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