Papers
9
Total Citations
323
H-Index
8
About
Francesco Zanlungo is a leading researcher in human-robot interaction, specializing in pedestrian-aware navigation and social robotics. His work bridges computational modeling and real-world deployment, with a focus on enabling robots to move safely and naturally among people. His most cited paper, "Towards a Socially Acceptable Collision Avoidance for a Mobile Robot Navigating Among Pedestrians Using a Pedestrian Model" (2014, 187 citations), introduced a framework that adapts pedestrian dynamics to robot motion, setting a benchmark for socially compliant navigation. He also pioneered the use of sub-goal concepts for long-term pedestrian trajectory prediction (2012, 52 citations), enabling robots to anticipate human goals and offer proactive services. Zanlungo’s research extends to group dynamics, modeling V-formations and side-by-side walking patterns to allow robots to accompany human groups (2019, 16 citations), and exploring the effects of flight in human-robot communication (2012, 12 citations). His work on cloud-networked robotics and standardization (2017, 9 citations) further advances autonomous mobility in social environments. With over 300 total citations, Zanlungo’s contributions are essential for designing robots that seamlessly integrate into crowded, dynamic spaces, making him a key figure in socially aware robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept52 citations · 2012
- 3Modeling the impact of interaction on pedestrian group motion19 citations · 2018
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- 7Social Group Motion in Robots11 citations · 2017
- 8
- 9Walk the Talk: Gestures in Mobile Interaction5 citations · 2017