Jetson Nano
Hiwonder
ROSPug Quadruped Bionic Robot Dog Powered by Jetson Nano ROS Open Source Python Programming
- 【Driven by Jetson Nano and high-voltage intelligent serial bus servos】ROSPug is a smart quadruped robot dogdruped robot driven by Jetson Nano and built on the Robot Operating System (ROS). It is equipped with 12 high-voltage strong-magnetic intelligent serial bus servos, delivering high-precision performance, rapid rotation speed, and robust torque.
- 【AI Vision, Unlimited Creativity】ROSPug is equipped with an HD wide-angle camera. It utilizes OpenCV library for efficient image processing, enabling a diverse range of AI applications, including target recognition and localization, line following, obstacle avoidance, face detection, ball shooting, color tracking and tag recognition.
- 【Various Control Methods and Live Camera Feed】You can conveniently control ROSPug through WonderROS app available for Android and iOS devices, PC software, or a wireless PS2 handle. Additionally, ROSPug provides a first-person perspective experience by transmitting the live camera feed to the app.
- 【Gait Planning, Free Adjustment】ROSPug incorporates inverse kinematics algorithm offering precise control over the touch time, lift time, and lifted height of each leg. You can easily adjust these parameters to achieve different gaits, including ripple and trot. Additionally, ROSPug provides detailed analysis of inverse kinematics, along with the source code for the inverse kinematics function.
- 【Official Original Core Module】Utilizes the NVIDIA Jetson Orin Nano core module to ensure consistency in performance, onboard resources, and dimensions with the official carrier board.
- 【Custom Carrier Board Optimization】The Hiwonder custom carrier board optimizes 2 CSI camera interfaces and 1 HDMI interface, enhancing user experience.
- 【Enhanced Safety Protection】Added DC power input reverse polarity protection and USB interface overcurrent protection for increased safety.
Hiwonder
ROS Robot Control Board with STM32F407VET6 Chip, Supports 4-Channel Encoder Motor, PWM Servos, and Bus Servo Control, Compatible with JETSON, Raspberry Pi
- 【High-Performance Main Control Chip】Features the STM32F407VET6 chip with a Cortex-M4 core, 168MHz clock speed, built-in FPU, and Murata crystal oscillator, ensuring stable performance and rapid processing.
- 【Comprehensive Circuit Protection】Equipped with safeguards against reverse polarity, overcurrent, overheating, and backflow, protecting the device from damage during operation.
- 【Versatile Signal Input Support】 Includes interfaces for color display, USB, SBUS, I2C, and Bluetooth, supporting a wide range of control methods.
- 【Strong Expandability】Capable of controlling 4-channel encoder motors, PWM servos, and bus servos, making it suitable for various robotic and mechanical arm applications.
- 【Wide Compatibility】 Compatible with multiple ROS controllers, such as Raspberry Pi and JETSON, providing robust compatibility.
Hiwonder
miniROS Robot Controller STM32 Chip 6-14V Voltage Support Encoder Motor Bus Servo Independent Power Supply System
- 【High-Performance Chip】Equipped with the STM32F407 chip and integrated IMU sensor, ensuring precise control and posture recognition.
- 【Rich Interface Configuration】Onboard four encoder motor interfaces, four bus servo interfaces, and more, meeting diverse connection needs.
- 【Independent Power Supply System】The power supply system includes an independent switch, providing stable 5V and 12V voltage outputs to ensure reliable operation.
- 【Compatible with Multiple Controllers】Compatible with Raspberry Pi, JETSON and other ROS controllers.
- USB hub supports power supply from 5V USB-C standard data ports and 9-24V (3PIN) power supply from external devices, ensuring normal power supply to external USB devices.
- Suitable for ROS robots, robot cars, Raspberry Pi/Jetson series controllers, PCs, and other host devices, it is compatible with Win7/8/10, Linux, Ubuntu, and MacOS systems.
- With plug-and-play functionality and no need for drivers, it employs a high-performance controller chip, delivering stable performance across various robot development scenarios.
- Compared with the entry-level Jetson Nano B01, Jetson Orin Nano interface resources are optimized and upgraded, and the performance is improved by 40~80 times. It is more suitable for users who need to learn artificial intelligence in depth or create difficult projects.
- Pre-installed with the 8265AC NGW dual-band WIFI Bluetooth network module, with antennas built-in.
- The core module of Jetson Orin Nano does not feature eMMC storage, so it is necessary to either install NVME SSD or utilize an SD card for storage. However, Hiwonder's development kit comes with a 256GB SSD, and the system image has been burned pre-flashed, ensuring immediate usability upon receipt.
- High Performance SPAD Chip
- Support ROS1/ROS2
- 12m Ranging Range
- Compatible with Raspberry Pi/ Jeston and other controllers
Hiwonder
USB Wide-angle Camera Jetson Nano Raspberry Pi 5 Driver-free Smart Car ROS Robot Vision Module
- HD wide angle camera
- Compatible with a variety of controllers
- 70°-170° field of view
- 480P-1080P resolution
Hiwonder
iFLYTEK Far-Field Microphone Array Module ROS Six-Microphone Voice Board 6-Microphone Sound Source Positioning Navigation
- Real-time Translation
- Sound Source Localization
- Support ROS
- TTS (Text to Speech)
- Offline Voice Recognition
- Echo Cancellation
- Audio Noise Reduction
- Indoor and outdoor availability
- Support ROS1/ROS2
- Binocular structured light
- Small measurement blind spot
- Support Raspberry Pi/ JETSON/ Windows
- 【Driven by AI, powered by Jetson Nano】JetArm is a desktop-level AI vision robot arm developed for ROS education scenarios. It supports Python programming, uses deep learning frameworks, and is developed in conjunction with MediaPipe to implement AI creative projects such as object image recognition, somatosensory control, and voice interaction.
