2 citations · 2 across the 6 of their papers we have counts for
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OptiRoute: A Heuristic-assisted Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning
Md Safwan Mondal, Subramanian Ramasamy, Pranav Bhounsule
Unmanned aerial vehicles (UAVs) are capable of surveying expansive areas, but their operational range is constrained by limited battery capacity. The deployment of mobile rechargin…
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…
Optimizing Sorting of Micro-Sized Bio-Cells in Symmetric Serpentine Microchannel using Machine Learning
Sayan Karmakar, Md Safwan Mondal, Anish Pal +1
Efficient sorting of target cells is crucial for advancing cellular research in biology and medical diagnostics. Inertial microfluidics, an emerging technology, offers a promising…
Solving Vehicle Routing Problem for unmanned heterogeneous vehicle systems using Asynchronous Multi-Agent Architecture (A-teams)
Subramanian Ramasamy, Md Safwan Mondal, Pranav A. Bhounsule
Fast moving but power hungry unmanned aerial vehicles (UAVs) can recharge on slow-moving unmanned ground vehicles (UGVs) to survey large areas in an effective and efficient manner.…
Optimizing Fuel-Constrained UAV-UGV Routes for Large Scale Coverage: Bilevel Planning in Heterogeneous Multi-Agent Systems
Md Safwan Mondal, Subramanian Ramasamy, Pranav Bhounsule
Fast moving unmanned aerial vehicles (UAVs) are well suited for aerial surveillance, but are limited by their battery capacity. To increase their endurance UAVs can be refueled on…