In this second course of the Introduction to Robotics specialization, "Robotic Mapping and Trajectory Generation", you will learn how to perform basic inverse kinematics of (non-)holonomic systems using a feedback control approach. You will also learn how to process multi-dimensional sensor signals such as laser range scanners for mapping. Additionally, you will apply the overarching focus of mechanisms and sensors as sources of uncertainty and gain techniques to how to model and control them.

Robotic Mapping and Trajectory Generation

位教师:Nikolaus Correll
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您将学到什么
Use basic feedback control techniques for inverse kinematics of (non-)Holonomic mechanisms.
Apply coordinate transforms to multi-dimensional sensor signals.
Understand basic probabilistic representations to deal with uncertainty from measurement noise.
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14 项作业
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该课程共有5个模块
Welcome to Robotic Mapping and Trajectory Generation. In this first week of the course, you will get started by being introduced to the class of "range finder" devices, which have important applications in mapping, as well as the concept of homogeneous transforms to perform coordinate transformations.
涵盖的内容
8个视频8篇阅读材料5个作业1个讨论话题
In this week, you will begin to understand basic discrete map representations and their implementation.
涵盖的内容
2个视频4篇阅读材料3个作业1个插件
This week introduces simple ways to encode obstacles in terms of probability, the concept of "configuration space", and a simple algorithm for collision checking.
涵盖的内容
1个视频3篇阅读材料2个作业
In this week you will learn to define a robot trajectory based on a series of waypoints and implement a basic proportional controller in Webots to navigate in a 2D environment.
涵盖的内容
4个视频4篇阅读材料4个作业
In this module you will transfer your mapping and trajectory following skills to a commercial robotic platform in a kitchen environment, introducing you to additional constraints of sensor integration on a real robotic platform.
涵盖的内容
1个视频1次同伴评审
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课程 是 University of Colorado Boulder提供的以下学位课程的一部分。如果您被录取并注册,您已完成的课程可计入您的学位学习,您的学习进度也可随之转移。
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