Six-Degree-of-Freedom Dynamics State Transition Dataset for Underwater Gliders
#State prediction #Dynamics modeling #System identification #Control simulation #Underwater robot simulation #Glider motion modeling #Underwater vehicle control
- 6410
- 0.4GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-11-03
AI Analysis & Value Prop
This dataset records continuous states, buoyancy and attitude control inputs, environmental parameters, and next-step states from six-degree-of-freedom dynamics simulations of underwater gliders. It covers motion such as ascending, descending, and turning, with each transition accompanied by a state delta, motion phase, and validity indicator. It supports state prediction, dynamics modeling, and model validation during simulation learning.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| time_step | number | Simulation interval in seconds between the current state and the next state. |
| next_state | object | The next six-degree-of-freedom state produced by the dynamics simulation from the current state, control inputs, and environmental parameters. |
| state_delta | object | The change from the current state to the next state, provided for supervised training of dynamics state-transition models. |
| motion_phase | string | The glider's motion phase identified from state changes and direction of movement. |
| control_input | object | Buoyancy adjustment and attitude control inputs applied to the underwater glider. |
| current_state | object | The glider's current six-degree-of-freedom position, velocity, attitude, and angular velocity. |
| transition_valid | boolean | Indicates whether the current state, control inputs, and next state pass simulation data consistency checks. |
| environment_parameters | object | Water environment and gravity parameters used in the six-degree-of-freedom dynamics simulation. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What does the dataset contain?
- It includes the glider's current six-degree-of-freedom state, buoyancy and attitude control inputs, water and gravity parameters, simulation time step, and next state. State deltas, motion phases, and transition validity indicators are also provided.
- Which motion phases are covered?
- The simulations cover typical motions such as ascent, descent, and turning. They can be used to study state changes under different control inputs and environmental conditions.
- Which modeling tasks does it support?
- The data supports state prediction, dynamics state-transition modeling, system identification, and control simulation during simulation learning. It can also be used to evaluate predictions of next states and state deltas.
- How can the data be obtained, and what are the licensing terms?
- Refer to the dataset product page or the platform's delivery channel for availability and file details. No license scope or redistribution terms are specified here, so review the product terms or contact the provider before use.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Six-Degree-of-Freedom Dynamics State Transition Dataset for Underwater Gliders},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/31f48e9dedbb8d5c2110e13f93a1a38a},
urldate={2026-10-28},
keywords={underwater glider dataset, six degree of freedom dynamics simulation, state transition data, robot state prediction, underwater robot dynamics, buoyancy control simulation, attitude control data, system identification data},
version={1.0}
}Using this in research? Please cite us.
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