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ML@GT Lab presents LAB LIGHTNING TALKS 2020
Eliminating Conditionally Independent Sets in Factor Graphs: A Unifying Perspective based on Smart Factors
Mission Specification and Control for Unmanned Aerial and Ground Vehicles for Indoor Target Discovery and Tracking
Lifelong Robot Learning in an Open World
Mining Structure Fragments for Smart Bundle Adjustment
Communication and alignment of grounded symbolic knowledge among heterogeneous robots
Deep Segments: Comparisons between Scenes and their Constituent Fragments using Deep Learning
A Design Process for Robot Capabilities and Missions Applied to Microautonomous Platforms