SoftArmControl is a collection of CSV files containing experimental data for a soft robotic arm. The data includes pose information (yaw and pitch angles) while varying motor positions, and is organized into three datasets for model identification, pose-reaching control, and trajectory-following control. The dataset was created by Carlos Relaño and includes associated Matlab and C++ code for reproducing results from a related paper.
Use Cases
- System identification of a soft robotic arm model based on experimental motor and pose data.
- Benchmarking PI controller performance for robotic arm pose-reaching tasks.
- Benchmarking fractional-order controller performance for robotic arm trajectory-following tasks.
- Comparing control strategies for soft robotics based on the provided experimental results.
Strengths
- Includes three distinct experimental datasets for identification and control tasks.
- Provides associated code in Matlab and C++ for managing data and reproducing published results.
- Data includes specific pose measurements (yaw and pitch angles) and motor position variations.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file sizes are unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Carlos Relaño via e-cienciaDatos Harvested Dataverse.
- Collection Method
- Experimental data collected from a soft robotic arm.
- Time Range
- null
- Freshness
- Last updated 2026-04-21 17:43:28; freshness should be verified.
- Geography
- null