most citedLTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning

4 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Rethinking Legibility in Social Robot Hallway Navigation: Impact of Intent Representation and Human Distraction

Pranav Goyal, Andrew Stratton, Christoforos Mavrogiannis

We focus on legible robot motion generation in social navigation settings. Legibility in human-robot interaction (HRI) is often described as the property of robot motion that enabl…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2024

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…

cs.RO2024★ 4 cited

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…