Students
Tuition Fee
SEK 2,500
Per course
Start Date
Not Available
Medium of studying
Fully Online
Duration
3 weeks

You've viewed 1/5 programs/universities. You can view up to 5 programs/universities

Create a free account to unlock full content!

By registering, you agree to our Privacy Statement and Terms and Conditions.

Details
Program Details
Degree
Courses
Major
Robotics Engineering | Artificial Intelligence | Computer Science
Area of study
Information and Communication Technologies | Engineering
Education type
Fully Online
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
SEK 2,500
About Program

Program Overview


Open for the Climate: Edge Computing in Robotics

Overview

The Edge Computing in Robotics course is a comprehensive program that provides an in-depth introduction to edge robotics, combining the power of robotics and edge computing. This course is designed for technicians, engineers, R&D and production managers, technical managers, and anyone driven by a passion for enhancing efficiency and fostering innovation in robotics.


Target Audience

  • Technicians
  • Engineers
  • R&D and production managers
  • Technical managers
  • Anyone driven by a passion for enhancing efficiency and fostering innovation in robotics

Pre-requisite Knowledge

  • Upper secondary school
  • Basic mathematics
  • Basic understanding of robotics
  • Programming skills (Python or C++)
  • Linux basic knowledge
  • Networking fundamentals

Course Details

  • Credentials: Certificate of completion
  • Start Date: Applications are accepted and the course starts on a rolling basis
  • Study Time: 3 weeks, 5 hours per week at the participant's own pace
  • Course Format: Online (recorded)
  • Language: English
  • Price: 2,500 SEK

What You Will Learn

  • The fundamentals of edge computing and its integration with robotics
  • How to set up and manage containerized applications using Docker, Kubernetes, and Helm for edge robotics
  • Techniques for implementing robotic applications such as SLAM and autonomous navigation and machine learning on edge devices
  • Methods for offloading computation in resource-constrained environments and managing multi-robot collaborations
  • Networking considerations for edge robotics, including Wi-Fi, cellular technologies, and addressing latency issues

What You Can Expect

  • A combination of theoretical lessons and technical demonstrations to help understand and implement edge robotics applications
  • Real-world examples and use cases to see how these technologies are applied in practice
  • Insights into the challenges and limitations of deploying robotic applications at the edge and how to overcome them

End Goal of the Course

The goal is to equip participants with the knowledge and skills to develop, deploy, and manage robotic applications using edge computing technologies. By the end of the course, participants will be able to set up edge computing environments, integrate robotic systems, and address real-world challenges in edge robotics.


Course Conduct

  • This is a self-paced course in English
  • Approximately 15 hours of training, including lectures and self-study

Passing the Course

Participants will receive a certificate upon completion of the course after completing a quiz.


Instructor

Rucha Sawlekar is a postdoctoral researcher in Robotics and AI at Luleĺ University of Technology. Her work focuses on neuromorphic computing and sensor fusion for subterranean environments. She is involved in several European and VINNOVA-funded projects.


About Open for the Climate

Open for the climate is an initiative funded by the Swedish government aimed at supporting society's climate transition through open, online-based education. The initiative is a collaboration between eight Swedish universities and offers short courses targeting professionals. The courses cover areas such as leadership for sustainable transformation, digitalization, circular economy, battery technology, and much more.


See More