Soft Pneumatic Robotic Device Data for Preterm Infant Tactile Therapy

Experimental data from a soft pneumatic robotic system designed to replicate clinically inspired tactile stimulation for neonatal therapy. The dataset includes force measurements from a neonatology specialist, actuator pressure relationships, and performance results for two control strategies. It was authored by Yarilenka Benites-Mozo and last updated on 2026-05-28.

Use Cases

• Training models to map clinical tactile force levels to actuator pressure based on the described linear relationships.
• Benchmarking closed-loop control strategies for soft robotic systems based on pressure and current monitoring data.
• Analyzing the robustness of pneumatic actuation under varying mechanical interface conditions as described in the robustness tests.

Strengths

• Includes specific clinical force measurements: 0.594 N for light stimulation and 1.267 N for moderate stimulation.
• Documents clear performance improvements: a refined controller increased time within the therapeutic pressure band from 30.8% to 76.1%.
• Reduced mean pressure error from 0.68 kPa to 0.15 kPa and RMS error from 0.92 kPa to 0.38 kPa with the refined controller.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data scale is small at 1.7 MB, potentially limiting the scope of analysis.

Provenance

Source

figshare

Collection Method

Experimental characterization of manual tactile interactions, pneumatic system modeling, and closed-loop control.

Freshness

Last updated 2026-05-28 04:53:03; freshness should be verified.