Learning partial ordering constraints from a single demonstration

Authors:
Anahita Mohseni-Kabir;Charles Rich;Sonia Chernova
Affiliations:
Worcester Polytechnic Institute, Worcester, MA, USA;Worcester Polytechnic Institute, Worcester, MA, USA;Worcester Polytechnic Institute, Worcester, MA, USA
Venue:
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Year:
2014

Citing 4
Cited 0

Collagen: applying collaborative discourse theory to human-computer interaction

AI Magazine
A survey of robot learning from demonstration

Robotics and Autonomous Systems
Building Task-Based User Interfaces with ANSI/CEA-2018

Computer
Incremental Learning of Tasks From User Demonstrations, Past Experiences, and Vocal Comments

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Current approaches to learning partial ordering constraints by demonstration require demonstrating all (or almost all) possible completion orders. We have developed an algorithm that, for plans involving relative placement of objects, learns the partial ordering constraints from a single demonstration by letting the user specify naturally conceived reference frame information. This work is an example of a broader research agenda that involves applying principles of human collaboration to robot learning from demonstration.