USV Platforms for Multi-UXV operations in Support of Surface Autonomy

Abstract

USV Platforms for Multi-UXV operations in Support of Surface Autonomy Summary It is proposed to build on existing efforts and to assess and improve performance of unmanned surface vehicle platforms in support of surface autonomy involving multiple heterogeneous unmanned vehicles. The goal, consistent with the Naval S&T Strategic plan, is development of USVs that are agile, fuel efficient and modular, and that are capable of operating autonomously and robustly in various sea states in cooperation with other autonomous UXVs. The aim is to study and improve performance and control of USVs and component technologies to meet these requirements. The specific objectives are: 1) to assess and improve situational awareness capabilities of USVs to enable obstacle avoidance, navigation and vehicle tracking; 2) to develop concepts for autonomous launch and recovery of AUVs from USVs, and AUV-USV docking for power and data transfer; 3) to assess and improve low-level USV control in various environmental conditions; 4) to explore launch and recovery of small autonomous unmanned hexa-copter aerial vehicles for multi-UXV operations; and 5) to explore concepts for energy–harvesting mechanisms and improved vehicle performance in support of fuel efficiency and increased range and endurance. The proposed effort will involve computational and experimental studies in hydromechanics, aerodynamics, and intelligent control, in support of improving the design of advanced high-performance USVs and component technologies. WAM-V USV platforms developed under previous effort as well as one being assembled using COTS components acquired under a DURIP award will be utilized in this effort. The aim is to foster open architecture and modularity in the approach to provide flexibility in the utility of a USV. The effort will involve training of graduate students and support NNRNE goals through participation in the ACCeSS consortium.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N000141512724

Entities

People

  • Manhar Dhanak

Organizations

  • Florida Atlantic University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy