4 papers
ACME: A Multi-Cultural, Multi-Embodiment Social-Navigation Dataset
Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar +35
Understanding how robots and humans move in shared spaces is essential for designing effective social robot navigation policies and predicting human behavior. However, existing dat…
Bi3: A Biplatform, Bicultural, Biperson Dataset for Social Robot Navigation
Andrew Stratton, Phani Teja Singamaneni, Pranav Goyal +2
We contribute Bi3, a dataset of social robot navigation among groups of people in a constrained lab space. Compared to prior data collection efforts for social robot navigation, ou…
How Human Motion Prediction Quality Shapes Social Robot Navigation Performance in Constrained Spaces
Andrew Stratton, Phani Teja Singamaneni, Pranav Goyal +2
Motivated by the vision of integrating mobile robots closer to humans in warehouses, hospitals, manufacturing plants, and the home, we focus on robot navigation in dynamic and spat…
Characterizing the Complexity of Social Robot Navigation Scenarios
Andrew Stratton, Kris Hauser, Christoforos Mavrogiannis
Social robot navigation algorithms are often demonstrated in overly simplified scenarios, prohibiting the extraction of practical insights about their relevance to real-world domai…