Computer Graphics + eXtended Reality

xReality Group

Solving for X  in eXtended Reality.

Group Overview

XR as a mathematical wonderland.

The xReality Group conducts research at the intersection of Computer Graphics and eXtended Reality (XR). The many realities within XR serve as an incredibly rich and stimulating mathematical wonderland  filled with unique technical and design challenges. When solved, these challenges unlock deeply engaging and meaningful experiences.

Our research operates along two primary axes:

The Technical Axis

We revisit and redesign computer graphics techniques to meet the demanding requirements of XR, namely real-time performance and user experience quality.

The Interaction Axis

We design and evaluate novel spatial interfaces and interaction techniques aimed at augmenting human perception and action in domains where immersive interaction offers a clear advantage over traditional computing.

Our research addresses both fundamental and applied challenges in XR. Currently, it includes work in real-time computer graphics, with a focus on collision detection and human motion processing, as well as a range of application domains where we investigate how XR can enhance the way people learn, train, analyze, create, and collaborate.

These domains include computational gastronomy, spatial content creation, medicine (orthopedic surgery, breast surgery, and dentistry), and education (for teaching, learning, and knowledge refresh).

We believe the computer graphics techniques and immersive prototypes developed within our group will help shape the products and experiences adopted by millions of users in the years to come. By deeply engaging students in our research projects, we advance the state of the art in spatial computing and train the next generation of researchers, engineers, and XR innovators.

The xReality Group was founded in 2023 and is directed by Daniel Simões Lopes.

Vision

Solving for X in eXtended Reality.

We envision a computing future liberated from the flat, 2D status quo that still confines us: a world where Real Reality is deeply entangled with Virtual Realities.

In this future, XR has transcended hype to become a widespread, viable tool of true utility, an essential everyday medium seamlessly integrated into the specific domains where it excels. Ultimately, it is a world where computing is freed into three-dimensional space, serving as an intuitive paradigm built entirely to augment and heighten human capabilities.

To unlock this future, we need to address its core technical and design challenges. We need to solve a lot of Xs in eXtended Reality.

Three faceted humanoids on a neon grid: one seated at a computer, one manipulating a tesseract in VR, and one drawing a long 3D stroke with a VR pen in their left hand.
Mission

Six directions mapping our solution space.

Our group actively bridges foundational computer graphics with human-centered design and open-source deployment, establishing the practical blueprint required to realize engaging, next-generation spatial experiences.

Advance the computer graphics techniques required to power efficient XR systems.

Reframe computer graphics as a foundational pillar of XR design where technique directly influences the quality of the spatial user experience.

Investigate, prototype, build, and evaluate immersive systems for fields where spatial computing provides definitive advantages, using user insight, behavior, and perception as the primary catalyst of the XR development loop.

Bridge XR research and real-world applications, collaborating with industries and communities to deploy XR in domains of true utility and prototyping the next generation of consumer and professional systems.

Democratize XR by openly sharing software materials and hardware blueprints, ensuring spatial computing remains universally accessible, effective, and meaningful.

Educate and mentor the next generations of students, researchers, engineers, and XR innovators, combining rigorous scientific training with advanced computer graphics to deliver the intuitive, high-impact spatial interfaces of tomorrow.

Current Research Themes

Where the group is solving X.

Current work ranges from real-time graphics problems to human-centered XR applications in food, spatial creation, medicine, and education.

Collision Detection

Real-time collision detection between convex shapes for accurate and efficient spatial simulation.

Motion Processing

Transforming human micro-movements into meaningful signals for spatial interaction and biosignal analysis.

Computational Gastronomy

Augmenting human experience and literacy around food through XR.

Spatial Content Creation

Designing spatial tools for more natural 3D modeling and prototyping.

Medical XR

Co-designing XR systems for medical education, training, diagnostics, and surgical support.

Publications

Selected research outputs.

We share our research through peer-reviewed journal articles and conference papers, consistently backed by open-source code and video demonstrations.

For work related to the previous iteration of the x Reality Group (pre-2023), please visit Daniel Simões Lopes' personal website. For the full list of publications, XR-related or otherwise, visit Daniel's Google Scholar profile.

Team

The people behind the research.

Our group brings together the upcoming generation of computer scientists and engineers driven to push the boundaries of computer graphics and spatial computing.

Daniel Simões Lopes
Daniel Simões Lopes
Group Director
Computer Graphics & XR
Rodrigo Damasceno
Rodrigo Damasceno
Collaborator
Collision Detection
Lourenço Mourão
Lourenço Mourão
Ph.D Candidate
Collision Detection
Carolina Gomes
Carolina Gomes
Ph.D. Candidate
Vet XR
David Pinto, MD
David Pinto, MD
Ph.D. Candidate
Medical XR
Rafaela Timóteo
Rafaela Timóteo
Ph.D. Candidate
Medical XR
Martim Auriault
Martim Auriault
M.Sc. Candidate
Collision Detection
Maria Santos
Maria Santos
M.Sc. Candidate
Motion Processing
Rodrigo Ferreira
Rodrigo Ferreira
M.Sc. Candidate
Motion Processing
Francisco Nascimento
Francisco Nascimento
M.Sc. Candidate
Computational Gastronomy
Bruna Dias
Bruna Dias
M.Sc. Candidate
Medical XR
Carlos Silva
Carlos Silva
M.Sc. Candidate
XR
Contact

Connect with the xReality Group.

For research conversations, student inquiries, collaborations, or applied XR projects, contact Daniel Simões Lopes or visit us at the Interactive Technologies Institute .

Email

daniel.s.lopes@tecnico.ulisboa.pt

Office

Interactive Technologies Institute
TTC@ULisboa
Av. Prof. Gama Pinto 2
1649-003 Lisboa

University

Departamento de Engenharia Informática
Instituto Superior Técnico
Universidade de Lisboa
Av. Rovisco Pais 1
1049-001 Lisboa, Portugal