reduce the amount of hardware in your kit (e.g. depth camera, ridar, etc.), please contact Yahboom first. 【Based on robot operating system】is equipped with high-performance hardware such as lidar, depth camera, and voice interaction module. It can realize applications such as robot motion control, remote communication control, measurement navigation, obstacle tracking, automatic driving, human body feature action recognition, and voice alternating control. Yahboom provides tutorials, source code and professional technical support. All documentation,including installation instructions is English. 【Multi-platform linkage】Supports multiple remote control methods. For example, mobile applications, steering wheels, ROS systems, computer keyboards, etc. It is an artificial intelligence robot that listens to your commands. You can control your robot car and import your code at any time. Note: Map navigation app is only compatible with Android phones. 【Excellent hardware configuration】Aluminum alloy body, 360° omnidirectional Mecanum wheel, optional lidar, high-quality depth camera, optional voice interaction module, professionally designed expansion board. Support more development. Provide professionals with exploration models, learning algorithms, acquisition of unknown area terrain, deep learning AI visual recognition, research on autonomous driving, exploration of 3D object recognition, etc.

Lüfterloser kompakter PC: Thermisches Referenzdesign, breitere Temperaturunterstützung -20 ~ 60 °C mit 0,7 m/s Luftstrom Entwickelt für industrielle Schnittstellen: 2 x RJ-45 GbE (1 für POE-PSE 802.3 af); 1 x RS-232/RS-422/RS-485; 4 x DI/DO; 1 x CAN; 3 x USB 3.2; 1 x TPM2.0 (Modul optional) Hybrid-Konnektivität: Unterstützt 5G/4G/LTE/LoRaWAN/GPS (Modul optional) mit 1 x Nano-SIM-Kartensteckplatz 【Flexible Montage】Schreibtisch, DIN-Schiene, Wandmontage, VESA Zertifizierungen: FCC, CE, RoHS, UKCA Hinweis: Netzteil muss separat erworben werden

Fanless aluminum‑alloy passive cooling case with copper heat pipes for Jetson Orin Nano / NX, no fan noise. Precise cutouts work with JETSON‑ORIN‑IO‑BASE / IO‑BASE‑H carrier boards for full‑port access. Built‑in power button with indicator LED for easy local power control. DIN‑rail mounting holes reserved (rail excluded) for cabinet‑style industrial installation. Comes with full assembly accessories, ideal for compact edge‑AI and machine‑vision deployments.

Fanless aluminum‑alloy passive cooling case with copper heat pipes for Jetson Orin Nano / NX, no fan noise. Precise cutouts work with JETSON‑ORIN‑IO‑BASE / IO‑BASE‑H carrier boards for full‑port access. Built‑in power button with indicator LED for easy local power control. DIN‑rail mounting holes reserved (rail excluded) for cabinet‑style industrial installation. Comes with full assembly accessories, ideal for compact edge‑AI and machine‑vision deployments.

【High-Performance Hardware & ROS2】ROSMASTER M3 is built on the ROS2 operating system and is compatible with Jetson Orin Super, Raspberry Pi5, and RDK X5. It supports optional single/dual TOF LiDAR and a 3D depth camera for tasks such as 3D mapping and navigation, AI recognition, and voice interaction, meeting needs from algorithm validation to advanced project development. 【AI-Powered, Enhanced Human-Machine Interaction】M3 utilizes three AI models to build an interaction system centered around OpenRouter. Combined with 3D vision, it identifies scenes described in instructions and verifies them through multimodal visual matching to enable navigation and AI visual functions. It possesses exceptional environmental perception, reasoning, and intelligent execution capabilities, empowering more advanced embodied AI applications. 【Innovative Road Network Planning】Introducing the intelligent road network planning function of ROS2, it allows users to easily create, edit, and manage the robot’s navigation routes. This enables the Rosmaster M3 to travel along preset paths on the map, intelligently selecting the shortest route to reach target points, simulating autonomous driving in real-world scenarios. 【Dual LiDAR for 360° Omni-Directional Perception】The dual lidars are arranged in a diagonally staggered layout to achieve 360° all-around environmental perception. Point cloud registration and IMU fusion reduce high-speed motion distortion and improve the accuracy of mapping and navigation, enabling one-step path planning. 【Comprehensive Tutorials】Rosmaster M3 will guide you through ROS2 development, Large AI Models, road network planning, autonomous driving, and AI multimodal models. We provide deep learning materials and video tutorials, including tutorials from beginner to advanced levels, source code, and AI project examples.

