Optimizing Formation Movement Over Heterogeneous Terrain

Abstract

Formation movement is vital to preserve security among its units during military operations. We plan movement of a military formation over real, or simulated terrain, maximally preserving the relative positions of units in formation while it avoids barriers, and while its units avoid obstacles. Terrain is divided into homogeneous cells (say, squares), and a pair of neighboring cells is adjacent if the formation can transit between these cells while avoiding barriers with sufficient clearance. We induce a graph from these adjacencies, and determine the movement cost on each arc with a fine time-step simulation that finds local movement vectors to preserve relative formation position while avoiding approach too close to barriers or obstacles (this emulates solving differential equations with Euler's method). We then nominate an origin and a destination, select a shortest path, and repeat the time-step simulation over this path to determine the individual positions of each unit as the formation makes its transit. Game designers and robot controllers have published schemes to guide formation movement, but their movements can penetrate barriers, and myopically get caught in cul-de-sacs. By contrast, we guarantee that if a path exists that avoids these pitfalls, we will find it.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA435595

Entities

People

  • Fatih Cesur

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Armored Personnel Carriers
  • Autonomous Navigation
  • California
  • Clearances
  • Combat Simulations
  • Computational Complexity
  • Computer Science
  • Computers
  • Guidance
  • Military Formations
  • Military Operations
  • Motion Planning
  • Reconnaissance
  • Robot Navigation
  • Robots
  • Simulations
  • Two Dimensional

Readers

  • Educational Psychology
  • Mathematical Modeling and Probability Theory.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control