Portugal

The work carried out in our working group, has several direct societal impact,including:
Sustainable Growth - Digitisation of European Industry: As these techniques are very important for the future evolution of multimedia technology. Even if this models do not reach the general public, they are already used in specialized markets, like maintenance and health applications.
Sustainable Growth - Robotics and autonomous systems: Plenoptic models have been considered for instance for autonomous driving. Radiance Fields are technologies developed for robotic applications.
Key Enablers - Artificial Intelligence: Learning based solutions are currently being researched for data representation. JPEG AI and JPEG Pleno Learning based Point Cloud Coding are already two projects that use Learning based technology to enable data representation with very low bit rates . and also for Internet of Things (IoT): These models will provide reliable formats for the 3D description of the environment, which by its nature is of special importance fro IoT technology.

One of the direct impacts of my activity is widening the stakeholders' network that can also learn from the standard development and share domain-specific information that is relevant to implement use cases for the standard. It may be of particular interest to the TEF-Health European Project, which is establishing a test and experimentation facilities network across the EU, and I am part of the team and IPN which is leading the Portuguese node.

Moreover, by tailoring ISO 42001 and ISO 27001 to the education sector, the project directly strengthens the cybersecurity posture of educational institutions across Europe. This includes safeguarding sensitive student data and protecting educational infrastructures from cyber threats. Also, the development of specific guidelines ensures a harmonized approach to cybersecurity across European educational systems, fostering a more secure and resilient digital education environment.

The outcomes of this activity are very important for the robotics industry because it tackles concepts very close to real world deployment of robots to perform tasks, autonomously, within a robot group, and/or cooperating and/or collaborating with humans. This is a clear evolution of the IEEE RAS standards portfolio (previously focused on high-level concepts and definitions) and a valuable contribution to the robotics standards landscape in Europe and worldwide.