Frank Regal

The University of Texas at Austin

Papers

2

Total Citations

12

H-Index

2

About

Frank Regal is a pioneering researcher at the intersection of augmented reality (AR) and robotics, dedicated to making human-robot interaction more intuitive, safe, and efficient. His primary research areas include human-robot teaming, mixed reality interfaces, and interactive robot programming. Regal’s most significant contribution is the development of **AugRE (Augmented Robot Environment)** , a system that overlays real-time robot intent, status, and sensor data directly onto the physical workspace. This work, which has garnered 10 citations since 2022, fundamentally addresses the challenge of robot transparency, allowing operators to “see” what a robot is thinking. Building on this, his more recent work, **AR-STAR** (2024), tackles a critical industrial problem: enabling operators to dynamically modify a robot’s perception of its environment—specifically its point cloud data—through an AR interface. This allows for online correction of uncertainties during maintenance and inspection tasks, preventing costly failures and unsafe conditions. By bridging the gap between digital information and physical action, Regal’s research is laying the groundwork for a future where humans and robots collaborate seamlessly in complex, real-world environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
AugRE: Augmented Robot Environment to Facilitate Human-Robot Teaming and Communication
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago