Tired of juggling disparate hardware and software to learn robotics? Hiwonder JetAuto is designed as an integrated, out-of-the-box platform that covers the full stack—from perception and planning to physical control. This ROS-based mobile robot combines advanced capabilities like SLAM navigation, 3D vision, intelligent voice interaction, and multi-robot coordination into a single, ready-to-use system, letting you focus on building rather than assembling.
Build, Map, Navigate—With Your VoiceAt its core, JetAuto is built for autonomous exploration and navigation. Equipped with LiDAR and multi-modal sensors, it supports classic and modern SLAM algorithms (Gmapping, Cartographer) right out of the box, so you can experiment with real-time mapping and path planning.
What sets it apart is its integration with large language models (LLMs) like Qwen. You can simply tell JetAuto to “go to the zoo and look for animals.” The robot understands the natural language command, analyzes its semantic meaning, and autonomously plans and executes the navigation. This moves way beyond coordinate-based waypoints, offering a hands-on look at the future of human-robot interaction.
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Beyond laser mapping, JetAuto is equipped with a 3D structured-light depth camera, providing real-time point clouds and depth data. This allows for object detection, distance measurement, volumetric analysis, and even 3D scene reconstruction. When paired with frameworks like YOLOv11, you can develop visual tracking, recognition, and inspection projects.
Expand the system with a robotic arm (like the JetArm) to explore eye-hand coordination, turning visual perception into physical action—ideal for experimenting with embodied intelligence workflows.
Interact Naturally Through VoiceThe integrated 6-microphone array enables clear speech recognition and sound localization. Paired with supported AI models, JetAuto can engage in voice-driven dialogue, answer questions, and execute spoken commands, turning natural language into a primary control interface.
JetAuto doesn’t stop at solo operation. With support for multi-robot communication and formation control, you can explore swarm behaviors—from line and triangle formations to distributed task coordination and obstacle avoidance. This opens the door to experiments in multi-agent systems right on your workbench.
Designed for Developers and MakersBuilt around ROS 1/2 and compatible with Jetson Nano or Raspberry Pi, JetAuto is fully open-source. Hiwonder provides extensive learning materials, including over 325 lessons covering everything from motor control and sensor integration to SLAM tuning, vision model training, and multi-robot algorithms.
Whether you're a student, educator, or developer, JetAuto consolidates the tools you need into one robust platform—so you can spend less time configuring and more time creating.
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