机器人人工智能 CS373

该课程为谷歌无人车之父塞巴斯蒂安·特龙于2012年4月在Udacity网站发布，讲授人工智能的基本方法，包括概率推论、规划和搜索、定位、跟踪和控制，所有内容都是以自动驾驶机车技术为重点。该课程需要初步的Python基础及部分概率知识、以及浓厚的兴趣。

课程内容包括:

• 定位
  • 直方图滤波
  • 卡尔曼滤波
  • 粒子滤波
• 规划
  • A*寻路算法
  • 动态规划
• 控制
  • 轨迹平滑
  • PID
• SLAM
  • Online Graph SLAM
• 项目
  • 抓捕机器人

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Udacity Class:

Udacity CS373 机器人人工智能 2012
这个repository是我学习Udacity课程期间完成的作业，欢迎大家Fork/Clone/下载，如有疑问欢迎交流。

Programming a Robotic Car CS373

This course is about how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams, Sebastian Thrun. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Success in this course requires some programming experience with python, some basic concepts in probability and the most important thing is a lively interest in robotic.

Course content:

• Localization:
  • Histogramm Filters
  • Kalman Filters
  • Particle Filters
• Planning:
  • A*-Search
  • Dynamic Programming
• Control:
  • Smoothing
  • PID-Control
• SLAM
  • Online Graph SLAM
• Final Exam
  • Runaway RObot

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Udacity Class:

Udacity CS373 Programming a Robotic Car 2012 This repository contains all the homework projects, Welcome you to fork/clone/download my repository. I hope to communicate with you.