$769.99 – $2,349.99Hiwonder store, October 2026. Every kit has the depth camera, COIN-D6 lidar and 6DOF arm on a mecanum chassis (no 3-in-1 chassis option). Standard $769.99 without a board, $959.99 / $1,059.99 with a Pi 5 4 / 8 GB, $1,129.99 Jetson Nano 4 GB, $1,269.99 / $1,369.99 Orin Nano Super 4 / 8 GB, $1,669.99 / $2,219.99 Orin NX Super 8 / 16 GB. Advanced adds the WonderEcho Pro voice box for $50 more ($819.99 to $2,269.99). Ultimate adds a 7-inch screen, $899.99 to $2,349.99. The cheapest version with a depth camera and a board is Standard with a Pi 5 4 GB at $959.99. Kits without a board include the mounting accessories but no board or storage. Amazon US (sold and shipped by Hiwonder-US) lists the Advanced kit without a controller at $869.99.
AvailableVia SSH / web / bridgeROS 2LidarDepth cameraArmMecanum wheelsJetson
Possibly ≤ 1 weekShipping: ~2–4 wks (est.). Amazon US lists it sold and shipped by Hiwonder-US, with delivery quoted at about two to four weeks, so it likely ships from China (unconfirmed). Hiwonder's shipping policy says orders are usually processed within 24 hours and shipped the next business day, and the store offers free shipping over $499. The ship-from location for store orders is not stated (China, unconfirmed). Hiwonder ↗
Remote control: ROS 2 Humble runs on the robot's board. Orin versions run Ubuntu 22.04 with Humble, while the Jetson Nano runs Ubuntu 18.04 with ROS Melodic and Humble in Docker. Remote access from a PC, app or OpenClaw.
Overview
A 2026 version of ROSOrin that adds a 6DOF arm with the depth camera mounted on it, on a mecanum chassis only. Every kit includes the lidar, depth camera and arm, so the entry price is higher than the base ROSOrin, but it covers 3D grasping and sorting along with SLAM and RTAB-Map navigation. The OpenClaw agent and large-model lessons target research and university teaching. Speed and runtime are not published, and the Standard kit lacks the voice box.
Specifications
| Category | Wheeled rovers · Ready-made dev rovers |
|---|---|
| Released | 2026 |
| Country | China |
| Availability | Available |
| Programmability | Full SDK |
| Built-in autonomy | Navigates · Goes to places on its own, such as mapped rooms, waypoints or its charging dock |
| LLM support | Official LLM tools · ROSOrin Pro's tutorials include Large AI Model Courses and an OpenClaw practical tutorial, using online models (ChatGPT, Gemini, Grok, Llama) or local deployment for voice control, task decomposition and arm sorting. Voice lessons need the WonderEcho Pro box from the Advanced kit up. Hiwonder ROSOrin Pro tutorials ↗ |
| MuJoCo simulation | None found · Nothing found. |
| NVIDIA Isaac simulation | None found · Nothing found. |
| Gazebo simulation | Official model · Hiwonder's ROSOrin Pro course has a Gazebo chapter with a virtual machine image, URDF model, and Gazebo mapping and navigation simulation. Hiwonder ROSOrin Pro tutorials ↗ |
| Best for | Ages 14+ (estimated) |
| Vision sensors | Lidar, Depth camera, Camera |
| Actuators | Mixed |
| Audio | Speaker, Microphone |
| Compute type | Raspberry Pi, NVIDIA Jetson, Arduino / ESP32 / microcontroller |
| Remote control | Via SSH / web / bridge |
| Size | 28.4×21.2×54.4 cm (Ultimate with arm), 3.1 kg Standard, 3.2 kg Advanced, 3.6 kg Ultimate |
| Drive | 4 mecanum wheels with swing suspension, 520 metal-gear motors with AB quadrature encoders |
| Compute | Raspberry Pi 5 4 or 8 GB, Jetson Nano 4 GB, Jetson Orin Nano Super 4 or 8 GB, Jetson Orin NX Super 8 or 16 GB, or none, plus an STM32 controller board |
| Vision | Aurora930 Pro structured-light depth camera on the arm, 0.15–3 m, 640×400 depth and RGB at 12 fps |
| Lidar | COIN-D6 TOF lidar, 360°, 12 m radius on black objects per Hiwonder's manual |
| Sensors | IMU (unconfirmed), encoders, lidar, depth camera, 6DOF arm with HTS-21H and HX-12H bus servos (400 g payload), WonderEcho Pro AI voice box (Advanced and Ultimate), 7-inch screen (Ultimate) |
| Runtime | Not published (11.1 V 6,000 mAh battery) |
| Speed | Not published |
| SDK | ROS 2 Humble (ROS 1 Melodic on Jetson Nano), Python, C/C++, OpenCV, MediaPipe and YOLO26 lessons with TensorRT on Jetson, slam_toolbox mapping, autonomous navigation with AMCL and local path planning, RTAB-Map 3D mapping and navigation, 3D vision arm grasping and sorting, autonomous driving, Gazebo simulation, OpenClaw agent and large AI model lessons |
Ratings & reviews
Ratings and reviews load on the live site.
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- Image 1: source (official product image)