Suzanne N. Butler
Papers
2
Total Citations
8
H-Index
2
About
Suzanne N. Butler’s research lies at the intersection of human perception, robotics, and teleoperation, with a focus on how operators judge spatial constraints when controlling remote systems. Her most-cited work, “Perception of Robot Passability and Aperture Width during Direct Line of Sight and Teleoperation Conditions” (2007), examines how accurately people perceive whether a robot can fit through an opening—both when viewing it directly and through a teleoperated interface. This study, which has garnered 6 citations, reveals critical differences in spatial judgment between direct line of sight and remote operation, highlighting challenges in teleoperation that affect robot navigation and safety. Butler’s contributions are foundational for designing more intuitive human-robot interfaces, particularly in search-and-rescue or hazardous environments where precise maneuvering is essential. Her work underscores the perceptual biases that emerge when operators rely on camera feeds rather than natural vision, informing the development of better feedback systems. Though her citation count is modest, Butler’s research offers practical insights for robotics engineers and cognitive scientists, bridging the gap between human perception and machine control. Her findings remain relevant as teleoperation becomes increasingly common in industry, medicine, and exploration.
Research Focus
Key Achievements
Top Papers
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