Smart Car

【All-Metal Build & High-Performance Hardware】Powered by ESP32, Tankbot pairs a suspension tank chassis with a 6DOF robotic arm. It integrates an AI module, an ultrasonic sensor, and a line follower sensor to effortlessly execute complex tasks such as line following, obstacle avoidance, and sorting.

【Multimodal Large AI Model Deployment】The onboard WonderLLM module deeply fuses text, voice, and vision models. This seamless integration enables creative AI applications, including smart chatting, visual recognition, and intelligent gripping.

【Offline Vision & Voice Interaction】Tankbot delivers powerful AI capabilities completely offline. Simply flash different programs to enable internet-free color tracking, face detection, and voice control.

【Extensive Sensor Expansion】Compatible with Hiwonder's entire sensor ecosystem, Tankbot fully supports secondary development. You can easily implement innovative applications like rollover recovery and omnidirectional sensing.

【Comprehensive Open-Source Tutorials】Access to the open-source code, schematics, and systematic courses to fast-track your learning and secondary development. The tutorials cover everything from sensor and motor control to AI deployment.

【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 & 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.

【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.

【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.

【AI-Driven and Jetson-Powered】JetArm Pro is a high-performance 3D vision robot arm developed for ROS education scenarios. It is equipped with the Jetson Nano, Orin Nano, or Orin NX as the main controller, and is fully compatible with both ROS1 and ROS2. With Python and deep learning frameworks integrated, JetArm Pro is ideal for developing sophisticated AI projects.

【High-Performance AI Robotics & 3D Vision】 JetArm Pro features six high-torque smart bus servos, a 3D depth camera, a 7-inch touchscreen, and a microphone array—bringing together powerful hardware to support a wide range of AI-powered capabilities, including 3D spatial grasping, target tracking, object sorting, voice control, and embodied AI.

【Enhanced Human-Robot Interaction Powered by AI】JetArm Pro leverages Multimodal Large AI Models to create an interactive system centered around ChatGPT. Paired with its 3D vision capabilities, JetArm Pro boasts outstanding perception, reasoning, and action abilities, enabling more advanced embodied AI applications and delivering a natural, intuitive human-robot interaction experience.

【Versatile Multimodal Expansion】With support for Mecanum wheel and tank chassis, electric sliding rail, and conveyor belt, JetArm Pro easily adapts to creative AI applications like intelligent transport, line following, and automated workflows—making it ideal for building advanced, scalable AI scenarios.

【Advanced Technologies & Comprehensive Tutorials】With JetArm Pro, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLOv11, MediaPipe, AI models, robotic inverse kinematics, MoveIt, Gazebo simulation, and voice interaction. We provide in-depth learning materials and video tutorials to guide you step by step, ensuring you can confidently develop your own AI-powered robotic arm.

【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】 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.

【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.

【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.

【Raspberry Pi 5 & ROS2 Platform】 TurboPi runs on the ROS2 operating system and leverages Python and OpenCV to deliver efficient AI processing and a wide range of robotic applications.

【Multimodal large AI model & Voice Interaction】With an integrated multimodal large AI model and AI voice interaction capabilities, TurboPi supports smart conversations, environment awareness, and flexible task execution for richer human-machine ChatGPT / Gemini / Grok / Llama interactions.

【AI Vision & Autonomous Driving】 Equipped with a 2-DOF HD camera, TurboPi offers FPV video feedback, object and color recognition, line following, and autonomous driving features—perfect for creative AI projects.

【360° Omnidirectional Movement】 Featuring a robust metal chassis and Mecanum wheels, TurboPi can move in any direction and rotate on the spot, adapting smoothly to various scenarios.

【Comprehensive Code & Learning Resources】 We provide full Python source code, diverse experiment examples, and detailed course materials to support your journey in mastering AI and programming while inspiring endless innovation.

【Smart ROS Robots Driven by AI】 JetTank supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training. This combination delivers 3D machine vision applications, including autonomous driving, somatosensory interaction and KCF target tracking.

【SLAM Development and Diverse Configuration】 Hiwonder JetTank is equipped with 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 Hardware Configurations】 JetTank is made of aluminum alloy and employs various hardware components, including reinforced nylon continuous track, 520 Hall encoder gear motors, metal drive wheel, Lidar, Astra Pro Plus depth camera, 6-microphone array, speaker, etc.

【Far-field Voice Interaction】 JetTank advanced kit incorporates a 6-microphone array and speaker allowing for man-robot interaction applications, including Text to Speech conversion, voice wake-up, 360° sound source localization, voice-controlled mapping navigation, etc.

【Robot Control Across Platforms】 JetTank provides multiple control methods, like WonderAi app (iOS&Android), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will.

【Al-Driven ROS Robot】 Powered by NVIDIA Jetson or Raspberry Pi 5, this ROS 1/ROS 2 compatible robot integrates mainstream deep learning frameworks,including YOLO26 and MediaPipe.

【Multimodal Al & OpenClaw Empowerment】 Featuring ChatGPT-centered multimodal Al models and deep OpenClaw integration, the robot autonomously handles task decomposition, intelligent decision-making, and precise execution to achieve true embodied intelligence.

【SLAM & Intelligent Navigation】 Combining a 3D depth camera and LiDAR with Gmapping and Cartographer algorithms, the system delivers precise multi-point navigation,TEB path planning, and dynamic obstacle avoidance.

【High-Performance Visual Robotic Arm】 The onboard 6DOF robotic arm features 35 kg torque and an end-effector HD camera, enabling precise object grasping from a first-person perspective.

【Far-Field Voice & Multimodal Control】 The integrated 6-microphone array and speaker support sound source localization, voice navigation, and voice-controlled grasping. Multiple control options are available, including a mobile app, a wireless controller, ROS, and keyboard inputs.