Stochastic Modeling of Organism Movement in a Comoving Frame

This paper presents a novel approach to modeling organism movement by transforming stochastic Langevin dynamics from a fixed Cartesian frame to a comoving frame. This allows for a generalization of correlated random walk models, offering a new framework for understanding and simulating movement patterns. The work has implications for movement ecology, robotics, and drone design.

• •Introduces a new framework for modeling organism movement using a comoving frame.
• •Generalizes correlated random walk models.
• •Applies to movement ecology, robotics, and drone design.
• •Transforms Langevin dynamics from Cartesian to comoving frame.