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Showing 145 - 160 of 202 items
  • 【25kg-180°High Torque Servo Motor】This rc servo boasts a maximum torque of 25KG.CM 7.4V, enhanced by its accompanying metal servo arm. Delivering robust power, it is housed within an anodized aluminum case that facilitates excellent heat dissipation and effectively reduces power consumption.
  • 【Superior Quality & High Performance】This digital RC servo comes with metal gear and dual-ball bearings, which are well-made with exceptional performance, stability, and minimal noise output. By integrating a high-precision potentiometer, its accuracy and linearity are greatly enhanced leading to an extended service life.
  • 【Perfect Servo for Model DIY & IP67 Waterproof】It fits 1/6 1/8 1/10 1/12 RC cars, robots, vehicle/boat/airplane models, and any DIY. Crafted with high precision and thorough sealing, this rc servo provides IP67 water resistance, which allows it to operate even in the presence of water splashes.
  • 【Size & Weight】Size: 40*20*40.5mm (1.57*0.8*1.59inch); Weight: 68g (0.15 pound). 【Note】LD-25MG model has been renamed as HPS-2518MG as part of our brand's upgrade.
  • 【Excellent After-sale Service】We value all customer's shopping experiences. If you come across any issues with our products, please don't hesitate to reach out to us, and we will try our best to help within 24 hours. Order today with peace of mind!
$22.99

Hiwonder

  • Large torque: 25kg.cm 7.4V large torque digital servo
  • Metal gear: significantly improves servo’s accuracy and extend its service time
  • 270°Rotation: the rotate angle range is 270° with accurate control
  • Red metal shell: Oxidation metal shell for strong heat dissipation ability
  • Size: 54.5mm x 20mm x 47.5mm(2.15inch*0.79inch*1.87inch);weight: 68g (0.16Ib)
$23.99

