Learning from Demonstration in Spatial Exploration

Authors

  • J. Munoz Brooklyn College, City University of New York
  • Arif Ozgelen The Graduate Center, City University of New York
  • Elizabeth Sklar Brooklyn College, City University of New York

DOI:

https://doi.org/10.1609/aaai.v25i1.8000

Abstract

We present the initial stage of our research on Learning from Demonstration algorithms. We have implemented an algorithm based on Confident Execution, one of the components of the Confidence-Based Autonomy algorithm developed by Chernova and Veloso. Our preliminary experiments were conducted first in simulation and then using a Sony AIBO ERS-7 robot. So far, our robot has been able to learn crude navigation strategies, despite limited trials. We are currently working on improving our implementation by including additional features that describe more broadly the state of the agent. Our long term goal is to incorporate Learning from Demonstration techniques in our HRTeam (human/multi-robot) framework.

Downloads

Published

2011-08-04

How to Cite

Munoz, J., Ozgelen, A., & Sklar, E. (2011). Learning from Demonstration in Spatial Exploration. Proceedings of the AAAI Conference on Artificial Intelligence, 25(1), 1878-1879. https://doi.org/10.1609/aaai.v25i1.8000

Issue

Vol. 25 No. 1 (2011): Twenty-Fifth AAAI Conference on Artificial Intelligence

Section

Robotics Program