Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation

Tao Chen1     Eric Cousineau2     Naveen Kuppuswamy2     Pulkit Agrawal1
1Improbable AI Lab, MIT CSAIL     2Toyota Research Institute


Abstract


Recent studies have made significant progress in addressing dexterous manipulation problems, particularly in in-hand object reorientation. However, there are few existing works that explore the potential utilization of developed dexterous manipulation controllers for downstream tasks. In this study, we focus on constrained dexterous manipulation for food peeling. Food peeling presents various constraints on the reorientation controller, such as the requirement for the hand to securely hold the object after reorientation for peeling. We propose a simple system for learning a reorientation controller that facilitates the subsequent peeling task.


Paper


Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation
Tao Chen, Eric Cousineau, Naveen Kuppuswamy, Pulkit Agrawal
project page


Teaser






Visual Dexterity: In-hand Dexterous Manipulation from Depth
Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal
Science Robotics / arXiv / project page / bibtex


A System for General In-Hand Object Re-Orientation
Tao Chen, Jie Xu, Pulkit Agrawal
Conference on Robot Learning (CoRL), 2021 (Best Paper Award)
paper / arXiv / project page / bibtex