activity
20222025
most citedRisk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2025

Iterative Motion Planning in Multi-agent Systems with Opportunistic Communication under Disturbance

Neelanga Thelasingha, Agung Julius, James Humann +1

In complex multi-agent systems involving heterogeneous teams, uncertainty arises from numerous sources like environmental disturbances, model inaccuracies, and changing tasks. This…

eess.SY2024★ 1 cited

Iterative Planning for Multi-agent Systems: An Application in Energy-Aware UAV-UGV Cooperative Task Site Assignments

Neelanga Thelasingha, Agung Julius, James Humann +3

This paper presents an iterative planning framework for multi-agent systems with hybrid state spaces. The framework uses transition systems to mathematically represent planning tas…

cs.RO2023★ 2 cited

Cooperative Multi-Agent Planning Framework for Fuel Constrained UAV-UGV Routing Problem

Md Safwan Mondal, Subramanian Ramasamy, James D. Humann +4

Unmanned Aerial Vehicles (UAVs), although adept at aerial surveillance, are often constrained by limited battery capacity. By refueling on slow-moving Unmanned Ground Vehicles (UGV…

cs.RO2022★ 4 cited

Risk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous

Ahmad Bilal Asghar, Guangyao Shi, Nare Karapetyan +4

We study a resource allocation problem for the cooperative aerial-ground vehicle routing application, in which multiple Unmanned Aerial Vehicles (UAVs) with limited battery capacit…

cs.RO2022

Risk-aware UAV-UGV Rendezvous with Chance-Constrained Markov Decision Process

Guangyao Shi, Nare Karapetyan, Ahmad Bilal Asghar +4

We study a chance-constrained variant of the cooperative aerial-ground vehicle routing problem, in which an Unmanned Aerial Vehicle (UAV) with limited battery capacity and an Unman…