Gear-Ratio Spectrum for Robotic Joint Motor Drive Systems: Multiphysics Coupling and Design Trade-Offs

Robotic joint motor drive systems must combine torque density and dynamic response with low mechanical impedance, safe interaction, and thermal robustness. This review treats gear ratio as a system-level design coordinate realized jointly by the motor, transmission, thermal path, sensing, and control. It synthesizes how ratio selection changes torque–speed capability, reflected inertia, losses, thermal duty, reducer nonidealities, backdrivability, and control bandwidth. The proposed spectrum uses nominal ratio as its primary coordinate while treating reducer topology, application domain, integration level, and compliance as distinct, overlapping descriptors. Mechanism-level conclusions are based on peer-reviewed studies; manufacturer specifications, open-source structures, and model-based engineering examples are identified and interpreted within narrower evidence boundaries. Representative robotic-joint cases connect these mechanisms to application demands, and an iterative framework translates the synthesis into checks on the task envelope, motor–reducer matching, thermal feasibility, transmission nonlinearity, sensing, and control. Relative to gearbox-centered reviews and task-specific motor–transmission optimization studies, this review provides a cross-domain decision map rather than a product ranking or universal predictive model.

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Publication Details

Journal
Electronics
Published
2026-08-26
DOI
https://doi.org/10.3390/electronics15173834
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Gear-Ratio Spectrum for Robotic Joint Motor Drive Systems: Multiphysics Coupling and Design Trade-Offs

Zaixin Song, Jincheng Yu, Yiheng Chen
Electronics
Gear and Bearing Dynamics Analysis
article

Gear-Ratio Spectrum for Robotic Joint Motor Drive Systems: Multiphysics Coupling and Design Trade-Offs

Zaixin Song, Jincheng Yu, Yiheng Chen
article en

Abstract

Robotic joint motor drive systems must combine torque density and dynamic response with low mechanical impedance, safe interaction, and thermal robustness. This review treats gear ratio as a system-level design coordinate realized jointly by the motor, transmission, thermal path, sensing, and control. It synthesizes how ratio selection changes torque–speed capability, reflected inertia, losses, thermal duty, reducer nonidealities, backdrivability, and control bandwidth. The proposed spectrum uses nominal ratio as its primary coordinate while treating reducer topology, application domain, integration level, and compliance as distinct, overlapping descriptors. Mechanism-level conclusions are based on peer-reviewed studies; manufacturer specifications, open-source structures, and model-based engineering examples are identified and interpreted within narrower evidence boundaries. Representative robotic-joint cases connect these mechanisms to application demands, and an iterative framework translates the synthesis into checks on the task envelope, motor–reducer matching, thermal feasibility, transmission nonlinearity, sensing, and control. Relative to gearbox-centered reviews and task-specific motor–transmission optimization studies, this review provides a cross-domain decision map rather than a product ranking or universal predictive model.

ElectronicsVol. 15(17)
Hong Kong Polytechnic University (HK), Harbin Institute of Technology (CN)
Innovation and Technology Commission, Science and Technology Planning Project of Guangdong Province
Openalex Percentile: Top 19%
Gear and Bearing Dynamics Analysis
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Gear-Ratio Spectrum for Robotic Joint Motor Drive Systems: Multiphysics Coupling and Design Trade-Offs — Zaixin Song, Jincheng Yu, et al. · Electronics (2026) | TGRS Research Map | TGRS