An Initial Approach for Learning Objects from Experience

Abstract

The US Army Research Laboratorys Vehicle Technology Directorate (VTD) and the Human Research and Engineering Directorate, as part of VTDs 6.1 refresh program, have initiated a program called Adaptive Perception Processes for Learning from Experience (APPLE). The programs goal is to develop a set of perception capabilities that are sufficient to enable continuous object learning, where new object instances and categories can be learned from experience in an open-set framework. We have shown preliminary results from initial tests using a motion detection algorithm to delineate objects which are then fed to a simple feed-forward neural network without any other processes in the pipeline. Our neural network trains to an asymptote of acceptable performance and our topology can be defined using our nonparametric model. ARL will continue research to determine the best algorithms to use in the pipeline for the APPLE program.

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Document Details

Document Type
Technical Report
Publication Date
May 02, 2018
Accession Number
AD1051419

Entities

People

  • Jonathan Milton
  • Sean M. Mcghee
  • Troy D. Kelley

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Vision
  • Detection
  • Engineering
  • Information Processing
  • Information Systems
  • Learning
  • Machine Learning
  • Military Research
  • Motion Capture
  • Neural Networks
  • Object Recognition
  • Perception
  • Recognition
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Instructional Design and Training Evaluation.
  • Neural Network Machine Learning.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks