Convolutional Long Short-Term Memory Predictor for Collaborative Remotely Operated Vehicle Trajectory Tracking in a Leader–Follower Formation Subject to Communication and Sensor Latency in the Presence of External Disturbances

Convolutional Long Short-Term Memory Predictor for Collaborative Remotely Operated Vehicle Trajectory Tracking in a Leader–Follower Formation Subject to Communication and Sensor Latency in the Presence of External Disturbances

Nowadays, collaborative operations between Remotely Operated Vehicles (ROVs) face considerable challenges, particularly in leader–follower schemes. The underwater environment imposes limitations on acoustic modems, leading to reduced transmission speeds and increased latency in ROV position and spee...

Full description

Bibliographic Details
Main Authors: Milton Eduardo Pérez-Alvarado, Alfonso Gómez-Espinosa, Josué González-García, Luis Govinda García-Valdovinos, Tomás Salgado-Jiménez
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Machines
Subjects:
collaborative ROVs
communication and sensor latency
LSTM
RNN
Online Access:https://www.mdpi.com/2075-1702/12/10/691

Internet

https://www.mdpi.com/2075-1702/12/10/691

Similar Items