reComputer Industrial J4012 umfasst ein Jetson Orin NX 16GB-Modul, ein passives Kühlkörper-Aluminiumgehäuse, Montage-/DIN-Schienenhalterungen und ein Netzteil. lüfterloser Kompakt-PC : Thermal-Referenzdesign, breitere Temperaturunterstützung -20 ~ 60 °C mit 0,7 m/s Luftstrom entwickelt für industrielle Schnittstellen : 2x RJ-45 GbE (1 für POE-PSE 802.3 af); 1x RS-232/RS-422/RS-485; 4x DI/DO; 1 DOSE; 3x USB3.2; 1x TPM2.0 (Modul optional) hybride Konnektivität : Unterstützt 5G/4G/LTE/LoRaWAN/GPS (Modul optional) mit 1x Nano-SIM-Kartensteckplatz flexible Montage : Schreibtisch, DIN-Schiene, Wandmontage, VESA Die reComputer - Industrieserie bietet vollständige Systeme mit vorinstalliertem NVIDIA Jetson Jetpack 5.1.1. Ideal für Videoanalyse, Objekterkennung, natürliche Sprachverarbeitung, medizinische Bildgebung und Robotik in Branchen wie Smart Cities, Sicherheit und Industrieautomation. Mit passivem Kühlkörper und lüfterlosem Design ist reComputer industrial robust für anspruchsvolle Umgebungen. Zwei RJ45-GbE-Ports, einer mit PoE-PSE für IP-Kameras, vereinfachen die Stromversorgung über Ethernet und die Netzwerkkommunikation. Technische Daten NVIDIA Jetson-Modul: Orin NX 16GB KI-Leistung: 100 TOPS GPU: 1024-Kern-GPU mit NVIDIA-Ampere-Architektur und 32 Tensor-Kernen CPU: 8-Kern Arm Cortex-A78AE v8.2 64-Bit-CPU 2 MB L2 + 4 MB L3 Arbeitsspeicher: 16 GB 128-Bit LPDDR5 @102 GB/s Videokodierung (H.265): 1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 Videodekodierung (H.265): 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 Speicher-Erweiterung: M.2 Key M PCIe Gen4.0 SSD (M.2 NVMe 2280 SSD 128G im Lieferumfang enthalten) Netzwerk 1: 1x LAN RJ45 GbE PoE (PSE 802.3 af 15 W) Netzwerk 2: 1x LAN RJ45 GbE (10/100/1000 Mbit/s) USB: 3x USB3.2 Gen1, 1x USB2.0 Typ C (Gerätemodus), 1x USB2.0 Typ C für Debug UART & RP2040 DI/DO: 4x DI, 4x DO, 3x GND_DI, 2x GND_DO, 1x GND_ISO, 1x CAN COM: 1x DB9 (RS232/RS422/RS485) Anzeige: 1x HDMI 2.0 Typ A SIM: 1x Nano-SIM-Kartensteckplatz Mini-PCIe: Mini PCIe für 4G/LoRaWAN (Modul optional) M.2 Key B: M.2 Key B unterstützt 4G/5G (Modul optional) Lüfter: Lüfterloser, passiver Kühlkörper | 1x Lüfteranschlüsse (5 V PWM) TPM: 1x TPM 2.0-Anschluss (Modul optional) RTC: 1x RTC-Buchse (CR1220 im Lieferumfang enthalten), 1* RTC 2-polig Kamera: 2x CSI (2-spurig 15-polig) Installation: Schreibtisch, DIN-Schiene, Wandmontage, VESA Betriebstemperatur: -20 ~ 60°C mit 0,7m/s Betriebsfeuchtigkeit: 95 % bei 40 °C (nicht kondensierend) Vibration: 3 Grms bei 5 ~ 500 Hz, zufällig, 1 Stunde/Achse Schock: 50G Spitzenbeschleunigung (11 ms) Stromversorgung: DC 12V-24V Klemmenblock 2-polig (im Lieferumfang) Maße (LxBxH): 159 x 155 x 57 mm Lieferumfang reComputer Industrial inkl. Software vorinstalliert 16-poliger Klemmenblock für DIO 2-poliger Klemmenblock für Stromanschluss 19-V-Netzteil (ohne Netzkabel, siehe "Zubehör & Alternativprodukte") Montagehalterung (2x) DIN-Schienenhalterung Halterungsschrauben (4x) Hersteller Informationen & Software https://wiki.seeedstudio.com/reComputer_Industrial_Getting_Started/ https://developer.nvidia.com/embedded/jetpack https://www.seeedstudio.com/edge-ai-partner-program Hinweis FCC, CE, RoHS, UKCA 2 Jahre Garantie

