4 citations · 6 across the 4 of their papers we have counts for
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…
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…
Discovering User-Interpretable Capabilities of Black-Box Planning Agents
Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava
Several approaches have been developed for answering users' specific questions about AI behavior and for assessing their core functionality in terms of primitive executable actions…
Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming
Mehrdad Zakershahrak, Shashank Rao Marpally, Akshay Sharma +2
Prior work on generating explanations in a planning and decision-making context has focused on providing the rationale behind an AI agent's decision making. While these methods pro…