Open for the climate: Edge computing in robotics
Unlock the future of robotics with our comprehensive Edge Computing in Robotics course! This comprehensive course provides an in-depth introduction to edge robotics, combining the power of robotics and edge computing. Learn how to build, deploy, and manage cutting-edge robotic applications at the edge, tackle real-world challenges like resource limitations and networking, and explore innovative use cases driving industry transformation. Perfect for professionals eager to lead the next wave of robotics innovation!
Overview
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.
Credentials: Certificate of completion
Start date: January 27, 2025
Study time in hours: 3 weeks, 5h per week at your 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 you 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
What is the end goal of the course
The goal is to equip you with the knowledge and skills to develop, deploy, and manage
robotic applications using edge computing technologies. By the end of the course, you will be able to set up edge computing environments, integrate robotic systems, and address real world challenges in edge robotics.
How the course will be conducted
- This is a self-pace course in English
- Approximately 15 hours of training including lectures and self-study
To pass the course
Participants will receive a certificate upon completion of the course after completing a quiz.
Lärare
Rucha Sawlekar is a postdoctoral researcher in Robotics and AI at Luleå 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 like OptiScrap and REBOOT Skills.
Registration
Contact
LTU Professional Education uppdragsutbildning@ltu.se
What is 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.
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