Der reComputer Super J4012 ist ein leistungsstarkes Edge-AI-System, das auf dem NVIDIA Jetson Orin NX 16GB Modul basiert. Mit einer KI-Leistung von bis zu 157 TOPS im Super-Modus eignet er sich ideal für anspruchsvolle Anwendungen in den Bereichen Videoanalyse, multimodale Wahrnehmung und Robotik. Das System ist für den Einsatz in einem weiten Temperaturbereich von -20 °C bis 65 °C ausgelegt und bietet vielfältige optionale drahtlose Kommunikationsmöglichkeiten, wie Wi-Fi, Bluetooth und LTE. Prozessor: NVIDIA Jetson Orin NX 16GB KI-Leistung: Bis zu 157 TOPS im Super-Modus RAM: 16 GB LPDDR5 Speicher: 128 GB NVMe SSD Videoausgang: HDMI 2.1 USB-Anschlüsse: 4× USB 3.2 Kameraanschlüsse: 4× CSI Netzwerk: 2× Gigabit Ethernet RJ-45 Erweiterungsslots: M.2 Key E, M.2 Key M, Mini-PCIe drahtlose optionale Kommunikation: Wi-Fi, Bluetooth, LTE CAN-Bus: Ja GPIO: 40-Pin Erweiterungsheader Stromversorgung: 12 V/5 A (Barrel Jack 5,5/2,5 mm) Betriebstemperatur: -20 °C bis 65 °C Maße (LxBxH): 130 mm × 120 mm × 58,5 mm vorinstallierte Software: NVIDIA JetPack SDK Mit seiner kompakten Bauweise und der leistungsstarken Hardware ist der reComputer Super J4012 eine ideale Lösung für Entwickler und Unternehmen, die fortschrittliche KI-Anwendungen am Edge implementieren möchten. Die Vielzahl an Schnittstellen und Erweiterungsmöglichkeiten ermöglicht eine flexible Integration in verschiedene Systeme und Anwendungsbereiche. Lieferumfang reComputer Super J4012 Aluminiumgehäuse mit Kühlkörper und Lüfter USB-Kabel (Typ A zu Typ C) Benutzerhandbuch Ein vielseitiges und robustes Edge-AI-System für anspruchsvolle Anwendungen in Industrie, Smart Cities und Robotik. Hinweis ein passendes Netzteil und WiFi-/BT-Modul finden Sie unter "Zubehör & Alternativprodukte" Externe Links https://wiki.seeedstudio.com/recomputer_jetson_super_getting_started/ https://files.seeedstudio.com/products/NVIDIA-Jetson/reComputer%20Super%20J401.stp

