Polar T.R.A.C.E.R. (Traversing Robotics for Autonomous Collaborative and Efficient Reconnaissance) - Phase 1

Abstract

The aim is setting a new milestone in polar logistics and safety. To do so, an innovative approach is considered based on existing research in polar robotics to advance towards a comprehensive data recollection and processing system to provide terrain awareness. This will start with the designing of new rovers capable of sensing and modeling terrain conditions through proprioception, taking into account vibrations, wheel sinkage and slip, structural deformation, tilt, applied torque among other captured information. Exteroceptive sensors will also be considered for medium range look-ahead and obstacle avoidance. Collaborative heterogenous units (such as UAVs) will further increase look-ahead capabilities to assist on navigation tasks. Collected information will primarily be used for quick assessments on immobilization or traversability threats and tactical planning of alternative routes to extend to crevasse detection and logistics. In order to create a scalable system, an information exchange method for heterogenous polar units and sensors will be developed by creating a hardware abstraction layer through ROS (Robot Operating System) and common messaging protocols. An initial proof of concept will consist of specifically designed rovers for polar environment scaling up to a more broad variety of autonomous systems, such a long range look-ahead UAVs. A comprehensive situational awareness for terrain and environmental conditions would be obtain by the use of Multi-Agent System (MAS) methodologies to share the collected information providing each unit with global terrain and situational awareness. This will allow efficient reconnaissance and routing through terrain collaboratively sensed by all units.

Document Details

Document Type
DoD Grant Award
Publication Date
Dec 04, 2019
Source ID
W911NF1510309

Entities

People

  • Ian Hughes

Organizations

  • Army Contracting Command
  • United States Army

Tags

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs