← All Courses
320$9.9

Autonomous Vacuum Robot Navigation

SLAM, path planning, coverage algorithms, RL navigation, perception — Make a vacuum robot clean on its own

8

Chapters

14

Interactive

~78

Hours

Chapters

1

Introduction to Vacuum Robots

8-12h

Challenges of Vacuum Robots, Robot Motion Models, Sensors and Perception, Occupancy Grid Maps

2 interactiveBuilding a Robot Simulation Environment
2

Reactive Navigation

8-12h

What is Reactive Navigation, Random Walk, Wall Following, Bug Algorithms

2 interactiveImplementing Three Reactive Strategies
3

Coverage Planning

8-12h

The Coverage Problem, Zigzag Coverage, Boustrophedon Coverage, Cell Decomposition

2 interactiveImplementing Coverage Planning Algorithms
4

Path Planning

10-14h

The Shortest Path Problem, BFS and Dijkstra, A* Algorithm, D* Lite

3 interactivePath Planning Algorithm Comparison
5

SLAM and Map Building

10-14h

What is SLAM, Grid SLAM, Frontier Exploration, Localization Uncertainty

2 interactiveBuilding a SLAM System
6

Reinforcement Learning Navigation

12-16h

Why Use RL for Navigation, Observation and Action Design, Reward Engineering, PPO Navigation Training

2 interactiveRL Coverage Navigation
7

Perception Pipeline

8-10h

Why Perception is Needed, YOLOv8 Object Detection, SmolVLA Vision-Language Model, Perception Fusion

Building a Perception Pipeline
8

Capstone Project — Intelligent Cleaning Robot

14-18h

Project Overview, Traditional Pipeline Integration, RL Pipeline Integration, Evaluation Framework

1 interactiveComplete System Comparison

My Notes & Comments

Sign in to view your highlights, bookmarks, and comments across all chapters.