11 citations · 13 across the 4 of their papers we have counts for
4 papers
Learning Correspondence for Deformable Objects
Priya Sundaresan, Aditya Ganapathi, Harry Zhang +1
We investigate the problem of pixelwise correspondence for deformable objects, namely cloth and rope, by comparing both classical and learning-based methods. We choose cloth and ro…
Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities
Shivin Devgon, Jeffrey Ichnowski, Michael Danielczuk +6
In industrial part kitting, 3D objects are inserted into cavities for transportation or subsequent assembly. Kitting is a critical step as it can decrease downstream processing and…
Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms
Shivin Devgon, Jeffrey Ichnowski, Ashwin Balakrishna +2
Orienting objects is a critical component in the automation of many packing and assembly tasks. We present an algorithm to orient novel objects given a depth image of the object in…
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
Michael Danielczuk, Ashwin Balakrishna, Daniel S. Brown +2
There has been significant recent work on data-driven algorithms for learning general-purpose grasping policies. However, these policies can consistently fail to grasp challenging…