5 papers · 1 filter
Trajectory Optimization for Minimum Threat Exposure using Physics-Informed Neural Networks
Alexandra E. Ballentine, Raghvendra V. Cowlagi
We apply a physics-informed neural network (PINN) to solve the two-point boundary value problem (BVP) arising from the necessary conditions postulated by Pontryagin's Minimum Princ…
Case Studies of Generative Machine Learning Models for Dynamical Systems
Nachiket U. Bapat, Randy C. Paffenroth, Raghvendra V. Cowlagi
Systems like aircraft and spacecraft are expensive to operate in the real world. The design, validation, and testing for such systems therefore relies on a combination of mathemati…
Optimal Coupled Sensor Placement and Path-Planning in Unknown Time-Varying Environments
Prakash Poudel, Raghvendra V. Cowlagi
We address path-planning for a mobile agent to navigate in an unknown environment with minimum exposure to a spatially and temporally varying threat field. The threat field is esti…
Actively Coupled Sensor Configuration and Planning in Unknown Dynamic Environments
Prakash Poudel, Jeffrey DesRoches, Raghvendra V. Cowlagi
We address the problem of path-planning for an autonomous mobile vehicle, called the ego vehicle, in an unknown andtime-varying environment. The objective is for the ego vehicle to…
Minimum-Time Sequential Traversal by a Team of Small Unmanned Aerial Vehicles in an Unknown Environment with Winds
Jeffrey A. DesRoches, Raghvendra V. Cowlagi
We consider the problem of transporting multiple packages from an initial location to a destination location in a windy urban environment using a team of SUAVs. Each SUAV carries o…