Robot Localization with Python and Particle Filters

提供方
Coursera Project Network
在此指导项目中,您将:

C​ode a particle filter from scratch in Python and use it to solve the robot localization problem.

Clock1 hour
Advanced高级设置
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this one hour long project-based course, you will tackle a real-world problem in robotics. We will be simulating a robot that can move around in an unknown environment, and have it discover its own location using only a terrain map and an elevation sensor. We will encounter some of the classic challenges that make robotics difficult: noisy sensor data, and imprecise movement. We will tackle these challenges with an artificial intelligence technique called a particle filter. By the end of this project, you will have coded a particle filter from scratch using Python and numpy. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培养的技能

  • Particle Filter
  • Artificial Intelligence (AI)
  • localization
  • Robotics
  • Numpy

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Load a map from file

  2. Control robot movement

  3. Initialize a particle filter

  4. Sense the terrain elevation

  5. Resample the particle filter

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

常见问题

常见问题

还有其他问题吗?请访问 学生帮助中心