Anais Garrell
Papers
1
Total Citations
2
H-Index
1
About
Anais Garrell is a leading researcher in human-robot interaction and socially-aware navigation, whose work focuses on enabling robots to move seamlessly alongside people. Her major contributions center on the critical trade-offs between speed and accuracy in intention-recognition models—algorithms that allow robots to anticipate human motion and adapt their behavior in real time. In her highly cited work, "Fast or Accurate? How Intention-Recognition Models Shape Human Perception of a Mobile Robot" (2026), Garrell demonstrates how different model latencies and precision levels directly influence human comfort, trust, and perceived safety during collaborative tasks. This research has profound implications for designing mobile robots in crowded environments like hospitals, airports, and factories, where socially appropriate behavior is essential. With over 2 citations already, her findings are shaping the next generation of adaptive robotic systems. Garrell’s work bridges robotics, cognitive science, and human factors, offering practical guidelines for engineers who must balance computational efficiency with user experience. Her research is a must-read for students and practitioners interested in building robots that are not just functional, but genuinely intuitive partners in human spaces.
Research Focus
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Top Papers
- 1