Dataset of a collection of motion profiles of an unmanned underwater vehicle moving in an underwater environment.

doi: 10.4121/012fc1f6-4363-4521-8fc1-81e24f39b821.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/012fc1f6-4363-4521-8fc1-81e24f39b821
Datacite citation style:
Technische Universität München (TUM) (2023): Dataset of a collection of motion profiles of an unmanned underwater vehicle moving in an underwater environment. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/012fc1f6-4363-4521-8fc1-81e24f39b821.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The dataset includes a collection of motion profiles of an Unmanned Underwater vehicle moving in

an underwater environment.

We operate an underwater robot that responds to diverse inputs in various degrees of freedom (roll, yaw, z-axis), and its actions are captured through video recordings. The movement of our underwater robot forms a dynamic system, and by defining appropriate inputs and outputs, we can conduct System Identification to construct a mathematical model. The robot exhibits coupled motion, necessitating the analysis of the MIMO (multiple input multiple output) version of our system in certain scenarios.

While IMU sensors record output data, we address inaccuracies by utilizing external tools to obtain more precise output information and couple that with the control comments on terms of forces and torques.

history
  • 2023-12-26 first online, published, posted
publisher
4TU.ResearchData
format
.xslx
funding
  • SEarch, identificAtion and Collection of marine Litter with Autonomous Robots (SeaClear) (grant code 871295) [more info...] European Union’s Horizon 2020 Research and Innovation Programme
organizations
Technische Universität München (TUM)

DATA

files (2)