A physics-informed neural network approach to augmented dynamics visual servoing of multirotors

A physics-informed neural network approach to augmented dynamics visual servoing of multirotors

This paper presents a visual servoing strategy that integrates the capabilities of a Physics-informed Neural Network (PINN) to estimate system uncertainties and inaccuracies with a dynamics-centered visual servoing technique for multi-rotors. The proposed method effectively combines these approaches...

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Bibliographic Details
Main Authors: Kamath, Archit Krishna, Anavatti, Sreenatha G., Feroskhan, Mir
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2025
Subjects:
Engineering
Visual servoing
Physics-informed neural network
Nonlinear model predictive control
Autonomous systems
Multirotor control
Online Access:https://hdl.handle.net/10356/182035

Internet

https://hdl.handle.net/10356/182035

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