Any‐Angle Path Planning

Abstract

In robotics and video games, one often discretizes continuous terrain into a grid with blocked and unblocked grid cells and then uses a path‐planning algorithms to find a shortest path on the resulting grid graph. This path, however, is typically not a shortest path in the continuous terrain. In this overview article, we discuss a path‐planning methodology for quickly finding paths in continuous terrain that are typically shorter than shortest grid paths. Any‐angle path‐planning algorithms are variants of the heuristic path‐planning algorithm A* that find short paths by propagating information along grid edges (like A*, to be fast) without constraining the resulting paths to grid edges (unlike A*, to find short paths).

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 01, 2013
Source ID
10.1609/aimag.v34i4.2512

Entities

People

  • Alex Nash
  • Sven Koenig

Organizations

  • Army Research Office
  • National Science Foundation
  • Office of Naval Research

Tags

Readers

  • Aviation Safety Risk Assessment.
  • Computational Fluid Dynamics (CFD)
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy