Shared Perception, Cognition and Reasoning for Autonomy

Abstract

The overarching goal of our work in this grant was the development of a novel theory (including relevant mathematical models, methods, analytics and algorithms) and its implementation for the integration of perception, control and symbolic knowledge in cognitive systems that can interpret human actions and support autonomy. The central problem driving the research is the task-driven integration of perception, control and language.

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Document Details

Document Type
Technical Report
Publication Date
Jun 12, 2022
Accession Number
AD1192331

Entities

People

  • John Baras

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Autonomous Systems
  • Computational Science
  • Computer Languages
  • Computer Vision
  • Context Free Grammars
  • Control Systems
  • Detection
  • Detectors
  • Engineering
  • Engineers
  • Human-Robot Interaction
  • Language
  • Machine Learning
  • Mathematical Models
  • Neural Networks
  • Pattern Recognition
  • Reasoning
  • Recognition
  • Signal Processing
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Vision.