3D models and Data for: "Synaptic symphony: orchestration of an explicit monosynaptic reflex arc for autonomous movements in a biorobotic leg"

DOI

This repository includes the data and the 3D models of the paper: "Synaptic symphony: orchestration of an explicit monosynaptic reflex arc for autonomous movements in a biorobotic leg" by Tobias Nadler, Norman Stutzig, Daniel Haeufle and Syn Schmitt.

This dataset comprises experimental biomechanical, kinematic, and sensory data generated by triggering a patellar reflex with a pendulum, capturing responses from both human participants and a biorobotic leg. The data is provided as .csv files and organized into seven directories that map the entire reflex process, including the pendulum trajectory, EMG/sensor signals, knee angles, reflex timing, and moment arm (see the README in the Downloads section for full details). This structure enables the analysis of reflex arc transferability from humans to autonomous biorobots by evaluating metrics such as electromechanical delay, latency, and maximum deflection. Consequently, the dataset can be easily reused for comparative biomechanical studies, robotic model validation, or motor control meta-analyses.

Identifier
DOI https://doi.org/10.18419/DARUS-5919
Related Identifier IsSupplementTo https://doi.org/10.1038/s44182-026-00090-3
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-5919
Provenance
Creator Nadler, Tobias ORCID logo; Stutzig, Norman ORCID logo; Schmitt, Syn ORCID logo
Publisher DaRUS
Contributor Nadler, Tobias; Schmitt, Syn
Publication Year 2026
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Nadler, Tobias (University of Stuttgart); Schmitt, Syn (University of Stuttgart)
Representation
Resource Type Dataset
Format text/tab-separated-values; application/octet-stream; text/plain
Size 52759; 80626; 7696; 5937320; 12665384; 19507284; 419484; 2662284; 2480538; 191671; 5441884; 11728884; 1975; 270; 157250; 7307684; 2349084; 47226384; 111193; 10404; 3178; 3173; 1510; 75743; 7279
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences; Medicine; Natural Sciences; Physics