SENSORAMA at a Glance

A Common Foundation for High-Fidelity and Adaptive XR Training

Today’s multimodal XR systems often rely on separate rendering pipelines, devices and data structures. This fragmentation makes it difficult to synchronize sensory feedback, reuse components across applications and deliver consistent experiences with the realism needed for advanced training. 
SENSORAMA addresses this challenge through a two-pillar approach.

The first pillar develops the base technologies: a unified multimodal data model, low-latency synchronization, enhanced haptic devices, spatial audio, biofeedback, speech interaction and AI-driven adaptation. The second pillar validates these technologies in five use cases spanning healthcare, education and industry.

Our Vision

SENSORAMA envisions an open and interoperable European XR ecosystem in which developers can combine multiple sensory modalities more easily and training providers can create realistic, adaptive and trustworthy learning experiences. 

Our Mission

The project will connect research, device innovation, software integration and user validation to deliver reusable multimodal XR building blocks. It will also embed privacy, safety, inclusion and ethical oversight throughout development and testing. 

Project Facts

Programme

Horizon Europe – Research and Innovation Action (RIA)

Project Number

101297303

Duration

36 months, from 1 September 2026 to 31 August 2029

Consortium

15 organisations from nine European countries, coordinated by the University of Bremen

EU Contribution

EUR 5,999,800

Core Validation

Five multimodal XR training applications integrating at least four sensory modalities each

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