Collaborative Adaptive Sampling and Mapping
Abstract
The major goal of this project was to allow multiple uncrewed underwater agents to perform collaborative and adaptive sampling and mapping in real-time in a scalable framework. By collaborative, we mean that data collected by one agent ultimately informs the behavior of other agents. By adaptive, we mean that the mission profile changes as a result of the data being collected. By real-time, we mean that this collaboration and adaptation occur within a single deployment as opposed to occurring in post-processing. By scalable, we intend that this framework extends beyond a pair to perhaps tens of uncrewed agents. Another major goal of this project was to demonstrate the viability of this framework through in-water experiments.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 30, 2023
- Accession Number
- AD1209612
Entities
People
- Jeffrey W. Kaeli
Organizations
- Woods Hole Oceanographic Institution