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Texas A&M University
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Achieving fleet-wide localization accuracy without sharing sensitive position data could redefine privacy standards in multi-robot systems.
Achieving high-quality solutions for the MT-TSP-MO, our methods outperform traditional algorithms, even in challenging scenarios with numerous moving obstacles.
Achieve real-time, COLREGs-compliant autonomous marine navigation by formulating collision avoidance and grounding prevention as a single convex optimization problem.
Simulate-to-real gaps in maritime autonomy shrink with a new framework that realistically models how adverse weather and bathymetry degrade sensor performance.