Affiliation:
1. Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA
Abstract
Robots that succeed in factories may struggle to complete even the simplest daily task that humans take for granted, because the change of environment makes the task exceedingly difficult. Aiming to teach robots to perform daily interactive manipulation in a changing environment using human demonstrations, we collected our own data of interactive manipulation. The dataset focuses on the position, orientation, force, and torque of objects manipulated in daily tasks. The dataset includes 1,603 trials of 32 types of daily motions and 1,596 trials of pouring alone, as well as helper code. We present our dataset to facilitate the research on task-oriented interactive manipulation.
Funder
National Science Foundation
Subject
Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modeling and Simulation,Software
Cited by
28 articles.
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