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Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning
This paper provides a novel approach to this problem of Urban Air Mobility - Vertiport Schedule Management (UAM-VSM), which leverages graph reinforcement learning to generate decision-support policies.
Learning Constrained Corner Node Trajectories of a Tether Net System for Space Debris Capture
The earth's orbit is becoming increasingly crowded with debris that poses significant safety risks to the operation of existing and new spacecraft and satellites.
Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System
This tether-net system is subject to several sources of uncertainty in sensing and actuation that affect the performance of its net launch and closing control.
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