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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.
