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
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Robotic Path Planning and Task Execution
This course is part of Introduction to Robotics with Webots Specialization
Instructor: Nikolaus Correll
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
42 hours to complete
3 weeks at 14 hours a week
Flexible schedule
Learn at your own pace
Build toward a degree
What you'll learn
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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
9 quizzes
Taught in English
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This course is part of the Introduction to Robotics with Webots Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
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*.
What's included
8 videos10 readings2 quizzes1 discussion prompt
In this week, you will learn how to efficiently plan in non-grid worlds and in high-dimensional spaces.
What's included
1 video4 readings3 quizzes
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.
What's included
1 video4 readings2 quizzes1 peer review
This week you will learn how to extend a mobile base with a robotic arm and trigger the ability to grasp objects.
What's included
2 readings2 quizzes
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.
What's included
1 video1 peer review
Instructor
Offered by
Recommended if you're interested in Algorithms
University of Colorado Boulder
University of Colorado Boulder
EIT Digital
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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