H Eberle
Papers
2
Total Citations
25
H-Index
2
About
H Eberle’s research sits at the intersection of robotics, human-robot interaction, and crowd dynamics, with a particular focus on how autonomous systems perceive and move through human-populated environments. In their most impactful work, Eberle pioneered the concept of Crowd-Robot Interaction (CRI), extending traditional human-robot interaction to the study of how robots influence pedestrian behavior and crowd motion. Their 2021 paper, “From HRI to CRI,” which has garnered 21 citations, presents a foundational gate-crossing experiment demonstrating that a robot’s presence measurably alters crowd flow—a finding with significant implications for deploying robots in public spaces like airports and shopping centers. Eberle also made notable contributions to robotic localization and sensor fusion, developing a model-based extended Kalman filter for semi-autonomous vehicles. This work, which achieved 4 citations, involved rigorous experimental parameter calibration and prototype testing, advancing the reliability of autonomous navigation in real-world conditions. Through these contributions, Eberle has helped bridge the gap between individual human-robot interaction and the complex dynamics of crowds, establishing a new subfield that is critical for the safe and effective integration of robots into our daily lives.
Research Focus
Key Achievements
Top Papers
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