Robotic Path Planning and Task Execution
Master robot trajectory optimization and task sequencing using advanced algorithms, simulation tools, and practical implementation in robotic systems.
Master robot trajectory optimization and task sequencing using advanced algorithms, simulation tools, and practical implementation in robotic systems.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Introduction to Robotics with Webots Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
ଓଡ଼ିଆ
Powered by
What you'll learn
Implement optimal robot trajectory planning using Dijkstra and A* algorithms
Develop complex behavior sequences with behavior trees
Create autonomous mobile manipulation controllers
Master collision checking and randomized planning algorithms
Apply path planning techniques to real-world robotics scenarios
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
9 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive course focuses on advanced robotic path planning and task execution techniques. Students learn to develop and implement essential algorithms including Breadth-First Search, Dijkstra's, A*, and Rapidly Exploring Random Trees. The curriculum covers behavior trees for complex task sequencing and practical implementation using the Tiago Steel mobile manipulation robot. Through hands-on projects, students gain experience in collision checking, randomized algorithms, and mobile manipulation, culminating in a final project that demonstrates mastery of both planning and execution concepts.
Path Planning
Module 1 · 7 Hours to complete
Collision Checking and Randomized Algorithms
Module 2 · 6 Hours to complete
Behavior Trees
Module 3 · 8 Hours to complete
Basic Manipulation
Module 4 · 6 Hours to complete
Final Project for This Specialization
Module 5 · 12 Hours to complete
Fee Structure
Instructor
Professor of Computer Science
Nikolaus Correll is a Professor of Computer Science at the University of Colorado Boulder, where he has been a faculty member since 2009. He previously served as a post-doctoral associate at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). Nikolaus earned his Ph.D. in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL) in 2007 and holds a degree in Electrical Engineering from Eidgenössische Technische Hochschule (ETH) Zurich, obtained in 2003.His research focuses on reasoning under uncertainty in robotic manipulation and swarm robotics, areas that are critical for advancing autonomous systems. Nikolaus has received several prestigious awards, including the NASA Early Career Faculty Fellowship in 2012, the National Science Foundation's CAREER award, and the Provost Achievement Award at CU Boulder in 2016. He is recognized for his contributions to the field through keynote talks at international conferences and has received multiple best paper awards. At CU Boulder, he teaches courses such as "Basic Robotic Behaviors and Odometry," "Robotic Mapping and Trajectory Generation," and "Robotic Path Planning and Task Execution," equipping students with essential skills in robotics and automation. Through his work, Nikolaus Correll continues to shape the future of robotics research and education.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.