Hiwonder

  • 【Powered by NVIDIA Jetson Nano】JetHexa is a hexapod robot 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, and utilizes TensorRT acceleration.
  • 【SLAM Development and AI Application】Equipped with a 3D depth camera and Lidar, it achieves precise 2D mapping, multi-point navigation, TEB path planning, Lidar tracking, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.
  • 【Inverse Kinematics Algorithm】JetHexa can switch between tripod gait and ripple gait flexibly. It employs an inverse kinematics algorithm, allowing it to perform "moonwalking" with fixed speed and height. Furthermore, JetHexa allows for adjustable pitch angle, roll angle, direction, speed, height, and stride, giving you complete control over its movements. With self-balancing function, JetHexa can conquer complex terrains with ease.
  • 【Robot Control Across Platforms】JetHexa 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. By importing corresponding codes, you can command JetHexa to perform specific actions.
  • 【Omni-directional movement, first person view】The chassis is equipped with 4 high-performance encoder geared motors and 4 omni-directional mecanum wheels, ArmPi Pro can realize 360° movement. Combined with HD camera ending in robot arm, it can provide first person view.
  • 【Powerful Control System】RaspberryPi CM4 makes breakthrough in processor speed, multimedia performance, memory and connection. The combination of RaspberryPi 4B and RaspberryPi expansion board significantly enhances ArmPi Pro’s AI performance!
  • 【AI Vision Recognition, Target Tracking】ArmPi Pro takes OpenCV as image processing library and utilizes FPV camera to recognize and locate the target block so as to realize color sorting, target tracking, line following, and other AI games.
  • 【APP Control, FPV Transmitted Image】Android and iOS APP are available for robot remote control. Via the APP, you can control the robot in real time and switch various AI games just by one tap.
  • Working voltage: DC 5V
  • Max working current: 125mA
  • Size: 48mm×48mm
  • 4 Pin wire port. Connecting wire is provided. Easy to connect
  • The holes are compatible with LEGO bricks
  • 【High-quality vibration reduction effect】The track is made of engineering plastic that basically assures the good elasticity, excellent damping effect and large road grip of the product. What’ s more, it adopts high quality strong torque DC motors and supports 6~12V voltage power supply. The high torque of the motor enables the chassis to carry a weight of 5KG.
  • 【Strong robot tank bracket】This agile track chassis is low noise and easy to be controlled. More variety of brackets are included to make the assembly more secure.The top bracket can be disassembled at will, so that you can achieve more expansion.
  • 【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.
  • 【Assembled yourself】The kit is unassembled, you can get it done by yourself and enjoy fun of DIY. But we provide detailed video for you to complete the assembly!
  • 【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.
  • 【High-quality vibration reduction effect】The track is made of engineering plastic that basically assures the good elasticity, excellent damping effect and large road grip of the product. What’ s more, it adopts high quality strong torque DC motors and supports 6~12V voltage power supply. The high torque of the motor enables the chassis to carry a weight of 5KG.
  • 【Strong robot tank bracket】This agile track chassis is low noise and easy to be controlled. More variety of brackets are included to make the assembly more secure.The top bracket can be disassembled at will, so that you can achieve more expansion.
  • 【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.
  • 【Assembled yourself】The kit is unassembled, you can get it done by yourself and enjoy fun of DIY. But we provide detailed video for you to complete the assembly!
  • 【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.
  • 【Smart ROS Robots Driven by AI】JetAuto is 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, and utilizes TensorRT acceleration. This combination delivers a diverse range of 3D machine vision applications, including autonomous driving, human feature recognition, and KCF target tracking.
  • 【SLAM Development and Diverse Configuration】JetAuto 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, cartographer and RRT, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.JetAuto offers two Lidar options: SLAMTEC A1 and EAI G4 (advanced).
  • 【Far-field Voice Interaction】JetAuto advanced kit incorporates a 6-microphone array and speaker allowing for fascinating man-robot interaction applications, including Text to Speech conversion, voice wake-up, 360° sound source localization, offline voice recognition, voice-controlled mapping navigation, etc.
  • 【Robot Control Across Platforms】JetAuto 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. By importing corresponding codes, you can command JetAuto to perform specific actions. Please note that navigation app is exclusively available for Android system.
  • Metal gear for higher accuracy and stronger torque
  • Support temperature, voltage and position feedback
  • Two working modes: servo mode and gear motor mode
  • Provide 51, Arduino, STM32, Raspberry Pi source code
  • Metal gear for higher accuracy and stronger torque
  • Support temperature, voltage and position feedback
  • Two working modes: servo mode and gear motor mode
  • Provide 51, Arduino, STM32, Raspberry Pi source code
  • Three connectors for clean wiring
  • High precision and strong torque
  • With real-time temperature, voltage and position feedback
  • Provide 51, Arduino, STM32 and Raspberry Pi control source code
  • 【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.
  • 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
$89.90

Hiwonder

  • Support 5G/2.4G dual-band WiFi
  • Support Bluetooth and WiFi dual modes
  • Plug to use without driver
  • Transmission speed up to 867M
  • Compatible with Jetson Nano 4GB (A02/B01/ATL)
$23.99

Hiwonder

  • 【AI Vision Robot Powered by Raspberry Pi】ArmPi mini is a smart vision robot arm powered by Raspberry Pi. It adopts high-performance intelligent servos and HD camera, and can be programmed in Python. With its impressive capabilities, ArmPi mini unlocks diverse AI applications, such as smart vision-guided recognition and grasping.
  • 【AI Vision Recognition and Tracking】ArmPi mini combines a HD camera and OpenCV library to recognize and locate target objects, enabling the implementation of AI applications like color sorting, target tracking and intelligent stacking.
  • 【Inverse Kinematics Algorithm】ArmPi mini employs an inverse kinematics algorithm, enabling precise target tracking and gripping. It also provides complete source code for the inverse kinematics function assisting you in learning AI.
  • 【App Remote Control】 ArmPi mini offers ultimate remote control with a dedicated app (iOS/ Android) and PC software. In addition, you can access first-person-view perspective on the app giving you an immersed using experience.
  • Powered by ESP32 microcontroller
  • Linkage mechanism for better inverse kinematics learning
  • Compatible with Hiwonder sensors for implementing different tasks
  • Worked with the sliding rail to simulate industrial scenario
  • Support Auduino and Python
  • Support APP, PC software, wireless handle and mouse controls
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