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Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery
This paper introduces a sample-efficient method that learns a robust reward function from a limited amount of ranked suboptimal demonstrations consisting of partial-view point cloud observations.
DefGoalNet: Contextual Goal Learning from Demonstrations For Deformable Object Manipulation
An issue arises, however, with the reliance on the specification of a goal shape.
DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects
Applications in fields ranging from home care to warehouse fulfillment to surgical assistance require robots to reliably manipulate the shape of 3D deformable objects.
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