Christina Petlowany

The University of Texas at Austin

Papers

3

Total Citations

16

H-Index

2

About

Christina Petlowany is a researcher at the forefront of human-robot interaction, specializing in augmented reality (AR) interfaces and scalable human-robot teaming. Her work addresses the critical challenge of enabling humans to collaborate effectively with multiple autonomous systems, particularly in complex environments. Petlowany’s major contribution is the development of **AugRE (Augmented Robot Environment)**, a novel AR system that superimposes real-time robot status and intent information onto the physical world, bridging the communication gap between humans and robots. This system, detailed in her most-cited paper (10 citations), leverages ROS-based architecture to enhance situational awareness and trust. She has further advanced the field by designing **gaze-based AR interfaces** that allow operators to manage multiple robots simultaneously without overwhelming cognitive load (4 citations). Her research also includes a pioneering **human-robot collaboration dataset** for cooperative assembly in glovebox environments (2 citations), supporting the Industry 5.0 vision of human-guided AI manufacturing. With a focus on scalable, intuitive interfaces, Petlowany’s work is shaping the future of human-robot teams in manufacturing, healthcare, and hazardous environments.

Research Focus

Key Achievements

2
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
AugRE: Augmented Robot Environment to Facilitate Human-Robot Teaming and Communication
10 citations · 2022
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago