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- 【Comprehensiveness】 The IoT system encompasses light sensors, raindrop sensors, ultrasonic sensors, and WiFi modules, providing you with the opportunity to understand the fundamental principles of sensors and wireless communication.
- 【Interactivity】 The IoT system simulates scenarios and integrates with practical use cases to vividly demonstrate its effectiveness.
- 【Practicality】 This kit provides a hands-on opportunity to comprehend the operational logic of sensors and data processing. Extensive tutorials are available to help you become proficient in IoT and sensor technology.
- 【Flexibility】 Utilizing micro:bit, the IoT system can be expanded with diverse functions, enhancing your capacity for technological innovation and problem-solving.
- 【Official Jetson Nano Orin Module】Utilizes the NVIDIA Jetson Orin Nano 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
RRC Lite Controller with Built-in STM32 Chip, Supports Raspberry Pi 5 Power Supply Protocol, Integrated IMU, 4-Channel Encoder Motor Ports, Servo Ports, and USB
- 【High-Performance Main Control Chip】Powered by the STM32F407VET6 chip with a Cortex-M4 core, offering a maximum clock speed of 168MHz for robust performance.
- 【Support PD Fast-Charging】 Integrated PD fast-charging chip compatible with Raspberry Pi 5 power supply protocol, ensuring stable and continuous power for extended operation.
- 【Integrated IMU Pose Sensor】Features a high-precision IMU sensor for real-time pose detection and feedback, ideal for applications in robotic balance and navigation.
- 【Abundant Peripheral Interfaces】Includes 4-channel encoder motor ports, servo ports, USB serial ports, and more, enabling flexible control of multiple peripherals.
Hiwonder
uHand UNO Open Source AI Bionic Robot Hand Support Somatosensory Control, Arduino Programming
- 【Arduino Programming, Open Source】uHand UNO is built on the Atmega328 platform and is compatible with Arduino programming. The programs for uHand UNO are open-source, and learning tutorials and secondary development examples are available, making it easier for you to develop your robotic hand.
- 【High Performance, Support Sensor Expansion】 uHand UNO is equipped with a 6-channel knob controller, Bluetooth module, 6 anti-blocking servos, and other high-performance hardware. Moreover, it provides multiple expansion ports for sensor integration, including ESP32 Cam, accelerometer, touch sensor, glowy ultrasonic sensor, etc., empowering users to engage in secondary development for sonic ranging and pose control capabilities.
- 【Versatile Control Options】uHand UNO supports both app control and wireless glove control. Users can utilize knob potentiometers for real-time knob control and offline action editing.
- 【Arduino Programming, Open Source】miniArm is built on the Atmega328 platform and is compatible with Arduino programming. The programs for miniArm are open-source, and learning tutorials and secondary development examples are available, making it easier for you to develop your robotic hand.
- 【High Performance Hardware, Support Sensor Expansion】 miniArm is equipped with a 6-channel knob controller, Bluetooth module, high-precision digital servos, and other high-performance hardware. Moreover, it provides multiple expansion ports for sensor integration, including ESP32 Cam, accelerometer, touch sensor, glowy ultrasonic sensor, etc., empowering users to engage in secondary development for sonic ranging and pose control capabilities.
- 【Versatile Control Options】miniArm supports app control, and users can utilize knob potentiometers for real-time knob control and offline action editing.
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Hiwonder
Hiwonder miniAuto AI Vision Robot Base on Arduino UNO R3 Controller with 360° Omnidirectional Mecanum Wheels, Supports Arduino Programming
- 【Compatible with Arduino】 Integrating an Arduino UNO R3 main controller and an expansion board, this system is fully compatible with the Arduino programming environment, offering ample expansion ports for secondary development.
- 【Vision Recognition & Tracking】 Equipped with an ESP32-S3 vision module, miniAuto supports WiFi video transmission and enables applications such as vision line following, face recognition, and color tracking.
- 【360° Omnidirectional Movement】 With Mecanum wheels, miniAuto can move in any direction, supporting various motion modes to navigate complex surfaces effortlessly.
- 【Autonomous Driving】 The combination of a 4-channel line follower and the vision module empowers miniAuto to perform line following, crossroad recognition, and traffic light detection, demonstrating its autonomous driving capabilities.
- 【Gripper Expansion】 Expandable with a mechanical gripper, it facilitates object transportation, line following, vision-guided transport, and numerous other creative projects.
