most citedBeyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

16 citations · 19 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO2023

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao +36

The ability to leverage heterogeneous robotic experience from different robots and tasks to quickly master novel skills and embodiments has the potential to transform robot learnin…

cs.LG2023

: Policy Representations with Successor Features

Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci +3

This paper describes , a method for representing behaviors of black box policies as feature vectors. The policy representations capture how the statistics of founda…

cs.LG20233 cited

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation

Mohit Sharma, Claudio Fantacci, Yuxiang Zhou +4

Recent works have shown that large models pretrained on common visual learning tasks can provide useful representations for a wide range of specialized perception problems, as well…

cs.RO202116 cited

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

Alex X. Lee, Coline Devin, Yuxiang Zhou +18

We study the problem of robotic stacking with objects of complex geometry. We propose a challenging and diverse set of such objects that was carefully designed to require strategie…

cs.RO2021

In Situ Translational Hand-Eye Calibration of Laser Profile Sensors using Arbitrary Objects

Prajval Kumar Murali, Ines Sorrentino, Angelo Rendiniello +8

Hand-eye calibration of laser profile sensors is the process of extracting the homogeneous transformation between the laser profile sensor frame and the end-effector frame of a rob…