Where2explore: Few-shot affordance learning for unseen novel categories of articulated objects
Articulated object manipulation is a fundamental yet challenging task in robotics. Due to
significant geometric and semantic variations across object categories, previous …
significant geometric and semantic variations across object categories, previous …
One-shot open affordance learning with foundation models
Abstract We introduce One-shot Open Affordance Learning (OOAL) where a model is trained
with just one example per base object category but is expected to identify novel objects and …
with just one example per base object category but is expected to identify novel objects and …
Preafford: Universal affordance-based pre-gras** for diverse objects and environments
Robotic manipulation with two-finger grippers is challenged by objects lacking distinct
graspable features. Traditional pre-gras** methods, which typically involve repositioning …
graspable features. Traditional pre-gras** methods, which typically involve repositioning …