A Concurrent Design Strategy for Wet-Gap Crossing of Semi-Autonomous Vehicular Agents

Abstract

One of the most pervasive challenges in combat warfare is the facilitation of supplies, resources, manpower and equipment across terrain obstacles. These obstacles can be both wet and dry. Wet crossings tend to pose a special challenge as already limited resources can be constrained to accommodate such different terrain characteristics. Additionally, wet gap crossing requires collaborative efforts and situational understanding across many units in order to bridge and maneuver across the spaces. In Gap-Crossing fundamentals are essential for any strategic operation. These fundamentals include: Surprise, Extensive Preparation, Flexible Planning, Traffic Control, Organization and Speed. Additionally, navigating wet-gaps can be done sequentially or concurrently. Networked logistics and mapping can greatly aid groups in quick identification and operations across these gaps through engaging resources in concurrent processes. The Spelman College CCDC HBCU/MSI Undergraduate Student Design Competition team proposes a multi-pronged strategy for solving the Armyƕs Wet-Gap Crossing challenging problems addressing the following fundamental areas of Gap-crossing that implements autonomy, image detection and avoidance, vehicular customizations to accommodate the loading and triggering of a nerf weapon, and novel magnetic based bridge assembly methods in order to eradicate threats, build and deploy bridge wet-crossing by three Nvidia kaya robots in 5 minutes. The multidisciplinary Spelman team will be composed of 6 students from the Biological Sciences, Computer Science, Dual Degree Engineering and Art departments of Spelman College and one Mechanical Engineering and Dual Degree Computer Science student from Clark Atlanta University.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 24, 2020
Source ID
W911NF2010043

Entities

People

  • Jaye Nias

Organizations

  • Army Contracting Command
  • Office of the Secretary of Defense
  • Spelman College

Tags

Readers

  • Facility/Structural Engineering.
  • Research Science/Academic Research
  • Systems Analysis and Design

Technology Areas

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