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Jetson Nano

Showing 33 - 48 of 56 items
  • Support 5G/2.4G dual-band WiFi
  • Support Bluetooth and WiFi dual modes
  • Plug to use without driver
  • Transmission speed up to 867M
  • Compatible with Jetson Nano 4GB
$23.99

Hiwonder

  • Long service time of 10000h
  • 30000lux resistance to strong light 
  • Distance measurement up to 12m radius
  • 360° all-round laser scanning
  • Compatible with ROS1 and ROS2 systems
$89.99

Hiwonder

  • 【Support ROS1 and ROS2 configuration】JetRover is compatible with ROS1 and ROS2. The main control solution has been upgraded to support three main control solutions: Raspberry Pi 5, Jetson Nano, and Jetson Orin Nano. Users can choose the adaptation solution according to their own needs.
  • 【Smart ROS Robots Driven by AI】 JetRover is a professional robotic platform for ROS learning and development, powered by NVIDIA Jetson Nano and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training.
  • 【SLAM Development and Diverse Configuration】JetRover is equipped with a powerful combination of a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance.
  • 【High-performance Vision Robot Arm】JetRover includes a 6DOF vision robot arm, featuring intelligent serial bus servos with a torque of 35KG. A HD camera is positioned at the end of robot arm, which provides a first-person perspective for object grabbing tasks.
  • 【Far-field Voice Interaction】JetRover ultimate kit incorporates a circular microphone array and speaker allowing for man-robot interaction applications, including Text to Speech conversion, 360° sound source localization, voice-controlled mapping navigation, etc. Integrated with vision robot arm, JetRover can implement voice-controlled grabbing and transporting.
  • 【Robot Control Across Platforms】JetRover provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will.
  • 【Smart ROS Robots Driven by AI】JetAuto supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration. This combination delivers a diverse range of 3D machine vision applications, including autonomous driving, human feature recognition, and KCF target tracking.
  • 【SLAM Development and Diverse Configuration】JetAuto is equipped with a powerful combination of a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto, cartographer and RRT, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.
  • 【Far-field Voice Interaction】JetAuto advanced kit incorporates a 6-microphone array and speaker allowing for fascinating man-robot interaction applications, including Text to Speech conversion, voice wake-up, 360° sound source localization, offline voice recognition, voice-controlled mapping navigation, etc.
  • 【Robot Control Across Platforms】JetAuto provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will. By importing corresponding codes, you can command JetAuto to perform specific actions. Please note that navigation app is exclusively available for Android system.
  • Working voltage: DC 5V
  • Max working current: 125mA
  • Size: 48mm×48mm
  • 4 Pin wire port. Connecting wire is provided. Easy to connect
  • The holes are compatible with LEGO bricks
  • 【Powered by NVIDIA Jetson Nano】JetHexa is a hexapod robot powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration.
  • 【SLAM Development and AI Application】Equipped with a 3D depth camera and Lidar, it achieves precise 2D mapping, multi-point navigation, TEB path planning, Lidar tracking, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.
  • 【Inverse Kinematics Algorithm】JetHexa can switch between tripod gait and ripple gait flexibly. It employs an inverse kinematics algorithm, allowing it to perform "moonwalking" with fixed speed and height. Furthermore, JetHexa allows for adjustable pitch angle, roll angle, direction, speed, height, and stride, giving you complete control over its movements. With self-balancing function, JetHexa can conquer complex terrains with ease.
  • 【Robot Control Across Platforms】JetHexa provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will. By importing corresponding codes, you can command JetHexa to perform specific actions.
  • 【Driven by AI, Powered by NVIDIA Jetson Nano】JetMax is an open source AI robotic arm developed based on ROS. It is based on the Jetson Nano control system, supports Python programming, adopts mainstream deep learning frameworks, and can realize a variety of AI artificial intelligence applications.
  • 【AI Vision, Deep Learning】The end of JetMax is equipped with a high-definition camera, which can realize FPV video transmission. Image processing through OpenCV can recognize colors, faces, gestures, etc. Through deep learning, JetMax can realize image recognition and item handling.
  • 【Inverse Kinematics Algorithm】JetMax uses an inverse kinematics algorithm to accurately track, grab, sort and palletize target items in the field of view. Hiwonder will provide inverse kinematics analysis courses, connected coordinate system DH model and inverse kinematics function source code.
  • 【Multiple Expansion Methods】You can purchase additional McNamee wheel chassis or slide rails to expand your JetMax, expand the range of motion of JetMax, and do more interesting AI projects.
  • 【Detailed Course Materials and Professional After-sales Service】We provide 200+ courses and provide online technical assistance (China time) to help you learn JetMax more efficiently! Course content includes: introduction to the use of JetMax, ROS and OpenCV series courses, AI deep learning courses, inverse kinematics courses, action group editing teaching courses, and creative gameplay courses. Note: Hiwonder only provides technical assistance for existing courses, and more in-depth development needs to be completed by customers themselves.
  • Support Raspberry Pi 4B/3B
  • Support Jetson Nano
  • 16GB/32GB/64GB/ Jetson Nano
  • Used for Raspberry Pi 4B
  • Micro-HDMI to HDMI transfer cable
  • Pay attention to the direction of the interface
  • Working voltage: DC 5V
  • Temperature measurement range: -40℃ ~ +85℃
  • Humidity measurement range: 0 ~ 99.9%RH
  • 4 Pin wire port. Connecting wire is provided. Easy to connect
  • The holes are compatible with LEGO bricks
  • Support MP3, WAV, WMA format audio
  • Compatible with LEGO
  • Support Fat16 and FAT32 file system
  • Support micro:bit, STM32, Arduino and Raspberry Pi
  • 4-way tracking with high sensitivity
  • 4PIN connector for easy wiring
  • Compatible with LEGO
  • Working voltage: DC 5V
  • Port type: 5264-4AW
  • Size: 50 × 20mm
  • 4 Pin wire port. Connecting wire is provided. Easy to connect
  • The holes are compatible with LEGO bricks
  • Working voltage: DC 5V
  • Working current: 5mA
  • Size: 50 × 20 mm
  • 4 Pin wire port. Connecting wire is provided. Easy to connect
  • The holes are compatible with LEGO bricks
  • Working voltage: DC 5V
  • Working current: 50mA
  • Size: 50 × 20mm
  • 4 Pin wire port. Connecting wire is provided. Easy to connect
  • The holes are compatible with LEGO bricks
  • Working voltage: DC 5V
  • Port type: 5264-4AW
  • Size: 50 × 20mm
  • 4 Pin wire port. Connecting wire is provided. Easy to connect
  • The holes are compatible with LEGO bricks
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