Mobile and ROS robots

LanderPi

A Raspberry Pi 5 ROS2 robot car with a 6DOF arm and lidar, on a mecanum, Ackerman or tank chassis.

Raspberry Pi
Suggested for secondary
Suggested for university

LanderPi is a composite ROS teaching robot from Hiwonder: a Raspberry Pi 5 robot car carrying a 6DOF robotic arm, on a mecanum wheel, Ackerman or tank chassis. A lidar handles SLAM mapping, path planning and obstacle avoidance, and in the Standard and Advanced kits a 3D depth camera on the end of the arm lets it recognise, track and grasp objects, so it can drive to a target, pick it up and carry it. The Advanced Kit adds the WonderEcho Pro AI voice box for voice control and large AI model applications through ChatGPT. Hiwonder provides open-source code and learning resources.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: Starter Kit · Standard Kit · Advanced Kit
Controller: Without Raspberry Pi 5 · With Raspberry Pi 5 2GB · With Raspberry Pi 5 4GB · With Raspberry Pi 5 8GB · With Raspberry Pi 5 16GB
Chassis: Mecanum Chassis · Ackerman Chassis · Tank Chassis

What it does

Built for.

Three chassis
Choose a mecanum wheel chassis for movement in any direction, an Ackerman chassis with car-style steering, or a tank chassis on tracks.
Lidar SLAM
The lidar maps a space and supports path planning, fixed-point and multi-point navigation, dynamic obstacle avoidance and multi-robot mapping.
3D vision on the arm
The depth camera gives the arm a first-person view for recognising, tracking and grasping objects, and can measure distance and estimate an object's height and volume.
Voice and large AI models
In the Advanced Kit, the WonderEcho Pro voice box and ChatGPT let LanderPi navigate to spoken destinations, describe its surroundings, patrol lines and track objects.
Choosing a kit
The Starter Kit has a monocular camera and lidar, the Standard Kit a 3D depth camera and lidar, and the Advanced Kit adds the voice box. Kits without a Raspberry Pi 5 do not include a microSD card.
URDF simulation
LanderPi supports URDF simulation, and RViz shows mapping and navigation results for debugging and tuning algorithms.

Where it is used

Applications.

ROS2 teaching that covers navigation and manipulation on one robot
Autonomous navigation and transport in a model environment
Embodied AI with voice commands (Advanced Kit)
Multi-robot formation and group control

Videos

See it run.

Specifications

The full sheet.

Mecanum chassis version (3D depth camera): 212 × 174 × 441 mm, 1.79kg
Ackerman chassis version (3D depth camera): 213 × 160 × 448 mm, 1.73kg
Tank chassis version (3D depth camera): 278 × 195 × 458 mm, 2.18kg
Motor: 310 metal geared DC motor (mecanum and Ackermann chassis); MC520 metal geared DC motor (tracked chassis)
Encoder: AB-phase high-precision quadrature encoder
Body material: Full metal aluminum alloy chassis with anodized surface treatment
ROS controller: RRCLite robot controller + Raspberry Pi 5 mainboard
Camera: Aurora930 Pro 3D depth camera (Standard and Advanced Kit)
Lidar: Aoride MS200 LiDAR
Audio: WonderEcho Pro AI voice interaction box (Advanced Kit)
Battery: 7.4V 2200mAh 10C lithium battery (with protection board), 60min runtime (varies by usage)
Operating system: Raspberry Pi OS + Ubuntu 22.04 LTS + ROS2 Humble (Docker)
Software: iOS / Android mobile app
Communication: WiFi / Ethernet
Programming tools: Python / C / C++ / JavaScript
Storage: 64GB TF card
Servo models: HX-06L smart bus servo, LD-1501MG digital servo (Ackermann chassis version)
Supporting materials: Development manual, tutorials, ROS source code, system image, supporting software
Package weight and size: 2.8kg, 43 × 23 × 21 cm