4 papers
Bigraph Matching Weighted with Learnt Incentive Function for Multi-Robot Task Allocation
Steve Paul, Nathan Maurer, Souma Chowdhury
Most real-world Multi-Robot Task Allocation (MRTA) problems require fast and efficient decision-making, which is often achieved using heuristics-aided methods such as genetic algor…
Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties
Steve Paul, Jhoel Witter, Souma Chowdhury
This paper develops a graph reinforcement learning approach to online planning of the schedule and destinations of electric aircraft that comprise an urban air mobility (UAM) fleet…
Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning
Prajit KrisshnaKumar, Jhoel Witter, Steve Paul +3
Urban Air Mobility (UAM) promises a new dimension to decongested, safe, and fast travel in urban and suburban hubs. These UAM aircraft are conceived to operate from small airports…
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports
Prajit KrisshnaKumar, Jhoel Witter, Steve Paul +2
Majority of aircraft under the Urban Air Mobility (UAM) concept are expected to be of the electric vertical takeoff and landing (eVTOL) vehicle type, which will operate out of vert…