3 papers
cs.RO2025
CRAFT-E: A Neuro-Symbolic Framework for Embodied Affordance Grounding
Zhou Chen, Joe Lin, Carson Bulgin +1
Assistive robots operating in unstructured environments must understand not only what objects are, but what they can be used for. This requires grounding language-based action quer…
cs.CV2025
Generalized Event Partonomy Inference with Structured Hierarchical Predictive Learning
Zhou Chen, Joe Lin, Sathyanarayanan N. Aakur\\
Humans naturally perceive continuous experience as a hierarchy of temporally nested events, fine-grained actions embedded within coarser routines. Replicating this structure in com…
cs.CV2025
CRAFT: A Neuro-Symbolic Framework for Visual Functional Affordance Grounding
Zhou Chen, Joe Lin, Sathyanarayanan N. Aakur
We introduce CRAFT, a neuro-symbolic framework for interpretable affordance grounding, which identifies the objects in a scene that enable a given action (e.g., "cut"). CRAFT integ…