Marine Robotics

Scope

Recently, Marine Robotics has grown from nascent navigation and control algorithms for underwater and surface vehicles, to powered autonomous underwater vehicles routinely able to dive beyond 6000 meters. We have seen underwater gliders cross the Atlantic Ocean and unmanned surface platforms (Wave Gliders) cross the Pacific.

The goal of this TC is to further promote greater interaction between the fields of machine learning and automation. This includes the application of machine learning methods for automation, but also further development of machine learning theories, methods, and algorithms tailored to meet additional demands in automation practice. This TC will provide a platform for researchers and practitioners to exchange ideas, share knowledge, and collaborate on new developments in the field of machine learning for automation. Through its focus on both the application and development of machine learning for automation, this TC will play a critical role in advancing the field and promoting the integration of machine learning into a wide range of automation applications. By bringing together experts from across the field, the TC will help to drive innovation, encourage collaboration, and support the continued growth and development of machine learning for automation.

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Priority research areas
  • Actuation and Sensing Systems
  • Communication
  • Manipulation
  • Interaction
  • Guidance, Navigation and Control
  • Mission Control Systems
  • Localization
  • Multi-Vehicle Coordination
  • Networked Vehicles
  • Outreach and Engagement
  • Grand Challenges
  • Planning
  • Persistent Monitoring

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