CORTEX² is developing a highly innovative and digital XR teleconference platform specifically geared to facilitate work and social activities involving physical interaction with the environment and remote objects – from remote assistance or training to working in collaborative spaces.

Open Call #2 Co-development aims to recruit tech Startups, SMEs and/or research organisations to participate in the co-development of CORTEX² with the goal to build value-added services based on the CORTEX² framework leveraging their expertise on specific market segments.

The project will implement three different use cases as pilots to test the integration of all the components of the CORTEX² framework.

• Pilot 1 – Industrial Remote Cooperation: The pilot will demonstrate that an XR immersive experience can be reached with heterogeneous and off-the-shelf mobile devices and with limited bandwidth conditions while improving productivity and reducing environmental footprint.
• Pilot 2 – Remote Technical Training: The pilot will demonstrate that VR/AR allow for efficient knowledge transmission in one-to-many situations where the remote instructor can simultaneously help several trainees while referring to physical objects such as industrial equipment.
• Pilot 3 – Business meetings: The pilot will demonstrate that VR/MR enriched business meetings allow seamless integration of remote participants and improve productivity.

The selected 3rd parties will be co-building an interdisciplinary community with expertise from the areas of XR, AR, users’ providers of videoconferencing, AI, psychology and ethics with the mission of building next-generation extended reality tele-cooperation solutions.

Applicants should choose one of the following topics to apply to, or they can also apply for an open topic aligned with the CORTEX2 framework and objectives.

• Embodied Avatar
• Smart generator
• Virtual Experiences Editor
• MPRR (Multi Person reaction Recognition)
• Gaussian-splatting-based reality capture for VR
• 3D model database
• Real-time voice translation
• Аnonymising meeting’s content for privacy-free data storage