Hiwonder

【Driven by Coreless Servos】 Hiwonder MechDog is equipped with 8 high-speed coreless servos, providing exceptional torque, rapid response, robust force, and high accuracy. Its leg linkage structure enables swift, precise, agile and stable walking in any environment.

【Inverse Kinematics for Flexible Movement】 MechDog features built-in inverse kinematics that support real-time adjustments of walking direction, gait and posture, resulting in more flexible and lifelike movements.

【Cross-Platform Control with Multiple Programming Options】 Hiwonder MechDog supports control via PC software and a mobile app. It can be programmed using Python, Scratch, or Arduino, offering a variety of programming options.

【Extensive Expansion for Creativity】 MechDog can be enhanced with various sensors and electronic modules. It is also compatible with LEGO components, allowing for a broad range of creative applications.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi A1 robot is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.

【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 YOLOv11 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.

【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.

【Raspberry Pi 5 & ROS2 Robot Car】 Powered by a Raspberry Pi 5 and ROS2, the MentorPi A1 robot is an ideal platform for AI robot development, programmed in Python.

【Built with Advanced Components】 Equipped with closed-loop encoder motors, a TOF lidar, a 3D depth camera, and high-torque servos for optimal performance.

【Advanced AI Capabilities】 Supports SLAM mapping, path planning, vision recognition, target tracking, and more for a wide range of AI applications.

【Autonomous Driving with Deep Learning】 Utilizes YOLOv11 model training to enable road sign and traffic light recognition, helping users develop autonomous driving technologies.

【Human-Robot Interaction】 Empowered by a large AI model with ChatGPT at its core, MentorPi robot A1 uses 3D vision and AI voice to enhance its capabilities, enabling natural, context-aware human-robot interaction.

【Raspberry Pi 5 & ROS2】Powered by RPi 5 and compatible with ROS2, MentorPi car is an ideal platform for developing AI robots. The system is fully programmable in Python, making it accessible for a wide range of projects.

【Choose Your Chassis】 Whether you need the precision of an Ackermann chassis or the maneuverability of Mecanum wheels, MentorPi raspi car has you covered. Its flexible design lets you switch between configurations to fit your unique needs.

【Top-Tier Hardware Inside】 Packed with high-performance components like closed-loop encoder motors, a TOF lidar, a 3D depth camera, and high-torque servos, MentorPi RPi robot delivers speed and accuracy.

【Advanced AI】 From SLAM mapping and path planning to multi-robot coordination and vision recognition, MentorPi robot supports a wide range of AI applications.

【Autonomous Driving】 Utilize YOLOv11 model training to enable advanced autonomous driving features, including road sign and traffic light recognition. This provides an excellent platform for learning and developing autonomous driving.

【Advanced Interaction】 Hiwonder MentorPi deploys multimodal models with ChatGPT at its core. By integrating a 3D vision system and an AI voice interaction box, the robot gains enhanced perception, reasoning, and actuation. This enables advanced embodied AI applications and delivers natural interaction.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi T1 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, 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 YOLOv11 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.

【Empowered by Large AI Model, Human-Robot Interaction Redefined】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision and AI voice interaction box. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.

【Compatible with Arduino】 Features an Arduino UNO R3 controller and an expansion board, ensuring full compatibility with the Arduino programming. Hiwonder miniAuto car also provides 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, AI 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】 With a 4-channel line follower and the vision module, miniAuto can perform line following, crossroad recognition, traffic light detection, and more autonomous driving capabilities.

【Robot Gripper Expansion】 This robotic gripper expansion enables object transportation, line following, visual transport, and numerous other creative projects, taking your creativity to the next level.

【ESP32 Controller & Arduino Programming】 Hiwonder miniHexa is an open-source AI hexapod robot powered by ESP32 and fully compatible with Arduino programming. It features precise motion control and multiple expansion ports, making it ideal for function upgrades and secondary development.