- Grafikkarte für KI-Anwendungen - Nvidia Ampere 32-Core Grafikprozessor - Arm Cortex-A78AE v8.2 Prozessor - 8 GB Arbeitsspeicher, 128 GB SSD - Vielzahl an USB-Anschlüssen, Linux-Betriebssystem

This Is Not The Official Developer Kit Based on Jetson Orin NX Module, with JETSON-ORIN-IO-BASE-B base board, providing rich peripheral interfaces such as M.2, DP, USB, dual ETH ports, etc., which is more convenient for users to realize the product performance This kit includes the Orin NX Module with 16GB Memory, no built-in storage module, provides up to 70 TOPS / 100 TOPS AI performance, and up to 117 TOPS / 157 TOPS after upgrading to the SUPER version, comes with a 256GB NVMe Solid State Drive, high-speed reading/writing, meet the needs of large AI project development This kit also comes with a pre-installed dual-band wireless network card that supports BT 5.0 and dual-band WIFI, with two additional PCB antennas, for providing high-speed and reliable wireless network connection and BT communication JETSON-ORIN-NX-16G-ETH-DEV-KIT: Includes Jetson Orin NX Module (16GB), JETSON-ORIN-IO-BASE-B base board, cooling fan, 256GB NVMe Solid State Drive, AW-CB375NF dual-band wireless network card, FFC cable, USB cable, USB expansion board, Network cable, power supply adapter, etc.

【5 Master Controllers】5 master controllers are available, one of which is for educational robotic arms, which can be seamlessly integrated with the Jetson Nano/Orin Nano SUPER/Orin NX SUPER ecosystem. Built on 5 master controllers and running Ubuntu 22.04, it is an ideal development tool for developing robots and programming. It supports multiple fields such as robot algorithm development and ROS simulation learning. ☆ Orin NX 16GB SUPER version is recommended. 【UR-type mechanical structure】The 7axis collaborative robot developed for user-defined programming has greater flexibility than traditional robotic arms.The smooth body and adaptive gripper have a larger range of motion and can reach more and more precise positioning.Using AI to control its movement and speed, it can achieve millimeter-level positioning and operation.It can work safely with people,is compact, and has many interfaces,making it a collaborative partner on your desktop. 【Programmable&ROS system】Explore the possibilities of RoboFlow,the industrial robot software of elephant robot.Relying on the original Jetson Nano open source ecosystem,Jetcobot provides rich development interfaces, Python driver libraries and built-in ROS environment to make your development easier and faster. It supports multiple programming languages, various software interaction methods and is for a wide range of app. Explore the unlimited potential of this collaborative robot arm. 【AI Vision & Remote Control】Equipped with building blocks and stickers, it can realize recognition, tracking and grabbing actions, fully reflecting the AI ​​characteristics of the robot arm. Equipped with a USB game controller remote control to achieve the best control experience; create a Jupyter Lab page online. 【Tutorials provided】All information and instructions are in English.We provide high-quality technical support services. If you need help, please contact Yahboom.Jetcobot is recommended for individuals with a basic understanding of programming, not for beginners.Considering the threshold of product use,we strongly recommend that you read the instructions carefully before operation.Please pay attention to the power adapters in the list.If you use them interchangeably, they will burn out.

