Development and Demonstration of Autonomous Behaviors for Urban Environment Exploration

Abstract

Under the Urban Environment Exploration project, the Space and Naval Warfare Systems Center Pacific (SSC-PAC) is maturing technologies and sensor payloads that enable man-portable robots to operate autonomously within the challenging conditions of urban environments. Previously, SSC-PAC has demonstrated robotic capabilities to navigate and localize without GPS and map the ground floors of various building sizes. SSC-PAC has since extended those capabilities to localize and map multiple multi-story buildings within a specified area. To facilitate these capabilities, SSC-PAC developed technologies that enable the robot to detect stairs/stairwells, maintain localization across multiple environments (e.g. in a 3D world, on stairs, with/without GPS), visualize data in 3D, plan paths between any two points within the specified area, and avoid 3D obstacles. These technologies have been developed as independent behaviors under the Autonomous Capabilities Suite, a behavior architecture, and demonstrated at a MOUT site at Camp Pendleton. This paper describes the perceptions and behaviors used to produce these capabilities, as well as an example demonstration scenario.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2012
Accession Number
ADA563752

Entities

People

  • Alexander Xydes
  • Donald Fellars
  • Estrellina P. Rius
  • Gaurav Ahuja
  • Gregory Kogut
  • Misha Schoolov

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Cameras
  • Collision Avoidance
  • Inertial Measurement Units
  • Jet Propulsion
  • Kalman Filters
  • Military Operations
  • Motion Planning
  • Navigation
  • Simultaneous Localization And Mapping
  • Three Dimensional
  • Two Dimensional
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Urban Areas
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Robotics and Automation.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Space
  • Space - Spacecraft Maneuvers