UT Energy Week 2026: Augmented Reality for Radiation Situational Awareness

UT Energy Week 2026: Augmented Reality for Radiation Situational Awareness

by Frank Rigel and Fabian Paragil

Applied Sciences & Engineering Computing & Cybersecurity UYComputer scienceUYWAugmented reality (AR)
🎙 Frank Rigel and Fabian Paragil 👥 3K 📅 April 24, 2026 ⏱ 21 min 👁 35 📄 expert opinion 🧭 2026-08-15
Available in: English (current) Français

Keywords

augmented realityradiation visualizationhuman-robot interactiongesture recognitionCompton camera

Summary

This presentation from UT Energy Week 2026, given by Frank Rigel and Fabian Paragil from Dr. Mitch Pryor’s lab, focuses on using augmented reality (AR) to enhance situational awareness in radiation environments. The speakers first describe their work on human-robot teaming, where AR headsets enable bilateral communication and localization between humans and robots. They demonstrate how AR can provide beyond-line-of-sight awareness, stream live sensor data, and allow hands-free teleoperation. The talk then shifts to command and control, highlighting natural language and gesture-based commanding to make robot control more intuitive. They discuss the development of a dataset for gesture recognition in industrial settings and a pipeline for grounding pointing gestures from a single RGB camera. The second half, presented by Fabian, covers nuclear-specific applications: visualizing invisible radiation fields using AR, integrating object detection (e.g., YOLO) for sources like bananas, and using particle systems to represent alpha, beta, and gamma radiation. They also present a Compton camera integration that generates 3D radiation source localization. The talk concludes with a demonstration combining these elements, where a robot performs surveys and users can command it via gestures and voice, with radiation data overlaid in AR. The presentation highlights the potential for safer operations in nuclear settings by keeping humans in the loop while leveraging robotic data collection.

213 words

Critical Evaluation

Value of the Information & Strength of the Argument

The presentation offers valuable insights into the practical application of AR for radiation situational awareness, showcasing a working prototype that integrates multiple technologies. The argumentation is based on their lab’s research and demonstrations, providing concrete examples of how AR can improve safety and efficiency. However, the talk is more of a project overview than a rigorous scientific presentation, with limited quantitative data or comparisons to existing methods. The speakers acknowledge challenges, such as the lack of datasets for gesture recognition in industrial settings, and they describe their approach to address these gaps. The value lies in the innovative integration of AR, robotics, and radiation detection, but the argumentation would be stronger with more formal evaluation results.

Scientific Rigor, Source Quality, Title Accuracy

The presentation is scientifically grounded in the speakers’ own research, but they do not cite specific external sources or publications. The only link provided is to the UT Energy Week program, which does not contain detailed references. The title accurately reflects the content, focusing on AR for radiation situational awareness. The talk is a mix of technical description and demonstration, with some claims about the novelty of their work but without extensive literature review. The lack of citations reduces the scientific rigor, but the practical demonstrations and technical details lend credibility. The title is appropriate and not misleading.

229 words

Title / Content Match

The title accurately reflects the content, which focuses on augmented reality for radiation situational awareness.

Quality & Reliability

7/10

Presentation by researchers from a university lab, describing their own applied research and prototypes. No formal peer-reviewed sources cited, but the work is grounded in their lab's projects and includes technical details. Some claims lack external validation.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Concurring Sources

  • IAEA Use of Augmented Reality in Nuclear Applications — IAEA publication supporting the use of AR in nuclear settings.

Contribution & Novelties

The presentation contributes an integrated approach to radiation situational awareness by combining AR, robotics, and radiation detection. The novelty lies in the development of a human-robot teaming platform that uses AR for intuitive command and control, including gesture and voice recognition, and the integration of a Compton camera for real-time 3D radiation source localization. This work addresses the challenge of making radiation visible and enhancing operator awareness in nuclear environments.

Pour aller plus loin :

  • Compton camera — Relevant for understanding the gamma-ray imaging technology used.
  • Augmented reality in nuclear applications — IAEA publication on AR in nuclear fields.
  • Human-robot teaming — Overview of the field and its challenges.

109 words

Radar Profile

The radar profile shows balanced scores across all dimensions, with slightly lower scores in information quality and reliability, reflecting the lack of formal citations and quantitative evaluation. The high technical level and quantity of information indicate a detailed technical presentation, but the overall reliability is moderate due to the absence of external validation.

Reliability 7/10