Rohan Phanse
Papers
1
Total Citations
1
H-Index
1
About
Rohan Phanse is a researcher focused on advancing human-robot interaction (HRI), particularly in public and social settings. His key research area centers on predicting human intent to engage with autonomous robots, a critical challenge for deploying robots in crowded, real-world environments. Phanse’s major contribution is the creation of the People Approaching Robots Database (PAR-D), a novel collection of datasets designed to benchmark and train intent prediction models. This work addresses the gap in standardized resources for studying how humans signal their desire to interact with robots, enabling more natural and responsive robot behaviors. Although his most-cited paper, "Predicting Human Intent to Interact with a Public Robot," is recent (2024) with 1 citation, it represents a foundational step in a growing field, offering both a dataset and a predictive framework that can be built upon by other researchers. By tackling the subtle cues of human approach behavior, Phanse’s work has the potential to improve robot social intelligence, making public robots more intuitive and less intrusive. His research is particularly relevant for applications in service robotics, assistive technology, and autonomous navigation in human-centric spaces.
Research Focus
Key Achievements
Top Papers
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