This course, which is the last and final course in the Introduction to Robotics with Webots specialization, will teach you basic approaches for planning robot trajectories and sequence their task execution. In "Robotic Path Planning and Task Execution", you will develop standard algorithms such as Breadth-First Search, Dijkstra's, A* and Rapidly Exploring Random Trees through guided exercises. You will implement Behavior Trees for task sequencing and experiment with a mobile manipulation robot "Tiago Steel".

Robotic Path Planning and Task Execution

位教师:Nikolaus Correll
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2,637 人已注册
您将学到什么
Use discrete planning techniques such as Dijkstra and A* to compute optimal robot trajectories.
Implement complex sequences of behaviors using behavior trees.
Plan and implement a complex robotic controller for autonomous mobile manipulation behavior.
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要了解的详细信息

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10 项作业
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该课程共有5个模块
Welcome to Robotic Path Planning and Task Execution. The first week in this course provides an introduction to path planning and presents a series of optimal algorithms for finding the shortest path on a graph that increase in complexity and efficiency. You will be introduced to various algorithms, including Bread-First Search to Dijkstra's and A*.
涵盖的内容
8个视频13篇阅读材料2个作业1个讨论话题
In this week, you will learn how to efficiently plan in non-grid worlds and in high-dimensional spaces.
涵盖的内容
1个视频4篇阅读材料4个作业
This week introduces you to a new programming abstraction known as "Behavior Trees", which offers solutions to shortcomings of Finite State Machines and simple reactive controllers.
涵盖的内容
1个视频4篇阅读材料2个作业1次同伴评审
This week you will learn how to extend a mobile base with a robotic arm and trigger the ability to grasp objects.
涵盖的内容
1个视频2篇阅读材料2个作业
In this last week, you will complete a final project to demonstrate your knowledge of both this course and the entire specialization. It consists of implementing a complete mobile manipulation solution.
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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