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P.F.J. Lermusiaux, A. Agarwal P.J. Haley, Jr., T. Sapsis, W.G. Leslie Massachusetts Institute of Technology
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Background information Ongoing MIT research Presentations Additional A-MISSION Links |
ESSE: (left) Central Forecast; (right) Predicted Optimal Track |
The thrust and scope of our effort is to develop new principled formalisms and methodologies for optimal marine sensing using collaborative swarms of autonomous platforms (AUVs, gliders, ships, moorings and remote sensing platforms) that are smart, i.e. knowledgeable about the predicted environment, acoustic performance and uncertainties, and about the predicted effects of their sensing. Our research focus areas are Autonomous perception and intelligent decision making and Scalable and robust distributed collaboration. Specifically, our work will include research components on: tasking the placement of sensory and computational resources; agile searching; adaptation of algorithms; multi-task learning across multiple sensor types; task allocation, planning and coordination for heterogeneous systems; and structuring autonomy to balance competing tasks. We will also involve the evaluation of uncertain a priori information for decision making; supervisory control of autonomous systems; and methods for acquiring and synthesizing information from multiple sources. Basic automated architectures will also be employed for efficient integration of sensing, planning, and control of autonomous systems.
Our research will be driven by the following five objectives:
Collected research papers are found here.
