Enjoy 10% OFF everything! Orders placed by Jan 25th ship on Feb 4th
Products
- Working voltage is 5V
- Water speed is adjustable
- Cylindrical side diameter is 23mm
- Water pipe is 100cm
- 【Open Source Somatosensory Gloves, Compatible with Arduino】Hiwonder somatosensory gloves are open source bionic robot control gloves, compatible with the Arduino development environment, and support secondary development, allowing you to realize creative robot projects.
- 【Built-in Acceleration Sensor and High-precision Potentiometer】The somatosensory gloves have 5 built-in encoders and 1 acceleration sensor. They transmit data through the built-in Bluetooth module and control your robot as you like.
- Built-in high definition screen
- Dedicated AI Chip Faster Response
- Compatible with Lego blocks
- Available for Hiwonder Microbot robot car
- 【xArm-UNO Unlimited Creativity】xArm UNO consists of the xArm 1S robot arm and a secondary sensor development kit. The xArm 1S is a high-quality desktop robot arm, while the sensor kit includes features such as a glowy ultrasonic sensor, color sensor, touch sensor, and more. By integrating these sensors with the robot arm, users can engage in various activities such as distance-based gripping, color sorting, sound control, and other interesting games.
- 【Equipped with UNO R3, Support Arduino Programming】The kit includes UNO R3 and the UNO R3 expansion board, supporting Arduino programming. Detailed Arduino codes are provided, allowing you to implement a variety of creative functions.
- 【Diverse Control Options】xArm-UNO supports control via PC, app, mouse, and a wireless handle. These features offer a wide range of access points for gaming and learning methods, making it highly suitable for innovative programming ideas and programming learning.
- 【High-Quality Robot Arm】xArm 1S robot arm is constructed from aluminum alloy, equipped with industry-grade bearings, and features 6 high-accuracy and high-torque serial bus servos that provide feedback on position, voltage, and temperature.
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
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.
- Working voltage: DC 5V
- Working current: 40mA
- Effective detection range: 2 ~ 25cm
- 4 Pin wire port. Connecting wire is provided. Easy to connect
- The holes are compatible with LEGO bricks
- Working voltage: DC 5V
- Receiving distance: 10 - 15m
- Receiving angle: ±35°
- 4 Pin wire port. Connecting wire is provided. Easy to connect
- The holes are compatible with LEGO bricks
- 21 keys micro-remote controller
- Powered by CR2025 battery
- Support Hiwonder Qbot, Qbit, Spiderbot, Tonybot and xArm2.0
Hiwonder
JetAcker ROS1 ROS2 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 ROS1&ROS2, 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.
- 【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
JetAuto Pro ROS1 ROS2 Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python
- 【Smart ROS Robots Driven by AI】 JetAuto Pro 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】JetAuto Pro 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】JetAuto Pro 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.
- 【Far-field Voice Interaction】JetAuto Pro advanced kit incorporates a 6-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, JetAuto Pro can implement voice-controlled gripping and transporting.
- 【Robot Control Across Platforms】JetAuto Pro 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
JetRover ROS1 ROS2 Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python
- 【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.
Sensor Module
Joystick Module: Hiwonder Robot Module Compatible with Arduino/ Raspberry Pi/ Jetson Nano/ micro:bit
- Working voltage: DC 5V
- Port type: 5264-4AW
- Size: 50 x 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: 5mA
- Size: 50 × 20 mm
- 4 Pin wire port. Connecting wire is provided. Easy to connect
- The holes are compatible with LEGO bricks
