Feel the Beat: Using Cross-Modal Rhythm to Integrate Perception of Objects, Others, and Self

Abstract

For a robot go to be capable of development, it must be able to explore its environment and learn from its experiences. It must find (or create) opportunities to experience the unfamiliar in ways that reveal properties valid beyond the immediate context. In this paper, we develop a novel method for using the rhythm of everyday actions as a basis for identifying the characteristic appearance and sounds associated with objects, people, and the robot itself. Our approach is to identify and segment groups of signals in individual modalities (sight, hearing, and proprioception) based on their rhythmic variations, then to identify and bind causally-related groups of signals across different modalities. By including proprioception as a modality, this cross-modal binding method applies to the robot itself, and we report a series of experiments in which the robot learns about the characteristics of its own body.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA434719

Entities

People

  • Artur Arsenio
  • Paul Fitzpatrick

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Acoustic Signals
  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Autonomous Systems
  • Children
  • Computer Science
  • Computer Vision
  • Detection
  • Frequency
  • Object Recognition
  • Psychological Theory
  • Psychology
  • Recognition
  • Repetition Rate
  • Robotics

Readers

  • Robotics and Automation.
  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy