37 citations · 57 across the 27 of their papers we have counts for
9 papers · 1 filter
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…
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction
Steve Paul, Wenyuan Li, Brian Smyth +3
Efficient multi-robot task allocation (MRTA) is fundamental to various time-sensitive applications such as disaster response, warehouse operations, and construction. This paper tac…
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…
Learning Scalable Policies over Graphs for Multi-Robot Task Allocation using Capsule Attention Networks
Steve Paul, Payam Ghassemi, Souma Chowdhury
This paper presents a novel graph reinforcement learning (RL) architecture to solve multi-robot task allocation (MRTA) problems that involve tasks with deadlines and workload, and…
Learning Robot Swarm Tactics over Complex Adversarial Environments
Amir Behjat, Hemanth Manjunatha, Prajit KrisshnaKumar +8
To accomplish complex swarm robotic missions in the real world, one needs to plan and execute a combination of single robot behaviors, group primitives such as task allocation, pat…
Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search
Payam Ghassemi, Souma Chowdhury
Decentralized swarm robotic solutions to searching for targets that emit a spatially varying signal promise task parallelism, time efficiency, and fault tolerance. It is, however,…
Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response
Payam Ghassemi, David DePauw, Souma Chowdhury
Multiple robotic systems, working together, can provide important solutions to different real-world applications (e.g., disaster response), among which task allocation problems fea…
Decentralized Informative Path Planning with Exploration-Exploitation Balance for Swarm Robotic Search
Payam Ghassemi, Souma Chowdhury
Swarm robotic search is concerned with searching targets in unknown environments (e.g., for search and rescue or hazard localization), using a large number of collaborating simple…
Decentralized Task Allocation in Multi-Robot Systems via Bipartite Graph Matching Augmented with Fuzzy Clustering
Payam Ghassemi, Souma Chowdhury
Robotic systems, working together as a team, are becoming valuable players in different real-world applications, from disaster response to warehouse fulfillment services. Centraliz…