Name: MentorPi T1
Brand: Hiwonder
Availability: InStock

$329.99 – $909.99Hiwonder store, October 2026. Starter (monocular camera, lidar) $329.99 without a board, $459.99 / $519.99 / $619.99 / $739.99 with a Pi 5 2 / 4 / 8 / 16 GB. Standard adds the Aurora930 Pro depth camera, $469.99 without a board and $599.99 / $659.99 / $759.99 / $879.99 with a Pi 5. Advanced adds the WonderEcho Pro AI voice box, $499.99 and $629.99 / $689.99 / $789.99 / $909.99. The cheapest version with a depth camera is Standard with a Pi 5 2 GB at $599.99 (matching Standard to the depth-camera packing list is inferred from the list order). Kits without a board also lack the microSD card. Amazon US (sold by Hiwonder-US) lists the Starter without a Pi at $329.99.

AvailableVia SSH / web / bridgeROS 2LidarDepth cameraPi 5TracksKit

≤ 1 weekShipping: ~1 wk (est.). Amazon US lists it sold by Hiwonder-US and shipped from Amazon, with delivery in about a week. 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). Amazon ↗

Remote control: ROS 2 Humble runs in Docker on Raspberry Pi OS with Ubuntu 22.04 on the robot. Hiwonder's course covers remote desktop tools and container access, with a virtual machine for RViz on a PC.

Hiwonder ↗Tutorials ↗Amazon ↗

Overview

The tracked member of the MentorPi family, with the same Raspberry Pi 5 and RRC Lite setup on a metal tank chassis. The Standard kit pairs a COIN-D6 lidar with an Aurora930 Pro depth camera, and the course includes slam_toolbox, Nav2 and RTAB-Map 3D mapping and navigation. Tracks let it turn in place and handle rugs and thresholds better than small wheels. Runtime is rated at up to an hour on a 2,200 mAh pack, and speed is not published.

Specifications

Category	Wheeled rovers · Ready-made dev rovers
Released	2025
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 · MentorPi T1's Large AI Model Course covers ChatGPT-based voice control, vision language model tracking and voice-driven multi-point navigation. These lessons need the WonderEcho Pro voice box, which only the Advanced kit includes. Hiwonder MentorPi T1 tutorials ↗
MuJoCo simulation	None found · Nothing found.
NVIDIA Isaac simulation	None found · Nothing found.
Gazebo simulation	None found · The T1 course has a URDF model lesson, but no Gazebo chapter was found in its table of contents. Hiwonder MentorPi T1 tutorials ↗
Best for	Ages 14+ (estimated)
Vision sensors	Lidar, Depth camera, Camera
Actuators	DC / gear motors
Audio	Speaker, Microphone
Compute type	Raspberry Pi, Arduino / ESP32 / microcontroller
Remote control	Via SSH / web / bridge
Size	27.8×19.5×18.2 cm, 1.88 kg
Drive	Tracked tank chassis, Hall encoder DC geared motors with AB-phase incremental encoders
Compute	Raspberry Pi 5 (2, 4, 8 or 16 GB, or none), plus Hiwonder's RRC Lite controller board
Vision	Aurora930 Pro structured-light depth camera, 0.15–3 m, 640×400 depth and RGB at 12 fps (Standard and Advanced). Starter has a 640×480 wide-angle monocular camera
Lidar	COIN-D6 TOF lidar per the store text, though a store product image labels it Oradar MS200 (model unconfirmed), range not published on the store page
Sensors	Track encoders, lidar, depth camera, WonderEcho Pro AI voice box with mic and speaker (Advanced only)
Runtime	Up to 60 minutes (7.4 V 2,200 mAh LiPo)
Speed	Not published
SDK	ROS 2 Humble (Docker), Python, C/C++, OpenCV and MediaPipe lessons, YOLOv5 training lessons (the store page mentions YOLOv11), slam_toolbox mapping, Nav2 navigation with AMCL and DWA, RTAB-Map 3D mapping and navigation with the depth camera, lidar obstacle avoidance and following, autonomous driving map lessons, WonderPi app