5 citations · 10 across the 15 of their papers we have counts for
5 papers · 1 filter
AG-CVG: Coverage Planning with a Mobile Recharging UGV and an Energy-Constrained UAV
Nare Karapetyan, Ahmad Bilal Asghar, Amisha Bhaskar +3
In this paper, we present an approach for coverage path planning for a team of an energy-constrained Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV). Both the UA…
Decision-Oriented Learning Using Differentiable Submodular Maximization for Multi-Robot Coordination
Guangyao Shi, Chak Lam Shek, Nare Karapetyan +1
We present a differentiable, decision-oriented learning framework for cost prediction in a class of multi-robot decision-making problems, in which the robots need to trade off the…
Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon?
Chak Lam Shek, Guangyao Shi, Ahmad Bilal Asghar +1
We consider the problem of routing a team of energy-constrained Unmanned Aerial Vehicles (UAVs) to drop unmovable sensors for monitoring a task area in the presence of stochastic w…
Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise
Rui Liu, Guangyao Shi, Pratap Tokekar
Distributionally Robust Optimal Control (DROC) is a framework that enables robust control in a stochastic setting where the true disturbance distribution is unknown. Traditional DR…
Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem
Guangyao Shi, Pratap Tokekar
We study the problem of learning a function that maps context observations (input) to parameters of a submodular function (output). Our motivating case study is a specific type of…