The concept of virtual research rooms

To enable a rich and dynamic exchange of ideas among the experts from the different research areas represented in CeTI we use the concept of virtual research rooms (VRR). We foresee a cross-level hierarchy from disciplinary talent pool (TP) rooms that group all principal investigators (PI) from a single domain, over interdisciplinary key concept (K) rooms, in which experts from different disciplines co-operate on shared innovative solutions, to the use case (U) rooms.

To enable a rich and dynamic exchange of ideas among the experts from the different research areas represented in CeTI we use the concept of virtual research rooms (VRR). We foresee a cross-level hierarchy from disciplinary talent pool (TP) rooms that group all principal investigators (PI) from a single domain, over interdisciplinary key concept (K) rooms, in which experts from different disciplines co-operate on shared innovative solutions, to the use case (U) rooms.

The U rooms

We have identified three use case rooms that are designated for three application domains, namely Medicine (U1), Industry (U2), and Internet of Skills (U3).

How can we advance
medical care?

By developing next-generation computer- and robotic-assisted surgery and training.
INNOVATION

Holistic sensor-based acquisition of clinical expertise for context-aware assistance and skill transfer.

EXPERTISE

Excellent and unique interdisciplinary expertise (computer-assisted surgery, robotics, computer science) and unique infrastructure.

EXPECTED RESULTS

New quality of patient care and medical training by augmenting clinical performance and training based on a library of surgical skills.

A person and a robotic arm working together in production

How can we advance
work routines?

By creating a seamless human–robot collective in both real and virtual worlds.
INNOVATION

Connect humans with tactile robots to collectively learn millions of manipulation skills.

EXPERTISE

Leadership in various fields related to robotics and learning.

EXPECTED RESULTS

Valuable insights into large-scale collective robot learning. Fully working avatar station providing full immersion.

Woman playing the piano, with the help of imaginary robotic arms

How can we advance
training technologies?

By developing innovative training technologies for the public.
INNOVATION

Immersive privacy-preserving training of skilled behaviours through embedded low latency sensors and actuators.

EXPERTISE

Outstanding knowledge in smart learning, smart textiles and perspicuity, and cloud security.

EXPECTED RESULTS

Insights on benefits and boundary conditions of using TaHiL-technology for learning in real settings.

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