Underwater Glider State Transition Dataset Under Ocean Current Conditions

#state prediction #state transition modeling #robot dynamics modeling #conditional state prediction #underwater robot simulation #ocean current modeling #glider trajectory analysis #control strategy evaluation
Records
6400
Size
0.3GB
Format
JSON
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-05
AI Analysis & Value Prop

Covers simulated trajectories, control inputs, and continuous state transitions of underwater gliders under varying three-dimensional ocean current velocities, directions, and local flow-field gradients. The records characterize how current conditions affect the evolution of the vehicle's position, attitude, and motion. They include current and next-step states, simulation time steps, transition deltas, and relative water velocity for conditional state prediction, transition modeling, and control strategy evaluation.

Overview

Dataset Insights

Preview

Sample Examples

sample.json
{}

Schema

Technical Specifications

file_namestringFile name
time_stepnumberThe simulation interval in seconds used to advance from the current state to the next state.
control_inputobjectRecords the control command applied to the underwater glider at the current simulation step.
next_robot_stateobjectThe robot state at the next simulation time, calculated from the current state, control input, and ocean current conditions.
initial_robot_stateobjectRecords the underwater glider's position, attitude, linear velocity, and angular velocity at the current simulation time.
state_transition_deltaobjectThe changes in position, attitude, and velocity calculated from the current and next-step states.
relative_water_velocityobjectThe robot's velocity relative to the water, calculated from its current linear velocity and the ocean current velocity.
ocean_current_conditionsobjectRecords the three-dimensional current velocity, flow direction, and local flow-field velocity gradient at the robot's position.

Trust

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

FAQ

Frequently Asked Questions

What does the data contain?
The data records robot states, control inputs, and continuous state transitions under varying three-dimensional current velocities, directions, and local flow-field gradients. It also includes simulation time steps, state changes, and relative water velocity.
Which tasks can the data support?
It can support conditional state prediction, state transition modeling, underwater robot dynamics modeling, and analysis or evaluation of control strategies across different current conditions.
Is this measured or simulated data?
These are simulated records intended for simulation learning. Interpret results in the context of the simulation environment, dynamics model, and parameter documentation, and validate them against real-world measurements before deployment.
How can I access the data, and what are the licensing terms?
Refer to the provider's download page, package documentation, and license agreement. File formats, access methods, and commercial-use restrictions may vary by release.

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Cite this Work

@dataset{Mobiusi2026,
  title={Underwater Glider State Transition Dataset Under Ocean Current Conditions},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/7689a70e5e37454f73e2f98b9b90c0fc?dataset_task_cate_id=11},
  urldate={2026-10-28},
  keywords={underwater glider,ocean current simulation data,robot state transitions,underwater robot state prediction,3D ocean current modeling,robot control inputs,simulation trajectory data,underwater dynamics modeling},
  version={1.0}
}

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