RoboBoat: Evolving the International Autonomous Surface Vehicle Competition

Abstract

The RoboBoat program aims to provide an educational pathway for students that increases knowledge of systems engineering principles,and introduces students to real-world missions using autonomous vehicles. Participating students are immersed in a collaborative com,munity of students, academic, government, and industry practitioners in order to increase their awareness of and access to opportuni,ties in the field of maritime autonomy. Through participation in the RoboBoat competition and engagement with the RoboBoat community,, participants increase technical proficiency, establish valuable professional connections, and enjoy the satisfaction of learning a,nd collaborating while advancing autonomous surface vehicle (ASV) system technologies. RoboBoat is an international student competit,ion was established to generate, cultivate, and enhance a community of innovators capable of making substantive contributions to the, ASV domain. This vision is achieved by providing a venue and mechanism, whereby practitioners of robotics and maritime autonomy com,e together to share knowledge, innovate, and collaborate to advance the technology of ASV systems. Competition teams consist of part,icipants ranging from high school students to post-secondary students who design, build, and demonstrate how their ASV performs in a, maritime environment including a series of advanced, water-based challenges.This program aims to expand the community of researcher,s and innovators capable of substantive contributions to the emerging field of autonomous and unmanned ASVs. To this goal, the progr,am includes three related tasks: the RoboBoat competition; educational resource development; and community engagement and data shari,ng initiatives. Through these activities, RoboBoat will provide a sustained community of autonomous systems professionals with the k,nowledge and experience to influence future innovations in the field of maritime autonomy.

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 06, 2022
Source ID
N000142212635

Entities

People

  • Lindsey Groark

Organizations

  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Defense Technology Research and Development.
  • STEM Education
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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