- 【High-performance Vision Robot Arm】JetArm includes a 6DOF vision robot arm, featuring intelligent serial bus servos with a torque of 35KG. An HD camera is positioned at the end of robot arm, which provides a first-person perspective for object gripping tasks.
- 【Depth Point Cloud, 3D Scene Flexible Grabbing】JetArm is equipped with a high-performance 3D depth camera. Based on the RGB data, position coordinates and depth information of the target, combined with RGB+D fusion detection, it can realize free grabbing in 3D scene and other AI projects.
- 【Far-field Voice Interaction】JetArm 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, JetArm can implement voice-controlled gripping and transporting.
- 【Robot Control Across Platforms】JetArm 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.
Hiwonder
WonderMV Vision Recognition Module AI Intelligent Camera Python Development Board CanMV Sensor
- 【Artifncial Intelligence, Powerful Computing Power】WonderMV open source vision module is a powerful and cost-effective Al vision module. It is developed based on the K210 chip and supports 12 AI vision items such as color recognition, road sign recognition, vision line following, face recognition, mask recognition, and tag recognition function.
- 【Compatible with Various Controllers】WonderMV vision module is equipped with a serial interface and can be used with various controllers such as STM32, Raspberry Pi, Arduino, Micro:bit, etc. Users can easily output vision recognition results to an external controller through the serial port, without the need to delve into complex vision algorithms, making it easy to create creative AI projects.
Hiwonder
GPS Beidou Positioning Module BD Dual-Mode Satellite Navigation IMU Inertial Navigation Sensor for ROS1/ROS2 Robot
- 【High-performance】Hiwonder's GPS module is a high- performance GNSS positioning and navigation module based on ATGM336H-5N, offering positioning accuracy of < 2.5 meters. It has the advantages of Small size, low cost, high sensitivity, low power consumption and user-friendly operation.
- 【Supports intergrated positioning, navigation and timing functions】This module supports Beidou-2 and Beidou-3 (B11and B1C), GALILEO, GPS/QZSS/SBAS, GLONASS, and other satellite navigation systems. In addition, it can simultaneously receive signals from multiple satellite navigation systems, enabling integrated positioning,navigation,and timing functions.
- 【Provide rich tutorial materials】Hiwonder provides a wealth of tutorial materials, such as PC software, operating instructions, development manuals, development codes, etc.
Hiwonder
IMU Inertial Navigation Module ROS1/ROS2 Robot MEMS USB Magnetometer 10-axis ARHS Posture Sensor
- 【High-performance three-dimensional motion and posture measurement system】The IM10A inertial navigation module includes a 3-axis electronic gyroscope + 3-axis accelerometer + 3-axis magnetometer + barometer (angle + altitude), combined with a high-dynamic Kalman filter fusion algorithm to provide users with high-precision, high-dynamic, real-time compensation 3-axis posture angle data.
- 【Rich data output】The IM10A inertial navigation module can output Euler angles (Roll, Pitch, Yaw), quaternions, position, speed, acceleration, angular velocity, and magnetic field vectors. It can provide output frequency up to 200Hz in real time, thus greatly reducing the research and development time for various needs.
- 【Supports multiple communication methods】 Supports USB/UART/I2C communication methods, is more efficient and compatible with Raspberry Pi, STM32, and Jetson series development boards, providing more development possibilities for DIY makers.
- 【Provide rich tutorial materials】 Hiwonder provides a wealth of tutorial materials, such as PC software, operating instructions, development manuals, development codes, source codes, etc.
Hiwonder
JetAcker ROS Education Robot Car with Ackerman Structure Powered by Jetson Nano Autonomous Driving SLAM Mapping Navigation Learning Teaching Kit
- 【Classic Ackermann Steering Structure】JetAcker is built upon an Ackermann chassis providing an opportunity to learn and validate robots based on the Ackermann steering structure.
- 【Dive in AI Algorithm】JetAcker runs on NVIDIA Jetson Nano, supports ROS, utilizes deep learning frameworks, MediaPipe, YOLO training, and TensorRT acceleration for diverse 3D machine vision applications.
- 【SLAM Development and Diverse Configuration】JetAcker is equipped with a 3D depth camera and Lidar, enabling remote communication, precise 2D mapping navigation, TEB path planning, and dynamic obstacle avoidance.
- 【High-performance Hardware Configurations】JetAcker features an aluminum alloy bracket, CNC steering, and a range of hardware: 100mm rubber wheels, 520 Hall encoder motors, Lidar, ORBBEC Astra Pro Plus camera, 240° pan-tilt, multi-functional expansion board, motor driver, and 11.1V 6000mAh Lipo battery.
- 【Robot Control Across Platforms】JetAcker provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard.
- USB3.0 high-speed transmission up to 5120Mbps
- No driver required, plug and play
- Compatible with Win7/8/10, Linux, MacOS and Ubuntu
- Applicable to ROS robot/car, Raspberry Pi and Jetson series boards
- Support various peripherals connection