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An Episodic Long-Term Memory for Robots: The Bender Case

  • María-Loreto SánchezEmail author
  • Mauricio Correa
  • Luz Martínez
  • Javier Ruiz-del-Solar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9513)

Abstract

The main goal of this paper is to propose a framework for providing an episodic long-term memory for a robot, which includes methods for acquiring, storing, updating, managing and using episodic information. This will give a robot the ability to incorporate past experiences when interacting with humans, so that the data that the robot learns transcends each session, and thus gives continuity to its activities and behaviors. As a proof of concept, the implementation of an episodic long-term memory for the Bender robot is described. This includes the implementation and evaluation of a behavior called Conversation, which allows Bender to interact with people using the information stored in the episodic memory.

Keywords

Service robots Human-robot interaction Episodic memory RoboCup@Home 

Notes

Acknowledgments

This work was partially funded by FONDECYT Project 1130153.

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© Springer International Publishing Switzerland 2015

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Authors and Affiliations

  • María-Loreto Sánchez
    • 1
    • 2
    Email author
  • Mauricio Correa
    • 1
    • 2
  • Luz Martínez
    • 1
    • 2
  • Javier Ruiz-del-Solar
    • 1
    • 2
  1. 1.Advanced Mining Technology CenterUniversidad de ChileSantiagoChile
  2. 2.Department of Electrical EngineeringUniversidad de ChileSantiagoChile

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