Name: Hiwonder JetAcker
Brand: Hiwonder
Availability: InStock

$399.99 – $2,389.99Hiwonder store, October 2026. Four kits, each without a board or with a Pi 5 8 GB, Jetson Nano 4 GB, Orin Nano Super 4/8 GB or Orin NX Super 8/16 GB. Starter $399.99 without a board, $689.99 with a Pi 5, lidar only and no camera. Standard adds the depth camera, $599.99 without a board, $889.99 with a Pi 5 and $959.99 with a Jetson Nano, so Standard with a Pi 5 at $889.99 is the cheapest complete version with depth. Advanced adds a 6-mic array and 7-inch screen ($799.99 – $2,249.99), and Ultimate swaps in an EAI G4 lidar ($939.99 – $2,389.99). Board-less kits need a supported board bought separately.

AvailableVia SSH / web / bridgeROS 2AckermannLidarDepth cameraPi 5Jetson

Possibly ≤ 1 weekShipping: Next-business-day dispatch, transit not published. Sold by Hiwonder, whose shipping policy says orders are processed within about 24 hours and shipped the next business day, with no transit time given (October 2026). Shipping origin is not stated, likely China (unconfirmed). Amazon US lists the Advanced kit with an Orin Nano 8 GB at $1,639.99, shipped by Amazon, while its Jetson Nano kits showed as currently unavailable. Hiwonder ↗

Remote control: ROS 2 Humble runs on the robot, natively on Ubuntu 22.04 with Orin boards and in Docker on the Pi 5 (Debian 12) and Jetson Nano (which also has ROS Melodic). Remote access from a laptop through NoMachine, VNC or ROS 2 networking, and Hiwonder supplies a virtual machine image for the Gazebo lessons.

Hiwonder ↗Tutorials ↗Amazon ↗

Overview

An Ackermann-steered ROS 2 car with lidar, a depth camera and a Pi 5 or Jetson, built around car-like steering for autonomous driving lessons such as lane keeping, sign detection and parking. From the Standard kit up it covers slam_toolbox and Nav2 navigation, RTAB-Map 3D mapping with the depth camera, YOLOv5 and large-model voice and vision demos. Ackermann steering cannot turn in place, which makes tight indoor navigation harder than on the mecanum JetAuto. The Astra Pro Plus depth camera works from 0.6 m, so very close obstacles fall to the lidar. Speed is not published.

Specifications

Category	Wheeled rovers · Ready-made dev rovers
Released	2023
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 · Hiwonder's ROS 2 course has large-model chapters using LLM, speech and vision-language models through OpenAI and OpenRouter APIs, for voice control, line following, color tracking and voice-driven multi-point navigation with scene understanding. JetAcker docs (large AI model courses) ↗
MuJoCo simulation	None found · Nothing found.
NVIDIA Isaac simulation	None found · Nothing found.
Gazebo simulation	Official model · Hiwonder's JetAcker docs include URDF and Gazebo hardware, mapping and navigation simulation lessons in ROS 2. JetAcker docs (MoveIt & Gazebo Simulation) ↗
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	31.6×25.9×24.2 cm, 4.8 kg
Drive	Ackermann steering with a serial bus servo, pendulum suspension, 2 × 520 Hall-encoder DC motors on the rear wheels, 100 mm solid rubber wheels
Compute	Raspberry Pi 5 8 GB, Jetson Nano 4 GB, Jetson Orin Nano Super 4/8 GB or Orin NX Super 8/16 GB (or no board), plus an STM32 chassis controller
Vision	Orbbec Astra Pro Plus depth camera, structured light, 0.6–8 m, on a 240° pan-tilt (Standard kit and up, Starter has no camera)
Lidar	SLAMTEC A1 360° 2D lidar, 0.15–12 m (Starter, Standard, Advanced), EAI G4, 0.12–16 m (Ultimate)
Sensors	IMU, Hall motor encoders, circular 6-mic array and speaker (Advanced and Ultimate), 7-inch touch screen (Advanced and Ultimate)
Runtime	About 90 min (11.1 V 6,000 mAh battery)
Speed	Not published
SDK	ROS 2 Humble, Python. slam_toolbox mapping, Nav2 with AMCL and DWA/TEB local planning, point-to-point and multi-point navigation, RTAB-VSLAM 3D mapping and navigation with the depth camera, OpenCV, YOLOv5 with TensorRT, MediaPipe, autonomous driving lessons, lidar following, voice-controlled navigation, Gazebo simulation, LLM, speech and vision-language model courses, phone app