【18DOF Structure, High-Speed Micro Servos】 miniHexa is equipped with 18 anti-stall micro servos—compact in size, fast in response, low-noise, and highly precise—delivering powerful, accurate control for executing complex movements with ease.

【Inverse Kinematics & Flexible Movement】 Utilizing cutting-edge inverse kinematics algorithms, miniHexa supports 360° omnidirectional motion. It effortlessly switches between postures, angles, and balance, enabling smooth and seamless action combinations.

【Versatile Sensor Expansion】 miniHexa supports a wide range of sensors, including Al vision, voice module, ultrasonic, touch sensor, matrix display, and more. It enables creative applications like color recognition, target tracking, face detection, voice control, and distance measurement.

【Comprehensive Learning Resources & Open Source】 Comes with more than 200 tutorials, open-source code, circuit schematics, and well-commented programs, helping users dive into AI and programming while sparking endless creativity.

【Embodied Al Robotic Arm】NexArm robot arm features an industrial-grade metal body with high-precision magnetic encoder servos and inverse kinematics. It delivers a 500mm reach,500g payload, and +2mm repeatability. Curve smoothing algorithms eliminate jitter for precise grasps and smooth trajectories.

【Compatibility with the LeRobot Ecosystem & End-to-End Algorithms】NexArm robotic arm is fully integrated with the LeRobot framework to access community models, datasets, and simulations. Developers can easily train and deploy end-to-end imitation and reinforcement learning algorithms like ACT.

【Leader-Follower Teleoperation & VLA Development】Supports synchronous teleoperation via leader and follower arms. By capturing HD video alongside trajectory data, NexArm robotic arm quickly builds "vision-action" datasets, making it an ideal platform for VLA (Vision-Language-Action) model training.

【Dual-Camera Vision System】Equipped with both a gripper-mounted camera and an external camera, the robot arm system supports both precise manipulation and environmental awareness for accurate imitation learning.

【Open-Source and Multi-Mode Control】Open-source code and schematics, plus PC software, app control, secondary development examples, and structured tutorials, significantly lower the barrier to embodied AI development.

【Next-Gen Embodied AI Robotic Arm】Built on an ESP32 + AT32 dual-chip architecture, with an industrial-grade all-metal body and advanced inverse kinematics algorithms, NexArm delivers a full-stack solution from low-level hardware to end-to-end large-model validation.

【Compatibility with LeRobot Ecosystem & End-to-End VLA Models】NexArm robotic arm is fully integrated with the LeRobot framework to access community models, datasets, and simulations. Developers can easily train and deploy end-to-end imitation learning algorithms and multimodal models like ACT & VLA.

【65 kg·cm High-Torque Magnetic Encoder Bus Servos】Industrial-grade high-precision magnetic encoder bus servos, combined with trapezoidal acceleration/deceleration and curve-smoothing algorithms, reduce start-stop jitter, enable smooth motion, and deliver ±2 mm repeatability.

【6 TOPS K230 Vision Module & Al Voice Interaction】NexArm robot arm equipped with the K230 Al vision module, with 30+built-in Al vision features including color/objects/gesture recognition and sorting, personalized face recognition, and more. Supports voice control, Al vision & voice interaction, and hand-eye coordinated grasping.

【Open-Source and Multi-Mode Control】Open-source code and schematics, plus PC software, app control, secondary development examples, and structured tutorials, significantly lower the barrier to embodied AI development.

【Raspberry Pi & ROS1/ROS2 Compatible】 PuppyPi is an AI vision robot dog built for education and development. Powered by a Raspberry Pi 5 and fully compatible with ROS1 and ROS2, it enables efficient AI computing and versatile robotics projects through Python. Complete source code and documentation included to help you build and customize your own intelligent robot dog.

