| | --- |
| | license: mit |
| | task_categories: |
| | - robotics |
| | - reinforcement-learning |
| | - tabular-regression |
| | tags: |
| | - drone |
| | - slam |
| | - physics |
| | - art |
| | - telemetry |
| | - obstacle-avoidance |
| | - synthetic |
| | - robotics |
| | --- |
| | |
| | <div style=" |
| | background: #00FF00; |
| | border-left: 4px solid #00FF00; |
| | padding: 1.5rem; |
| | margin: 2rem 0; |
| | font-family: 'Fira Code', 'Courier New', monospace; |
| | color: #00FF00; |
| | border-radius: 0 8px 8px 0; |
| | "> |
| | <pre style=" |
| | font-size: 8px; |
| | line-height: 1.2; |
| | margin: 0; |
| | overflow-x: auto; |
| | color: #00FF00; |
| | "> |
| | _ _ __ _ _ ____ ____ ____ _ _ ____ ____ ____ |
| | ( \/\/ ) /__\( \/ )( ___)( _ \( ___)( \( )( _ \( ___)( _ \ |
| | ) ( /(__)\\ / )__) ) _ < )__) ) ( )(_) ))__) ) / |
| | (__/\__)(__)(__)\/ (____)(____/(____)(_)\_)(____/(____)(_)\_) |
| | |
| | </div> |
| | |
| | # OVERVIEW |
| |
|
| | Generated synthetic dataset for drone autonomy ML training, including telemetry signals |
| | (acceleration, gyro, altitude, velocity, battery, GPS), SLAM (obstacle detection/mapping), |
| | and avoidance maneuvers in simulated 3D environments with configurable parameters (complexity, |
| | noise, frequency, dynamic obstacles). |
| |
|
| | # DETAILS |
| |
|
| | Structure & Content: Tiny tabular/text dataset (219 Bytes downloaded, ~4 KB in Parquet format) with 1 row and 8 columns: |
| |
|
| | complexity: int64 (value: 7) |
| |
|
| | noise: float64 (value: 2.5) |
| |
|
| | frequency: float64 (value: 1.8) |
| |
|
| | sample_rate: int64 (value: 100) |
| | |
| | center_region_training: bool (value: true) |
| | |
| | dynamic_obstacles: bool (value: true) |
| |
|
| | avoidance_training: bool (value: true) |
| | |
| | dataset_id: string (value: "wave_bender_training_params") |
| | |
| | # USAGE |
| | |
| | Load via Python libraries (e.g., from datasets import load_dataset; ds = load_dataset("webxos/wavebender_dataset") |
| | or pandas/parquet readers). Download the training app "WAVEBENDER" by webXOS in the /generator/ folder for configuring/training |
| | WaveBender— for a simulation involving waves, noise, frequency modulation, and obstacle avoidance (e.g., in physics, |
| | audio, or AI pathfinding). |
| |
|
| | # DEVELOPER |
| |
|
| | webXOS |
| |
|
| | webxos.netlify.app |
| |
|
| | huggingface.co/webxos |
| |
|
| | 2026 |
