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
Robotic Path Planning and Task Execution
This course is part of Introduction to Robotics with Webots Specialization
Instructor: Nikolaus Correll
Access provided by Martin Luther Christian University
1,932 already enrolled
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
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 assignments
Taught in English
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Build your subject-matter expertise
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 5 modules in this course
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*.
What's included
8 videos12 readings2 assignments1 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 assignments
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 assignments1 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
1 video2 readings2 assignments
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
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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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