Raquel Galvan
Papers
1
Total Citations
30
H-Index
1
About
Raquel Galvan is a leading researcher in human-robot interaction and space telerobotics, with a focus on the cognitive and perceptual factors that govern operator performance. Her most-cited work, "Predicting space telerobotic operator training performance from human spatial ability assessment" (2012, 30 citations), established a foundational link between spatial cognitive abilities and the effectiveness of remote robotic control in space environments. This research has significant implications for astronaut training and the design of intuitive human-machine interfaces, helping to optimize how operators learn to manipulate robotic arms and vehicles in zero-gravity or remote settings. Galvan’s contributions are particularly valuable for advancing autonomous systems in aerospace, where precision and rapid adaptation are critical. Her work has been cited in studies on virtual reality training, cognitive load assessment, and adaptive robotics, underscoring its interdisciplinary impact. By bridging cognitive science with engineering, Galvan has helped shape safer and more efficient protocols for space exploration, making her a key figure in the development of next-generation telerobotic systems.
Research Focus
Key Achievements
Top Papers
- 1