XR4ALL 3rd Open Call Winners: Projects Selected for Phase 2

6 min readMay 13, 2021


XR4ALL is the first initiative by the European Commission to strengthen the European XR Industry. Co-funded by the European Union Horizon 2020 research and innovation programme, XR4ALL not only offers a highly-connected XR community, but also stimulates and promotes innovative XR solutions via three open calls and a solution catalogue.

Each XR4ALL Open Call consists of 2 phases. During the 1st phase “concept validation”, all open call winners can access a lump sum €10,000 in order to develop and experiment with their ideas from both business and technical perspectives. Only half of the best projects are admitted to the 2nd phase “development and integration”, during which each project will receive another €40,000 as funding to develop a viable product.

The third and final XR4ALL Open Call launched in June 2020 closed on 16 November 2020. Out of 154 applications, 16 projects were selected for the concept validation phase.

After careful evaluation, we are thrilled to announce the 8 winners that will participate in the second phase and each receive a €40,000 grant.

The winners are:

JYMIN for mimicry, Jymmin GmbH

🇩🇪 Jymin® App for facial movement and speech therapy

JYMIN is a Leipzig-based startup focused on combining fitness training with music creation. The app that is being developed uses XR technologies that capture the patient’s head, eye and face movements during mimicry training therapy. Thanks to this app, the patient will increase training engagement through direct music-visual feedback, and the therapist will be able to easily set up a training program for the patient.

Contact details: Gregor Urban, Project Manager

MVR, MedicalVR

🇳🇱 The future of lung-sparing surgical planning is now

MedicalVR develops pre-operative planning for cardio-thoracic surgeons by leveraging patient specific CT-scans and VR technology. The application visualises the patient-specific anatomy of organs in their natural states and enhances surgeons’ agency as they interact with the virtual organ to plan a surgical path. Thereby, their surgeries can be better planned, resulting in organ-sparing procedures whereby the unnecessary removal of healthy tissue is avoided for instance. With the XR4ALL call, MedicalVR plans to further develop the VR application to fine-tune interaction with the 3D model and improve bodily structures identification and labeling.

Contact details: Chris Hordijk, CEO and founder

DeepReality, Sinergia Consulenze srl

🇮🇹 Automatic Content Generation for eXtended Reality Applications

Despite the advancement in the XR applications, the tracking systems and generalisation are still limited. The DeepReality project is aimed at overcoming these limitations by implementing a Unity Plug-in, specifically designed to allow a smart integration of Artificial Intelligence and Deep Learning algorithms within XR applications. Deep Learning will improve environmental tracking by the app, and will train Deep Neural Network to automatically generate 3D contents.

Contact details: Luigi Mersico, Researcher Phd Candidate, Dr. Roberto Pierdicca, Post doc research fellow and contract professor

VR4HRC, Practical Robotics Institute Austria

🇦🇹 Virtual Reality for Human Robot Collaboration

Human-robot collaboration improves work efficiency and capacity, but safety of such work methods is worth full attention. The focus of the project VR4HRC will be to develop a VR solution which enables easier development, engineering and supervision of collaborative robotics systems. The developed VR framework will be able to simulate industrial robots and to interact with them intuitively. By including a physics engine with collision detection and inverse kinematics, the realism of the virtual environment of the proposed solution aims towards the physical space. The novelty lies with having VR integrated with ontology to describe the robot and environment, while enabling automatic configuration of the VR4HRC framework from the semantic description of the system.

Contact details: Dr. Munir Merdan, Scientific Director

TaViSc, Valkyrie Industries

🇬🇧 Tactile Virtual Sculpting

Valkyrie Industries has been developing haptic gloves to deliver the tactile impression to VR simulations. This project aims to create a VR sculpting software in combination with their haptic gloves while implementing mesh deformation. The sculpting haptic VR tool will become an enabler for many non-experts while allowing a natural and quick work with 3D objects for professionals and may be used by sight-impaired people.

Contact details: @ValkyrieInd, Dr. Ivan Isakov, Director

NextPlant DT, Augmented Reality Software S.L.

🇪🇸 Digital Twin Visualizer, Maintenance Manuals and Training Simulators with Augmented and Virtual Reality

The NextPlant is a learning and support platform which empowers technical experts to improve information efficiency. This project aims to extend the platform’s usability in industrial domains by creating a XR Solution to integrate industrial IoT data from multiple DTs of different companies. Workers can visualise data and even connect to industrial plant’s machines to control remotely in an AR or VR environment.

Contact details: @ARSOFTCOMPANY

RIALTO, R2M Solution

🇮🇹 augmented RealIty snAg Listing Tool for cOnstruction

R2M Solution is an Italian research and innovation company. Their project IALTO focuses on the construction sector, targeting clash detection and defect management reporting during inspections and post-construction maintenance. R2M Solution aims to conceptualise and develop an AR-based snag listing tool. The project will in turn allow to add some practical features to improve information exchange and time efficiency, such as, automatic location and measurements through HMD cameras and sensors, automatic displaying information over objects, overlaying and comparing design models to as-built models and the voice entry capabilities.

Contact details: @R2MSolution, Rubén Alonso, ICT & Robotics Division Coordinator

PREHUROCO, Institute for Computer Science and Control

🇭🇺 PREdictor of HUman RObot COllision

PREHUROCO is a B2B XR software package to prevent production interruptions for industrial system integrator companies. The objective is to develop a new interactive technology-based collision-avoidance software technology for Human-Robot Collaboration (HRC) in various manufacturing assembly tasks. By enabling clients to avoid interruptions, the service saves time and improves profitability for clients in the manufacturing industry.

Contact details: Peter Kovacs, Head of the Shared Virtual Reality Group




XR4Europe is a pan-European association created by members of the XR4ALL consortium in order to continue and amplify the actions of XR4ALL.