RAM:16GB KI-Rechenleistung:157 TOPS

Der reServer Industrial ist ein lüfterloser, kompakter Edge-AI-Server, der durch den NVIDIA Jetson Orin NX 16GB SoM angetrieben wird und eine AI-Leistung von bis zu 100 TOPS bietet. Er ist für den Einsatz in einem breiten Temperaturbereich von -20 bis 60°C mit einem Luftstrom von 0,7 m/s ausgelegt. Fanless Compact Edge AI Server: Angetrieben von NVIDIA Jetson Orin NX 16GB SoM mit 100 TOPS AI-Leistung, breiter Temperaturbereich von -20 bis 60°C mit 0,7 m/s Luftstrom Multi-Stream Processing: 5* GbE RJ45 (4 für 802.3af PSE), verarbeitet mehrere Streams in Echtzeit Expandable Storage: 2 Laufwerkschächte für 2,5" SATA HDD/SSD, plus ein M.2 2280-Sockel für NVMe SSD Industrial Interfaces: Enthält COM-Port, DI/DO-Ports, CAN-Port, USB3.1 und optionales TPM2.0-Modul Hybrid Connectivity: Unterstützt 5G/4G/LTE/LoRaWAN (Modul optional) mit Nano-SIM-Kartensteckplatz Certifications: FCC, CE, UKCA, ROHS, KC Der reServer Industrial ist ein leistungsstarker Edge-Inference-Server für intelligente Videoanalytik. Er ermöglicht die einfache Aufrüstung älterer Kameras und kann vor Ort Videoanalyseaufgaben durchführen, wodurch die Notwendigkeit ständiger menschlicher Überwachung reduziert wird. Der Server konsolidiert Ihre Analyseanforderungen und erschließt AI-Fähigkeiten für vorhandene Kameras und Video Management Systeme (VMS). Mit dem NVIDIA Jetson Orin NX 16GB Prozessor, der eine AI-Leistung von bis zu 100 TOPS bietet und mehrere Video-Streams in Echtzeit verarbeiten kann, ermöglicht der reServer die Anwendung leistungsstarker Filter für kritische Einblicke in umfangreiches Videomaterial. Für die Speicherung und den Upload bietet der reServer Industrial zwei 2,5-Zoll-Festplatteneinschübe, die ausreichend Speicherkapazität für wachsende Datenanforderungen bieten. Zudem ermöglicht die Out-of-the-box-Lösung CVEDIA-RT mit verschiedenen AI-Modellen die Erkennung von Gesichtern, Fahrzeugen und Personen sowie die Schätzung von Menschenmengen. Durch Lumeo's innovative Drag-and-Drop-Tools können maßgeschneiderte Videoanalyselösungen ohne Programmierung erstellt werden. Die umfangreiche Wiki hilft bei der Einführung in die Computer Vision-Software und Entwicklungstools und führt durch jeden Schritt der Anwendung: Daten für das Training erhalten Daten für die Datensatzvorbereitung kennzeichnen AI-Modelle trainieren Modelle optimieren, um die beste Leistung auf dem Edge-Gerät zu erzielen Modell auf dem Edge-Gerät bereitstellen Remote-Management Fazit: Der reServer Industrial bietet eine umfassende und leistungsstarke Lösung für Edge-AI- und Videoanalyse-Anwendungen. Mit seiner hohen AI-Leistung, vielseitigen Schnittstellen und robusten Bauweise ist er ideal für den industriellen Einsatz und erleichtert die Implementierung maßgeschneiderter Videoanalyselösungen. Lieferumfang . reServer Industrial . DIN-Schienenhalterung . Halteschrauben (10 Stück) . 16-Pin Terminalblock für DIO . 24V/5A Netzadapter (ohne Netzkabel) . 2-Pin Terminalblock-Stromanschluss Hinweis Die spezifischen technischen Daten entnehmen Sie bitte dem Datenblatt Externe Links https://wiki.seeedstudio.com/reServer_Industrial_Getting_Started/ https://www.seeedstudio.com/blog/2023/07/28/developing-vision-ai-application-with-nvidia-deepstream-graph-composer/ https://www.seeedstudio.com/blog/2023/06/29/video-analytics-solution-in-airports-for-operation-efficiency-improving-and-safety-enhancement/

