hiwonder
- Powered by Raspberry Pi 4B and support Python programming
- Work with OpenCV to realize AI vision recognition and tracking
- Right hand and left hand are available
- Open-source code and detailed tutorials are provided
- Open schematic and source code
- Make robot control direct and interesting
- Compatible with Arduino development environment
- With built-in Bluetooth and gyroscope acceleration sensor
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.
Hiwonder
JetAcker ROS Education Robot Car with Ackerman Structure Powered by Jetson Nano B01 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 B01, 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.
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- 【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 ROS 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 B01 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 5DOF 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 ROS Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python
- 【Smart ROS Robots Driven by AI】 JetRover is a professional robotic platform for ROS learning and development, 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.
- 【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.
Hiwonder
LD19 D300 Lidar Developer Kit 360 Degrees DTOF Laser Scanner Support ROS1 ROS2 Raspberry Pi Jetson Nano
- 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
Hiwonder
MasterPi Hiwonder AI Vision Robot Arm with Mecanum Wheels Car Powered by Raspberry Pi Open Source Robot Car
- 【RPi AI Vision Robot】Support Python programming. Built on a Mecanum-wheel chassis, high-quality metal gear servos and HD camera.
- 【Vision Robot Arm】5DOF robot arm and HD camera to locate and pick items.
- 【360° Omnidirectional Movement】Advanced omnidirectional Mecanum wheels enable flexible 360° motion.
- 【App Remote Control】 MasterPi offers ultimate control over its motion, gripping, and transportation with a dedicated app.
- 【Extensive Tutorials】Access detailed guides on motion control, AI vision, PC software programming, OpenCV, and more.
Hiwonder
Mecanum Omnidirectional Wheel, Metal Coupling Motor, ROS Robot Universal Wheel, Smart Car Tire
- Racing Wheel
- Mecanum Wheel
Hiwonder
NVIDIA HD Camera 160° 800W Pixel IMX219 CSI Interface Compatible with JETSON NANO/Xavier NX/TX2 NX
- Use Sony IMX219 chip and CSI interface
- 160° field of angle and 800W pixels
- Compatible with Jetson Nano 2GB/4GB (B01/ALT)/ Jetson Xavier NX (B01/ALT)/ Jetson TX2-NX
- Free camera acrylic holder is provided
Hiwonder
NVIDIA JETSON NANO B01 Development Board 4GB Core Module Kit AI Artificial Intelligence ROS Main Controller
- Jetson Nano B01 can parallelize multiple neural network, object detection, segmentation and speech processing applications.
- Jetson Nano B01 is equipped with a quad-core CORTEX-A57 processor, 128-core MAXWELL GPU and 4GB LPDDR memory, which brings sufficient AI computing power, can provide 472GFLOP, and supports a series of popular AI frameworks and algorithms, such as TENSORFLOW, PYTORCH, CAFFE /CAFFE2, KERAS, MXNET, etc.
- 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
- Indoor and outdoor availability
- Support ROS1/ROS2
- Binocular structured light
- Small measurement blind spot
- Support Raspberry Pi/ JETSON/ Windows