Capability-based Synthesis for Intelligent Automation

Abstract

This project defines and develops capability specifications of AI components used in autonomous systems. These specifications permit automatic synthesis of correct-by-construction high-level behaviors to enable intelligent automation of complex systems. This research will develop and apply these capability-based synthesis techniques to define autonomous behaviors using a combination of Hierarchical Finite State Machines and Behavior Trees. The approach will be demonstrated using the DDS-based Robot Operating System and the Flexible Behavior Engine. This provides a demonstration of the capability-based synthesis approach and provides an open-source platform for training new users in the tools of automatic synthesis, validation, and verification of autonomous system behaviors

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 11, 2025
Source ID
N001742310018

Entities

People

  • David Conner

Organizations

  • Christopher Newport University
  • United States Navy

Tags

Fields of Study

  • Computer science
  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Software Engineering.

Technology Areas

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