【Multimodal AI & Enhanced Human Robot Interaction】 PuppyPi integrates a multimodal model, featuring ChatGPT at its core for advanced human-robot interaction. Enhanced with AI vision, it delivers improved perception, reasoning, and action, creating a more natural and flexible interaction experience!

【High-Torque Smart Servos & Inverse Kinematics】 PuppyPi is equipped with 8 high-torque stainless steel gear servos, offering faster response times and stable output. The robot's legs use a link structure design combined with inverse kinematics algorithms to enable coordinated multi-joint movement and precise motion control.

【AI Vision Recognition & Tracking】 PuppyPi features a high-definition camera that enables a variety of AI vision capabilities, including color recognition, target tracking, face detection, ball kicking, line following, and MediaPipe gesture control.

【Lidar & Robotic Arm Expansion】 PuppyPi quadruped robot supports TOF Lidar and robotic arm expansion. It can perform 360° environmental scanning, SLAM navigation, and dynamic obstacle avoidance. Additionally, Hiwonder PuppyPi can precisely grasp objects, opening up opportunities for advanced AI applications.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi M1 robot, powered by a RPi 5 and compatible with ROS2, is programmed in Python, making it an excellent platform for developing AI robots.

【Built for Performance】 With closed-loop encoder motors, a TOF lidar, a 2DOF camera, and high-torque servos, the MentorPi car ensures optimal performance and efficiency for all your robotics projects.

【Unlock Advanced AI】 Explore a wide range of AI applications with features that include SLAM mapping, path planning, multi-robot coordination, vision recognition, and target tracking.

【Learn Autonomous Driving】 Utilize the YOLOv11 model for training the robot to recognize road signs and traffic lights, helping you explore and develop cutting-edge autonomous driving technologies.

【ROS2 & High-Performance Hardware】 Built on ROS2, ROSOrin Pro is compatible with Jetson and Raspberry Pi 5. Featuring an AI voice interaction module, a 6DOF robotic arm, and other high-performance hardware, it supports motion interaction, voice control, intelligent grasping, and more creative applications.

【AI Large Models and OpenClaw Agent】 Supports multimodal AI large model deployment, including online access and local offline deployment. Deep integration with the OpenClaw agent enables remote voice and text commands, autonomous task breakdown, intelligent decision-making, and complex task execution.

【Mapping, Navigation, and 3D Vision】 Equipped with a TOF LiDAR and a 3D depth camera, ROSOrin Pro supports SLAM mapping, path planning, and dynamic obstacle avoidance, while enabling 3D object recognition, grasping, sorting, transport, and other advanced human-robot collaboration tasks.

【Integrated Algorithm Framework】 Integrates YOLO26, OpenCV, MediaPipe, Gmapping, inverse kinematics, and other algorithms and tools, providing a highly configurable and extensible development environment.

【Comprehensive Development Resources】 Comes with extensive tutorials and development manuals, covering the full learning path from beginner to advanced levels for faster robot development.

【ROS2 & High-Performance Hardware】 ROSOrin runs on ROS2, compatible with Jetson and Raspberry Pi. It features LiDAR, a 3D camera, and a six-microphone array for tasks like mapping and navigation, 3D recognition, and voice interaction.

【Multimodal Large AI Model】 ROSOrin integrates a ChatGPT / Gemini-based AI model for advanced embodied AI applications, such as environment perception, task planning, and autonomous driving.

【Versatile Chassis Expansion】 Switches between Mecanum, Ackermann, and differential drive chassis, paired with a swing arm suspension system for stable movement and precise control on complex terrains.

【AI Vision Algorithms】 Equipped with YOLO26, OpenCV, MediaPipe, and KCF algorithms, ROSOrin delivers powerful visual perception for advanced applications like autonomous driving, face recognition, and target tracking.

【Learning Resources】 Includes comprehensive tutorials, source code, and AI project examples from beginner to advanced, everything needed to move from first build to advanced ROS robot applications.

【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】 Hiwonder 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, 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 FPV 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.