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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.
Hiwonder
Hiwonder Autonomous Driving Mapping & Navigation Prop Set for Various Robot Cars (3.26*2.98m)
- Simulates realistic traffic scenes, including parking lots, sidewalks, T-junctions, and other components.
- Made from durable, waterproof material with UV printing technology for an attractive appearance and long-lasting use.
- Includes four traffic signs and one traffic light to enhance interactivity.
- Offers various combination methods to accommodate cars of different heights.
- Ideal for teaching, competitions, and autonomous driving model training.
Hiwonder
Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum-wheel Chassis ROS2-HUMBLE Support SLAM and Autonomous Driving
- 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
- 【Multiple Chassis Configurations】Supports both Mecanum-wheel and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.
- 【High-Performance Hardware】Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.
- 【Advanced AI Capabilities】Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.
- 【Autonomous Driving with Deep Learning】Utilizes YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
Hiwonder
Hiwonder Raspberry Pi 5 Robot Car MentorPi A1 Ackerman Chassis ROS2-HUMBLE Support SLAM and Autonomous Driving
- 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
- 【Multiple Chassis Configurations】Supports both Mecanum-wheel and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.
- 【High-Performance Hardware】Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.
- 【Advanced AI Capabilities】Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.
- 【Autonomous Driving with Deep Learning】Utilizes YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
- Provide ROS2 Compatible Programs
- Image Free Screw Pack
- 【Jetson Orin NX SOM module】Utilizes the official Jetson Orin NX module, providing robust and stable performance.
- 【Custom Carrier Board】We have developed our own carrier board that is compatible with official onboard resources, enhancing power supply and optimizing performance.
- 【Multiple Memory Options】Available in both 8GB and 16GB memory configurations to meet varying requirements.
- 【Comprehensive Accessories】The kit includes a Wi-Fi network card, 258GB SSD, and power supply, making it ready for immediate use.
Hiwonder
Hiwonder Binocular Depth Camera Angstrong Nuwa-HP60C Camera ROS Robot 3D Vision Mapping & Navigation
- 【Advanced 3D Imaging Technology】 Utilizing structured light 3D imaging, the camera delivers highly accurate depth maps for objects within a range of 0.2 to 4 meters, making it ideal for a variety of depth modeling applications.
- 【High-Performance Depth Computing】 The built-in depth computing chip is specifically designed for the robot's obstacle avoidance function, effectively eliminating the need for external computing resources.
- 【Support Various AI Functions】Enables gesture control, action capture, and various other AI functions, making it suitable for a wide range of human-robot interaction scenarios. It offers an efficient solution for robot sensing, obstacle avoidance, and navigation.
- 【Broad Application】Ideal for use in robotics and 3D vision development.
Hiwonder
Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum-wheel Chassis 2DOF Monocular Camera ROS2-HUMBLE Support SLAM and Autonomous Driving
- 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
- 【High-Performance Hardware】Equipped with closed-loop encoder motors, TOF lidar, 2DOF monocular camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.
- 【Advanced AI Capabilities】Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.
- 【Autonomous Driving with Deep Learning】Utilizes YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
Hiwonder
Hiwonder Raspberry Pi 5 Robot Car MentorPi A1 Ackerman Chassis 2DOF Monocular Camera ROS2-HUMBLE Support SLAM and Autonomous Driving
- 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
- 【High-Performance Hardware】Equipped with closed-loop encoder motors, TOF lidar, 2DOF monocular camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.
- 【Advanced AI Capabilities】Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.
- 【Autonomous Driving with Deep Learning】Utilizes YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
Hiwonder
Hiwonder UNO Expansion Board Compatible with Arduino, Supports Motor and Servo Control, Bluetooth Communication, and Sensor Integration, Ideal for Robotic Arm and Robot Car
- 【Compatible with Arduino】Features a standardized interface and unified communication protocol. The Arduino UNO controller can be directly connected to the expansion board without additional wiring.
- 【High-Performance 32-Bit CPU】Equipped with a high-performance 32-bit CPU that supports closed-loop control and current protection, ensuring precise servo control, encoder motor management, and stable voltage regulation.
- 【Comprehensive Peripheral Ports】Includes onboard serial bus servo ports, PWM servo ports, 4-channel encoder motor ports, a Bluetooth communication port, and an I2C expansion port, enabling versatile development and support for various application scenarios.
