Multi Robot Path Planning for Budgeted Active Perception with Self-Organising Maps

Abstract

We propose a self-organising map (SOM) algorithm has a solution to a new multi-goal path planning problem for active perception and data collection tasks. We optimise paths for a multi-robot team that aims to maximally observe a set of nodes in the environment.

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Document Details

Document Type
Technical Report
Publication Date
Oct 04, 2016
Accession Number
AD1043906

Entities

People

  • Graeme Best
  • Jan Faigl
  • Robert Fitch

Organizations

  • University of Sydney

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Automata Theory
  • Computations
  • Computer Science
  • Computer Vision
  • Environment
  • Information Systems
  • Motion Planning
  • Object Recognition
  • Perception
  • Point Clouds
  • Recognition
  • Robots
  • Self Organizing Systems
  • Simulations
  • Standards
  • Travel Time

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Networking
  • Critical Infrastructure Protection in CBRN and WMD Threats.

Technology Areas

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