Crab Like Legged Robot for Accessing and Classifying Munitions in Surf Zones

Abstract

Tasks in munitions response such as remote surveys, retrieval, and disabling of potentially hazardous unexploded ordnance require traversal of amphibious terrain. Surf zones, areas of the ocean with shallow water, are a particularly critical area. Accessing unexploded ordnance in these areas may be prioritized to prevent them from reaching land. Mobile robots have the potential to make these tasks safer and more efficient. The main objective of this project was to determine the degree to which crab-like legs increase the force required to dislodge the robot, effectively increasing weight. This required developing amphibious robot platforms with crab-like legs, and a lab wave tank test set-up. In addition to characterizing static gripping behavior, it was important to validate that the gripping legs could also locomote on natural terrain in both controlled lab substrates and in local beaches. We also show preliminary sensor integration. We can build on the leg designs in future work to determine the simplest effective legs and create a more developed platform to compare trafficability with wheeled robots in surf zone terrains.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 12, 2020
Accession Number
AD1173681

Entities

People

  • Alexander Behr
  • Kathryn A Daltorio
  • Nicole M Graf
  • Yifeng Gong

Organizations

  • Case Western Reserve University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Actuators
  • Artificial Intelligence
  • Automata Theory
  • Autonomous Systems
  • Computational Science
  • Control Systems
  • Detection
  • Electronics
  • Fabrication
  • Failure Mode And Effect Analysis
  • Fluid Mechanics
  • Machine Learning
  • Measurement
  • Mechanics
  • Munitions
  • Robotics
  • Robots
  • Seabed
  • Shallow Water
  • Standards
  • Supervised Machine Learning
  • Unexploded Ammunition
  • Unmanned Vehicles

Readers

  • Coastal Oceanography
  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks
  • Autonomy