Robodimm: A Physics-Grounded Framework for Automated Actuator Sizing in Scalable Modular Robots

Fuente: arXiv
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Hauptverfasser: Torres, J. L., Munoz, M., Alvarez, J. D., Blanco, J. L., Gimenez, A.
Format: Preprint
Veröffentlicht: 2026
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author Torres, J. L.
Munoz, M.
Alvarez, J. D.
Blanco, J. L.
Gimenez, A.
author_facet Torres, J. L.
Munoz, M.
Alvarez, J. D.
Blanco, J. L.
Gimenez, A.
contents Selecting an appropriate motor-gearbox combination is a critical design task in robotics because it directly affects cost, mass, and dynamic performance. This process is especially challenging in modular robots with closed kinematic chains, where joint torques are coupled and actuator inertia propagates through the mechanism. We present Robodimm, a software framework for automated actuator sizing in scalable robot architectures. By leveraging Pinocchio for dynamics and Pink for inverse kinematics, Robodimm uses a Karush-Kuhn-Tucker (KKT) formulation for constrained inverse dynamics. The platform supports parametric scaling, interactive trajectory programming through jog modes, and a two-round validation workflow that addresses actuator self-weight effects.
format Preprint
id arxiv_https___arxiv_org_abs_2603_06864
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Robodimm: A Physics-Grounded Framework for Automated Actuator Sizing in Scalable Modular Robots
Torres, J. L.
Munoz, M.
Alvarez, J. D.
Blanco, J. L.
Gimenez, A.
Robotics
Selecting an appropriate motor-gearbox combination is a critical design task in robotics because it directly affects cost, mass, and dynamic performance. This process is especially challenging in modular robots with closed kinematic chains, where joint torques are coupled and actuator inertia propagates through the mechanism. We present Robodimm, a software framework for automated actuator sizing in scalable robot architectures. By leveraging Pinocchio for dynamics and Pink for inverse kinematics, Robodimm uses a Karush-Kuhn-Tucker (KKT) formulation for constrained inverse dynamics. The platform supports parametric scaling, interactive trajectory programming through jog modes, and a two-round validation workflow that addresses actuator self-weight effects.
title Robodimm: A Physics-Grounded Framework for Automated Actuator Sizing in Scalable Modular Robots
topic Robotics
url https://arxiv.org/abs/2603.06864