43 citations · 130 across the 71 of their papers we have counts for
3 papers · 1 filter
Learning to Infer Kinematic Hierarchies for Novel Object Instances
Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo +2
Manipulating an articulated object requires perceiving itskinematic hierarchy: its parts, how each can move, and howthose motions are coupled. Previous work has explored per-ceptio…
Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors
Benjamin Burchfiel, George Konidaris
We introduce a new method for category-level pose estimation which produces a distribution over predicted poses by integrating 3D shape estimates from a generative object model wit…
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision
Benjamin Burchfiel, George Konidaris
We introduce Hybrid Bayesian Eigenobjects (HBEOs), a novel representation for 3D objects designed to allow a robot to jointly estimate the pose, class, and full 3D geometry of a no…