5 papers
MistyPilot: Enabling Social-Robot Control through Multi-Agent LLM Skill Orchestration
Xiao Wang, Lu Dong, Ifeoma Nwogu +2
Programming small social robots from natural-language instructions requires more than invoking isolated APIs. Interactive tasks combine reactive physical behaviors with stateful so…
ConfusionBench: An Expert-Validated Benchmark for Confusion Recognition and Localization in Educational Videos
Lu Dong, Xiao Wang, Mark Frank +3
Recognizing and localizing student confusion from video is an important yet challenging problem in educational AI. Existing confusion datasets suffer from noisy labels, coarse temp…
InterventionLens: A Multi-Agent Framework for Detecting ASD Intervention Strategies in Parent-Child Shared Reading
Xiao Wang, Lu Dong, Ifeoma Nwogu +2
Home-based interventions like parent-child shared reading provide a cost-effective approach for supporting children with autism spectrum disorder (ASD). However, analyzing caregive…
MistyPilot: An Agentic Fast-Slow Thinking LLM Framework for Misty Social Robots
Xiao Wang, Lu Dong, Jingchen Sun +3
With the availability of open APIs in social robots, it has become easier to customize general-purpose tools to meet users' needs. However, interpreting high-level user instruction…
AutoMisty: A Multi-Agent LLM Framework for Automated Code Generation in the Misty Social Robot
Xiao Wang, Lu Dong, Sahana Rangasrinivasan +3
The social robot's open API allows users to customize open-domain interactions. However, it remains inaccessible to those without programming experience. In this work, we introduce…