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20182024
most citedProbabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors

7 citations · 9 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.RO2024

Robot Learning as an Empirical Science: Best Practices for Policy Evaluation

Hadas Kress-Gazit, Kunimatsu Hashimoto, Naveen Kuppuswamy +5

The robot learning community has made great strides in recent years, proposing new architectures and showcasing impressive new capabilities; however, the dominant metric used in th…

cs.RO20221 cited

Cloth Funnels: Canonicalized-Alignment for Multi-Purpose Garment Manipulation

Alper Canberk, Cheng Chi, Huy Ha +4

Automating garment manipulation is challenging due to extremely high variability in object configurations. To reduce this intrinsic variation, we introduce the task of "canonicaliz…

cs.RO2022

DextAIRity: Deformable Manipulation Can be a Breeze

Zhenjia Xu, Cheng Chi, Benjamin Burchfiel +3

This paper introduces DextAIRity, an approach to manipulate deformable objects using active airflow. In contrast to conventional contact-based quasi-static manipulations, DextAIRit…

cs.RO20221 cited

Iterative Residual Policy: for Goal-Conditioned Dynamic Manipulation of Deformable Objects

Cheng Chi, Benjamin Burchfiel, Eric Cousineau +2

This paper tackles the task of goal-conditioned dynamic manipulation of deformable objects. This task is highly challenging due to its complex dynamics (introduced by object deform…

cs.RO2019

Grounding Language Attributes to Objects using Bayesian Eigenobjects

Vanya Cohen, Benjamin Burchfiel, Thao Nguyen +3

We develop a system to disambiguate object instances within the same class based on simple physical descriptions. The system takes as input a natural language phrase and a depth im…