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!

Target audience: Technicians, Engineers, R&D and production managers, Technical managers, Anyone driven by a passion for enhancing efficiency and fostering innovation in robotics.

Prerequisite-knowledge: Upper secondary school, Basic mathematics, Basic understanding of robotics, Programming skills (Python or C++), Linux basic knowledge, Networking fundamentals.

Course content:

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.

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 you need to:

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

Teacher

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, such as OptiScrap and REBOOT Skills.

George Nikolakopoulos is Chair on Robotics and AI and a Professor on Robotics and Automation at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology, Luleå, Sweden. His research team’s work has been included 4 times in a row at IVA top 100 list of the Royal Academy of Engineers in Sweden.

He is a member of the Board of Directors at euRobotics, a member of the Scientific Council of ARTEMIS in the field of Robotics and AI, a member of the IFAC TC on Robotics. an elected expert for the permanent working group (PWG) of A.SPIRE with a focus on Process Optimisation and Ultra Carbon Coal, as well as an elected member on the Aeneas-XECS in embedded control systems. He has also established the Digital Innovation Hub on Applied AI at Luleå University of Technology and created 2 spin-offs.