Configurations and Applications of Multi-Agent Hybrid Drone/Unmanned Ground Vehicle for Underground Environments: A Review

Details

• Personal Author:
  Androulakis V ; Dinelli C ; Dunaway C ; Escarcega M ; Gordon, Jane E. ; Hassanalian M ; Khaniani H ; Lotero S ; Montoya J ; Racette J ; Roghanchi P ; Shao S
• Description:
  Subterranean openings, including mines, present a unique and challenging environment for robots and autonomous exploration systems. Autonomous robots that are created today will be deployed in harsh and unexplored landscapes that humanity is increasingly encountering in its scientific and technological endeavors. Terrestrial and extraterrestrial environments pose significant challenges for both humans and robots: they are inhospitable and inaccessible to humans due to a lack of space or oxygen, poor or no illumination, unpredictable terrain, a GPS-denied environment, and a lack of satellite imagery or mapping information of any type. Underground mines provide a good physical simulation for these types of environments, and thus, can be useful for testing and developing highly sought-after autonomous navigation frameworks for autonomous agents. This review presents a collective study of robotic systems, both of individual and hybrid types, intended for deployment in such environments. The prevalent configurations, practices for their construction and the hardware equipment of existing multi-agent hybrid robotic systems will be discussed. It aims to provide a supplementary tool for defining the state of the art of coupled Unmanned Ground Vehicle (UGV)-Unmanned Aerial Vehicle (UAV) systems implemented for underground exploration and navigation purposes, as well as to provide some suggestions for multi-agent robotic system solutions, and ultimately, to support the development of a semi-autonomous hybrid UGV-UAV system to assist with mine emergency responses. [Description provided by NIOSH]
• Subjects:
  Automation Mining Occupational Health Safety
• Keywords:
  Author Keywords: Subterranean Autonomous Exploration Bio-inspired Robots Coupled UGV-UAV Systems Drones Emerging Technology Mining Industry Multi-agent Hybrid Robotic Systems Robotics Underground Mines
• ISSN:
  2504-446X
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  New Mexico ; OSHA Region 6
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  7
• Issue:
  2
• NIOSHTIC Number:
  nn:20067734
• Citation:
  Drones 2023 Feb; 7(2):136
• Contact Point Address:
  Mostafa Hassanalian, Department of Mechanical Engineering, New Mexico Tech, Socorro, NM 87801, USA
• Email:
  mostafa.hassanalian@nmt.edu
• Federal Fiscal Year:
  2023
• NORA Priority Area:
  Mining
• Performing Organization:
  New Mexico Institute of Mining & Technology
• Peer Reviewed:
  True
• Start Date:
  20210901
• Source Full Name:
  Drones
• End Date:
  20250831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:99ef939416018990a3fe626f2cc7fba8139c7f1e0505e1bd0ab34aa57ab4fc23933c588aab783f34fc72210bf272ebecf4d90fd5c11cb649217e1a3777857f24
• Download URL:
  https://stacks.cdc.gov/view/cdc/229996/cdc_229996_DS1.pdf
• File Type:
  [PDF - 32.91 MB ]