halloween2026

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

【Multiple Chassis Configurations】 LanderPi robot supports Mecanum-wheel, Ackermann chassis, and tank chassis, allowing flexibility for various applications and meeting diverse user needs.

【High-Performance Hardware】Equipped with DC gear encoder motors, TOF lidar, 3D depth camera, 6DOF Robotic Arm, and other advanced components to ensure optimal performance and efficiency.

【AI Advanced AI Capabilities】 LanderPi Raspberry Pi car 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 the YOLOv8 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】LanderPi deploys multimodal models with ChatGPT at its core, integrating 3D vision robotic arm 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.

【Supports Magnetic Encoder Servo Control】Wide 5–14V input range drives Hiwonder magnetic encoder servos effortlessly. Includes Type-C cable for easy connection.

【Professional PC Software】Graphical interface for servo scanning, parameter tuning, and motion mode switching. Simplifies debugging and speeds up development.

【Multiple Communication Modes】Supports UART, USB, and single-wire TTL for flexible servo control across different setups.

【Supports Multi-Controller Platforms】Compatible with Jetson, Raspberry Pi, ESP32, STM32, Arduino, and more. Extra serial ports are available for expansion and integration.

【Comprehensive Tutorials】Comes complete with multi-platform code examples, professional debugging tools, and full documentation, accelerating development and enabling greater focus on hardware innovation.

【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.

【AI-Driven & Jetson-Powered】 Hiwonder JetAcker is a high-performance ROS robot for STEAM education. Equipped with Jetson Nano/Orin Nano/Orin NX controllers and compatible with both ROS1 and ROS2, JetAcker integrates deep learning frameworks with TensorRT acceleration.

【SLAM Development and Diverse Configuration】Hiwonder JetAcker 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, JetAcker AI robot can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.

【Al Large Model Empowered, Human Robot Interaction Redefined】 JetAcker deploys multimodal models with ChatGPT at its core, integrating 3D vision and a 6-microphone array. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human robot interaction.

【Classical Ackermann Steering Mechanism】 The Ackermann chassis combines maneuverability and steering precision, facilitating the learning and validation of real-world vehicle steering principles. This design enables realistic simulation of autonomous driving scenarios for enhanced educational experiences.

【STEAM Education Tutorials】 Hiwonder JetAcker's structured curriculum guides users to master cutting-edge technologies including ROS development, SLAM mapping and navigation, 3D depth vision, OpenCV, YOLO26, MediaPipe, Large Al model integration, Movelt and Gazebo simulation, and voice interaction. Supported by extensive documentation and video tutorials, our progressive learning system breaks down complex concepts into digestible modules, guiding you from fundamentals to advanced implementations-empowering you to build your own intelligent robotic systems.

【High-Precision Magnetic Encoder Servo】The HX-30HM uses a 12-bit high-precision magnetic encoder, with trapezoidal acceleration/deceleration and PID control, ensuring 360° precise control with zero backlash and smooth operation.

【Professional Visual PC Software】Includes servo scanning, visualized parameter configuration, and motion mode switching, catering to both embedded development and complex multi-DOF robot design.

【Real-Time Feedback and Protection】Provides real-time angle, temperature, and voltage feedback, with built-in protections like anti-stall, overheat, overload, and overvoltage for safe and reliable operation.

【Flexible Application】Supports serial bus connection, ID recognition, and dual-mode control, with source code and protocols for ESP32, STM32, Arduino, Raspberry Pi, and Jetson controllers.

【Comprehensive Tutorials】Includes code examples, debugging tools, and comprehensive documentation to accelerate development, allowing you to focus on hardware innovation.

【AI Voice Recognition and Broadcasting】 This module seamlessly integrates AI voice recognition and broadcasting functions, achieving a recognition accuracy of up to 98%. It supports both Chinese and English keywords, offering robust capabilities for AI voice applications.

【Advanced Neural Network Processor】 Powered by a neural network processor, Hiwonder WonderEcho module supports convolutional neural network (CNN) operations, greatly improving both the speed and accuracy of AI voice recognition.

【Wide Compatibility】 With Type-C and I2C interfaces, WonderEcho is fully compatible with platforms such as Arduino and Raspberry Pi, enabling integration into a variety of development environments.

【Extensive Voice Interaction Library】 Preloaded with over 100 voice interaction commands, the module comes with comprehensive user guides, allowing users to easily integrate voice functionality and reduce development time.

【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.

【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 & OpenClaw】 Multimodal large AI model deployment and deep OpenClaw agent integration unlock advanced embodied intelligence. This enables cross-platform collaboration, proactive responsiveness, and spatial vector memory for advanced robotic applications.

【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.