- Develop new algorithms for safe and predictable collaborative autonomous systems that leverage edge computing architectures, specifically with focus on real-time multi-agent planning and control algorithms and novel approaches focused on aligning provable and perceived safety in HRI
- Run a key demonstrator in the indoor testbed involving autonomous robots interacting with humans, featuring the benefits of trustworthy edge computing in terms of safety and performance.
- To provide an arena for education (internships, thesis, projects, competitions), innovation and strategic collaboration in the area
- To synergetically collaborate with TECoSA projects SMEDE and CAR