reComputer J4011 mit Jetson Orin NX 16 GB ist eine leistungsstarke und kompakte intelligente Edge-Box, die bis zu 100 TOPS moderner KI-Leistung an den Rand bringt, die mehr als das 5-fache der Leistung von Jetson Xavier NX und mehr als das 3-fache der Leistung von Jetson AGX Xavier bietet. Durch die Kombination der NVIDIA Ampere GPU-Architektur mit 64-Bit-Betriebsfähigkeit integriert Jetson Orin NX fortschrittliche multifunktionale Video- und Bildverarbeitung und NVIDIA Deep Learning Accelerators. Das vollständige System umfasst ein NVIDIA Jetson Orin NX 16 GB Produktionsmodul, einen Kühlkörper und ein Gehäusel. reComputer J4012 ist mit NVIDIA JetPack 5.1 vorinstalliert, vereinfacht die Entwicklung und eignet sich für den Einsatz für Edge-KI-Lösungsanbieter, die in den Bereichen Videoanalyse, Objekterkennung, Verarbeitung natürlicher Sprache, medizinische Bildgebung und Robotik in den Branchen Smart Cities, Sicherheit, Industrieautomation, intelligente Fabriken. Technische Daten . CPU 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 . GPU NVIDIA Ampere Architektur mit 1024 NVIDIA CUDA Kernen und 32 Tensor Kernen @918 MHz . AI Leistung: 100 TOPS . DL-Beschleuniger: 2x NVDLA v2 @614 MHz . Vision-Beschleuniger: 1x PVA v2 . Speicher: 16 GB 128-bit LPDDR5 @102.4 GB/s . Video Encoder: 1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) H.264, H.265, AV1 . Video Decoder: 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265) H.264, H.265, VP9, AVI . Netzwerk: 10/100/1000 Mbit . Anschlüsse Display: HDMI 2.1 . Anschlüsse USB: 4x USB 3.2 Typ-A, USB2.0 Typ-C . Anschlüsse Speicher: M.2 Key M, M.2 Key E . weitere Anschlüsse: CAN, 4-Pin Lüfter (5 V), 40-Pin I/O, 12-Pin Control, UART, RTC . Spannungseingang: 9 .. 19 V . Spannungsversorgung: 12 V / 5 A @DC-Buchse 5.5/2.1 mm . Betriebstemperatur: -10 .. +60 °C . Maße (LxBxH): 130 x 120 x 59 mm Lieferumfang . Jetson Orin NX 16GB-Modul . reComputer J401-Trägerboard . 128 GB NVMe SSD . aktiver Kühlkörper . Auminiumgehäuse . Software JetPack vorinstalliert Hersteller Informationen & Software https://wiki.seeedstudio.com/reComputer_getting_started/ https://wiki.seeedstudio.com/Jetson-AI-developer-tools/ https://wiki.seeedstudio.com/Lumeo-Jetson-Getting-Started/ https://wiki.seeedstudio.com/CVEDIA-Jetson-Getting-Started/ https://wiki.seeedstudio.com/YOLOv5-Object-Detection-Jetson/ https://developer.nvidia.com/embedded/develop/software https://developer.nvidia.com/deepstream-sdk https://developer.nvidia.com/tao-toolkit Hinweis . Lieferung ohne WLAN/BT Adapter! . ohne Netzteil, siehe "Zubehör & Alternativprodukte"

