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Smart Robot

College & UniversityHigh School & CTEROS 2

A ROS 2 robot built on a single-board computer and a three-axis omnidirectional wheel platform, with LiDAR and a camera for real-time mapping, map navigation, and computer vision.

智慧機器人

Product overview

The Smart Robot is built on a single-board computer combined with a mobile platform. The system runs on ROS 2 and, in addition to basic motion control, includes a LiDAR sensor and a camera.

The three-axis omnidirectional wheel drive lets the robot move more freely and steadily in environments with many obstacles. You can swap in a different single-board computer, from the entry-level Raspberry Pi 4 to the Jetson series for AI projects and x86 boards with Intel processors. On the software side, it offers LiDAR real-time mapping and map navigation, along with computer vision examples and instructions matched to the single-board computer you choose.

Hardware overview

Smart Robot side view: LiDAR, emergency stop switch, wide-angle camera, and omnidirectional wheels
Smart Robot top view: round aluminum plate chassis, OLED display, and battery level indicator

What this kit teaches

Getting started

Hardware overview, powering on and connecting, and the ROS 2 concepts Node, Topic, Service, Parameter, and Action.

LiDAR

Navigation 2, static map building and SLAM algorithms, map post-processing, robot navigation and parameter tuning, and multi-point navigation.

Computer vision

Face, color, QR code, AprilTag, and lane recognition, plus AI image classification, visual obstacle avoidance, and self-driving cars.

Course outline

Getting started (9 units)
  • 1-1 Hardware overview
  • 1-2 Powering on and connecting
  • 1-3 Quick operation
  • 1-4 What is ROS 2?
  • 1-5 ROS 2 Node
  • 1-6 ROS 2 Topic
  • 1-7 ROS 2 Service
  • 1-8 ROS 2 Parameter
  • 1-9 ROS 2 Action
LiDAR (8 units)
  • 2-1 What is LiDAR?
  • 2-2 Navigation 2
  • 2-3 How to build a static map
  • 2-4 Other SLAM algorithms
  • 2-5 Map post-processing
  • 2-6 Robot navigation
  • 2-7 Tuning navigation parameters
  • 2-8 Multi-point navigation
Computer vision (12 units)
  • 3-1 Reading images
  • 3-2 Face recognition
  • 3-3 Face-tracking robot
  • 3-4 Color recognition
  • 3-5 QR code recognition
  • 3-6 AprilTag recognition
  • 3-7 Lane recognition
  • 3-8 Image processing—self-driving car
  • 3-9 AI image classification
  • 3-10 AI visual obstacle avoidance
  • 3-11 AI image regression
  • 3-12 AI visual recognition—self-driving car
Supplementary (2 units)
  • 4-1 Installing ROS 2 on a computer
  • 4-2 Communication between the computer and the Smart Robot

31 units in total, compiled from the full outline on the iCShop store product page. The number of class periods depends on your school’s schedule; please contact us to plan it.

Specifications

Single-board computerRaspberry Pi 4 Model B 4 GB
Operating systemUbuntu MATE 22.04
ROSROS 2 Humble
Motor control boardOminiBot HV
LiDARCLDR-08SB
Camera1080p, 150-degree wide angle, 60 FPS
MotorsHall encoder, 12 V, 366 rpm
StructureAluminum plates with mounting hardware
WheelsOmni wheels (60 mm)
SD cardMicro SD 64 GB
BatteryLi-ion battery, 11.1 V, 2200 mAh, 3S (XT60)
DimensionsApprox. 25.4 cm diameter × 16.9 cm height

What’s in the box

ItemQuantity
Smart Robot1
I-Max B6 balance charger (power adapter included)1
Li-ion battery, 11.1 V, 2200 mAh, 3S (XT60 connector)2

This product is a module for R&D and experimentation. Before use, it must be programmed, flashed, wired, or otherwise further assembled by someone with a technical background (such as engineers, graduate students, or teachers and students).

Contact us

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  • 02Quotes and orders, including international shipping
  • 03Teacher training and professional development
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