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Robotics
- 【Powered by ESP32 Controller】The xArm-ESP32 open source desktop robotic arm uses the ESP32 open source controller as the main control system and adopts Micro-Python programming. The robotic arm has an expansion interface, and with the sensor expansion package, it can realize intelligent grasping, color sorting and other gameplay.
- 【Supports Multiple Control Methods】The xArm-ESP32 supports three action editing methods: via host computer and mobile phone app, as well as PS2 handle, synchronous teaching device, and other six control methods. Additionally, these robotic arms can be wirelessly controlled via Bluetooth, offering ease of operation and endless enjoyment.
- 【Inverse Kinematics Algorithm】We have provided a comprehensive analysis of the xArm ESP32 inverse kinematics, enabling you to thoroughly understand the operational logic of the robot arm.
- 【Intelligent Bus Servo, Powerful Power Core】The xArm-ESP32 employs intelligent serial bus servos that offer high accuracy and precise data feedback. Its wiring is simplified to reduce friction between the wires and brackets. The base servo has been upgraded to one with a torque of 25KG, enabling the robot arm to lift objects weighing up to 500g while maintaining smooth motion.
- 【RPi AI Humanoid Robot】Ideal for research in motion control, machine vision, OpenCV, deep learning, and more.
- 【AI Vision for Infinite Creativity】Feature a wide-angle HD camera and use OpenCV for various AI vision applications such as transportation.
- 【Flexible Control Methods and FPV Live Feed】Enjoy remote control of robot movements and access a live camera feed for first person view.
- 【Upgraded Gait Algorithm】TonyPi Pro's advanced gait algorithm, combined with AI vision, enables a wide range of AI games and automatic gait adjustments.
- 【Hand Expansion, Automated Gait Switching】Movable robot hands for enhanced task flexibility.
- 【Expandable Sensors】Integrate various modules like ultrasonic sensors, MP3, touch sensors, and more to adapt TonyPi Pro to diverse AI scenarios.
- 【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.
- Compatible with STM32 programming
- Provide source codes and schematic
- With built-in ultrasonic, sound, acceleration and line follower sensor
- Support handle, APP, robot synchronization controller and Wireless Glove control
- 【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.
Hiwonder
Hiwonder Synchronization Controller for Robot with Bluetooth Communication Arduino Programming Real-time Control
- Open-source code and schematic
- Serial bus design for neat wiring
- Bluetooth communication for real-time control
- Synchronize the action of LeArm, xArm 1S and Tankbot
- Material: Hard aluminum alloy
- Maximum opening distance:230mm
- Product size:136*57*60mm
- Product weight:190g(Including servo)
- Installed on robot or smart car
- Picking up items steadily and firmly
- Maximum opening distance reaches 54mm
- Compatible with various standard size servos
- Made of hard aluminum alloy and durable
- Applied to robotic arm and robot
- Grab the objects steadily and firmly
- Maximum opening distance reaches 55mm
- Simple structure for quick installation
- The ratio of the motor is 1:120
- The maximum load is 1500g
- Powered by Raspberry Pi 4B/5 controller
- Support AI vision games
- Equipped with HD camera for realistic remote control
- Phone App and VNC remote desktop control
- Provide Python source code
- Not assembled. Detailed tutorials are provided
Hiwonder
Track Chassis/ Suspension Shock Absorption Full-Metal Tank Robot Encoder Motor/ Smart Car Chassis
- 【High-quality vibration reduction effect】The chassis incorporates an 8-channel high-elasticity carbon steel tension spring and is equipped with micro bearings, ensuring agile maneuverability across diverse terrains.
- 【Strong robot tank bracket】The main body is crafted from aluminum alloy and undergoes an anodized surface treatment, resulting in an exquisite appearance.The top layer can be easily removed,facilitating DIY development.
- 【More extended functions】Bracket contain multiple expansion ports and are fully compatible with popular controllers on the market such as Jetson Nano, Raspberry Pi, Arduino ect. You also can add multiple sensors and servos to create your robot.
- 【Application】This it is perfect for hobbyists, educational, competitions and research projects. Many schools or education departments choose this car chassis for school students to learn AI robot knowledge.
- 【Version Difference】The standard version is a single layer Track chassis; The advanced version is the double layer Track chassis.
- Mecanum wheel chassis car kit use the latest mecanum wheels for movement. The 4WD mecanum wheel car chassis is universal wheel, it can move in any direction. And works well for marrow spaces and rough group.
- Mecanum wheel chassis car kit with four TT motors, the ratio of the motor is 1:120, output voltage 3-6V and output 120-240RPM. Compared with the ordinary car, the torque is stronger, and the load capacity is greater!
- Mecanum wheel chassis car contains the aluminum alloy brackets, size: 180 * 140 * 89MM can load 1500g. The mecanum wheel is made of high hardness plastic, with low noise, not easy to damage and deformation, and longer service life.
- Mecanum wheel chassis car is DIY kit, and suitable for robot lovers.At the same time, it can expand electronic system such as Raspberry Pi or Arduino to achieve more creativity.
Accessory
Hiwonder Mecanum Wheel Chassis Car Kit with TT Motor, Aluminum Alloy Frame, Smart Car Kit for DIY Education Robot Car Kit
- Use the latest mecanum wheels for movement
- The ratio of the motor is 1:120
- Size: 180 * 140 * 89MM can load 1500g
- Mecanum wheel chassis car is DIY kit, and suitable for robot lovers
- Raspberry Pi 4B is included
- Raspberry Pi extension kit ONLY, robot arm is NOT included
- Upgrade xArm 1S robotic arm to AI vision function
- Provide Python source code and detailed tutorials
- Support PC software, phone App and VNC control
- HD camera, built-in ROS with MoveIt! and inverse kinematics
- 【ROS Robot Arm Powered by Raspberry Pi】ArmPi FPV is an open-source AI robot arm based on Robot Operating System and powered by Raspberry Pi. Loaded with high-performance intelligent servos and AI camera, and programmable using Python, it is capable of vision recognition and gripping.
- 【AI Vision Recognition and Tracking】A HD wide-angle camera is positioned at the end of ArmPi FPV, providing real-time First-Person View (FPV) transmission with a resolution of 100W pixels. By processing images with OpenCV, it can recognize color, tag and human face, opening up a wide range of AI applications, such as color sorting, target tracking, intelligent stacking and face detection.
- 【Inverse Kinematics Algorithm】ArmPi FPV employs an inverse kinematics algorithm, enabling precise target tracking and gripping within. It also provides detailed analysis on inverse kinematics, DH model, and offers the source code for the inverse kinematics function.
- 【Robot Control Across Platforms】ArmPi FPV provides multiple control methods, like WonderPi app (compatible with iOS and Android system), wireless handle, mouse, PC software and Robot Operating System, allowing you to control the robot at will.
- 【Abundant AI Applications】Guided by intelligent vision, ArmPi FPV excels in executing functions such as stocking in, stocking out, and stock transfer, realizing integration into Industry 4.0 environments.