AI Edge Computing Development Package B, based on Jetson Orin NX Module. With JETSON-IO-BASE-B base board, more rich interfaces such as M.2, HDMI and USB are provided to facilitate users to better play the product performance Package B consists of Jetson Orin NX 16GB core board, JETSON-IO-BASE-B baseboard, integrated heat sink, 256GB solid state hard disk, dual-band wireless network card module, USB cable, network cable and power supply, 8 megapixel (3280 × 2464) High definition camera, 13.3inch 1920 x 1080 resolution capacitive touch screen with case (support 10-point touch), which can be used to display the captured image in real time and realize more human-computer interactive AI operation The Orin NX core board in this kit is a 16GB memory version without built-in memory module, which can provide AI performance of up to 100 TOPS(Jetson Xavier NX is 21 TOPS). With 256 GB solid state hard disk, it supports high-speed read and write, and can meet the needs of large AI development projects This kit is also pre-installed with dual-band wireless network card module, supporting Bluetooth 5.0, dual-band WIFI, and equipped with PCB antenna, providing high-speed and reliable wireless network connection and Bluetooth communication function for the kit Note: Jetson Orin NX module only supports HDMI interface signal output on the base board, DP interface is not supported

AI Edge Computing Development Package A, based on Jetson Orin NX Module. With JETSON-IO-BASE-B base board, more rich interfaces such as M.2, HDMI and USB are provided to facilitate users to better play the product performance Package A consists of Jetson Orin NX 16GB core board, JETSON-IO-BASE-B baseboard, integrated heat sink, 256GB solid state hard disk, dual-band wireless network card module, USB cable, network cable and power supply, 8 megapixel (3280 × 2464) High definition camera, suitable for artificial intelligence applications such as face recognition, road marking line recognition and license plate recognition The Orin NX core board in this kit is a 16GB memory version without built-in memory module, which can provide AI performance of up to 100 TOPS(Jetson Xavier NX is 21 TOPS). With 256 GB solid state hard disk, it supports high-speed read and write, and can meet the needs of large AI development projects This kit is also pre-installed with dual-band wireless network card module, supporting Bluetooth 5.0, dual-band WIFI, and equipped with PCB antenna, providing high-speed and reliable wireless network connection and Bluetooth communication function for the kit Note: Jetson Orin NX module only supports HDMI interface signal output on the base board, DP interface is not supported

Providing rich peripheral interfaces such as M.2, HDMI, USB, etc., which is more convenient for users to realize the product performance. This kit includes the Orin NX Module with 16GB memory, no built-in storage module, provides up to 100 TOPS AI Performance. Comes with a Free 256 GB NVMe Solid State Drive, high-speed reading and writing, meet the needs of large AI project development. The kit comes with a pre-installed AW-CB375NF wireless network card that supports Bluetooth 5.0 and dual-band WIFI, with two additional PCB antennas, for providing high-speed and reliable wireless network connection and Bluetooth communication. Note: Jetson Orin NX module only supports HDMI interface signal output on this base board, DP interface is not supported. Note:The pictures of the Solid State Drive for reference only, the actual appearance of the Solid State Drive may be different.

【Ackermann Steering Structure】The Rosmaster R2 robot car adopts the steering method of modern cars and adopts an aluminum Ackermann chassis structure. When the robot car turns, the angle of the inner ring is different, and the turning radius of the inner tube is smaller than the turning radius of the tire, which can maximize the performance of the robot car. R2 is compatible with ROS&ROS2, and Yahboom provides relevant ROS2 system programming information. 【Rosmaster R2 has 3 versions (standard version, deluxe version, ultimate version)】It can be used with 4 development boards (Raspberry Pi 5, Jetson Nano 4GB, Jetson Orin Nano SUPER, Jetson Orin NX SUPER), depending on the version you choose. Please note that a development board is included. If you would like to reduce the amount of hardware in your kit (e.g. depth camera, ridar, etc.), please contact Yahboom first. 【Based on robot operating system】is equipped with high-performance hardware such as lidar, depth camera, and voice interaction module. It can realize applications such as robot motion control, remote communication control, measurement navigation, obstacle tracking, automatic driving, human body feature action recognition, and voice alternating control. Yahboom provides tutorials, source code and professional technical support. All documentation,including installation instructions is English. 【Multi-platform linkage】Supports multiple remote control methods. For example, mobile applications, steering wheels, ROS systems, computer keyboards, etc. It is an artificial intelligence robot that listens to your commands. You can control your robot car and import your code at any time. Note: Map navigation app is only compatible with Android phones. 【Excellent hardware configuration】Aluminum alloy body, 360° omnidirectional Mecanum wheel, optional lidar, high-quality depth camera, optional voice interaction module, professionally designed expansion board. Support more development. Provide professionals with exploration models, learning algorithms, acquisition of unknown area terrain, deep learning AI visual recognition, research on autonomous driving, exploration of 3D object recognition, etc.

