5 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…
SocRATES: Towards Automated Scenario-based Testing of Social Navigation Algorithms
Shashank Rao Marpally, Pranav Goyal, Harold Soh
Current social navigation methods and benchmarks primarily focus on proxemics and task efficiency. While these factors are important, qualitative aspects such as perceptions of a r…
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning
Zeyu Feng, Hao Luan, Pranav Goyal +1
Operating effectively in complex environments while complying with specified constraints is crucial for the safe and successful deployment of robots that interact with and operate…