Papers
9
Total Citations
104
H-Index
6
About
Steve Vozar’s research lies at the intersection of robotics, teleoperation, and human-robot interaction, with a focus on enabling robots to operate effectively in challenging, remote, or GPS-denied environments. His most impactful work, “FLAG: Feature-based Localization between Air and Ground” (25 citations), introduced a novel method for providing global position updates to ground robots by leveraging aerial imagery, addressing the critical problem of drift in dead-reckoning systems. Vozar also made significant contributions to teleoperation under time delay, developing driver models and virtual-fixture-assisted control to improve operator performance in tasks ranging from satellite thermal blanket manipulation (16 citations) to mobile robot steering under latency (9 citations). His pioneering use of augmented reality (AR) for mobile robot user interfaces, demonstrated in multiple papers (6 and 5 citations), enhanced spatial awareness and communication between humans and robots. Across his body of work, Vozar’s research has accumulated over 100 citations, reflecting its relevance to both space operations and field robotics. His achievements include advancing the practical deployment of teleoperated systems in high-stakes scenarios, such as on-orbit satellite servicing, making his work a valuable resource for students and researchers in robotics and human-machine systems.
Research Focus
Key Achievements
Top Papers
- 1FLAG: Feature-based Localization between Air and Ground25 citations · 2017
- 2Driver Modeling for Teleoperation with Time Delay22 citations · 2014
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- 8Predicting human performance during teleoperation3 citations · 2014
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