[Embodied Intelligent Experience] The ROSMASTER M3 Pro utilizes the ROS2 system and the latest inference architecture to deliver a superior user experience. It can perceive and analyze its surroundings, interact with users via voice, and supports free interruption. Users do not need to issue specific voice commands; the robot automatically understands and executes their needs perfectly. [Large-Scale AI Model and OpenClaw Deployment Enablement] The M3 Pro is based on OpenRouter and employs an interactive system centered around three AI models. It supports the deployment of large-scale multimodal AI models, including online access and local offline deployment. Deep integration enables remote voice and text commands, autonomous task decomposition, intelligent decision-making, and complex task execution. [High-Performance AI Robot] The M3 PRO is equipped with six intelligent serial bus servo motors, a 3D binocular depth camera, a built-in large-scale AI model voice module, and a large-scale multimodal AI model, enabling various applications including 3D spatial grasping, target tracking, object classification, scene understanding, and voice control. [Version Notes] The ROSMASTER M3 Pro comes in 12 versions: one with a 7-inch IPS touchscreen, and another without. Each version is further divided into 6 different main control chips: Orin NX 16GB / Orin NX 8GB / Orin Nano 8GB / Jetson Nano B01 / Raspberry Pi 16GB / Raspberry Pi 8GB. For efficient robot operation, a high-performance development board is recommended. [Comprehensive Courses] Over 200 course materials help you quickly learn and experience the fun of artificial intelligence. Yahboom's course code is completely open source. If you encounter any technical problems, please contact Yahboom; our technical support team will assist you.

【5 Master Controllers】5 master controllers are available, one of which is for educational robotic arms, which can be seamlessly integrated with the Jetson Nano/Orin Nano SUPER/Orin NX SUPER ecosystem. Built on 5 master controllers and running Ubuntu 22.04, it is an ideal development tool for developing robots and programming. It supports multiple fields such as robot algorithm development and ROS simulation learning. ☆ Orin NX 16GB SUPER version is recommended. 【UR-type mechanical structure】The 7axis collaborative robot developed for user-defined programming has greater flexibility than traditional robotic arms.The smooth body and adaptive gripper have a larger range of motion and can reach more and more precise positioning.Using AI to control its movement and speed, it can achieve millimeter-level positioning and operation.It can work safely with people,is compact, and has many interfaces,making it a collaborative partner on your desktop. 【Programmable&ROS system】Explore the possibilities of RoboFlow,the industrial robot software of elephant robot.Relying on the original Jetson Nano open source ecosystem,Jetcobot provides rich development interfaces, Python driver libraries and built-in ROS environment to make your development easier and faster. It supports multiple programming languages, various software interaction methods and is for a wide range of app. Explore the unlimited potential of this collaborative robot arm. 【AI Vision & Remote Control】Equipped with building blocks and stickers, it can realize recognition, tracking and grabbing actions, fully reflecting the AI ​​characteristics of the robot arm. Equipped with a USB game controller remote control to achieve the best control experience; create a Jupyter Lab page online. 【Tutorials provided】All information and instructions are in English.We provide high-quality technical support services. If you need help, please contact Yahboom.Jetcobot is recommended for individuals with a basic understanding of programming, not for beginners.Considering the threshold of product use,we strongly recommend that you read the instructions carefully before operation.Please pay attention to the power adapters in the list.If you use them interchangeably, they will burn out.