Environmentally Adaptive Autonomy for Under-Ice Acoustic Navigation and Communication
Abstract
This Proposal requests funding for a joint research effort by the MIT Laboratory for Autonomous Marine Sensing Systems (LAMSS) and" Gobysoft LLC aimed at developing and demonstrating a prototype for an AI based concept for environmentally adaptive acoustic sensing, communication and navigation by manned and unmanned underseas vehicles. The proposed research and development combines recent advances in environmentally adaptive autonomy for UUVs, developed by MIT LAMSS under earlier ONR and DARPA sponsored autonomous ASW projects ,with field proven undersea communication and navigation technology developed by WHOI and Gobysoft to provide the undersea assets with the capability of exploiting the oceanographic and acoustic environment for optimizing acoustic surveillance and communication performance. The invitation by UWDC to MIT and MIT-LL to participate in the ICEX2020 exercise for demonstrating under-ice autonomous communication, navigation and sensing provides a unique opportunity for demonstrating the environmentally adaptive autonomy operating in an integrated navigation and communication range used by the under-ice UUVs deployed by MIT. The research is carried out in close collaboration with the Woods Hole Oceanographic Institution which will submit a separate companion proposal for deploying a the under-ice modem network used for UUV navigation and communication. In addition, the autonomy concept will be demonstrated in co"llaboration MIT Lincoln Laboratory and UWDC who will use the MIT UUV for TAG exercises in ICEX20.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 26, 2019
- Source ID
- N000141912741
Entities
People
- Henrik Schmidt
Organizations
- Massachusetts Institute of Technology
- Office of Naval Research
- United States Navy