Xiaoxin Lin

Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search

Recent progress in robotics and embodied AI is largely driven by Large Multimodal Models (LMMs). However, a key challenge remains underexplored: how can we advance LMMs to discover tasks that assist humans in open-future scenarios, where human intentions are highly concurrent and dynamic. In this wo