Skip to content
Preprint

MuJoCable: Reduced-Order Surface-Routed Cable Transmission for Tendon-Driven Robots

Sep 2026 · 0 citations · 28 references
Computer Science

Abstract

Tendon transmissions reduce distal inertia and add compliance, yet routing, slack, and friction govern motion and force transfer. Mainstream rigid-body robotics simulators such as MuJoCo do not jointly resolve moving noncircular contact, unilateral tension, and segment friction. We present MuJoCable, which adds a reduced-order, configuration-dependent cable transmission to MuJoCo. Its routing algorithm jointly optimizes an ordered path across moving analytic and mesh surfaces. A unilateral axial law, directional Capstan propagation, and nodal virtual work map this path to segment tensions and body forces. The warm-started engine plugin applies these forces during simulation and exposes route and load states for design. Pulley benchmarks recover analytical transmission relations with a Capstan-ratio error below 0.5%. On the underactuated 18-joint SpiRobs, MuJoCable reveals friction-driven load growth and proximal redistribution of joint rotation that the native tendon does not represent. Hardware tests on SpiRobs and a tendon-route-coupled finger reproduce observed motion sequences. By making physical threading executable, MuJoCable brings transmission sources of the simulation-to-reality gap into route, cable, and actuator design before fabrication.

View source

Similar papers

Preprint Sep 2026

Reduced Cartesian Kinetostatics for Tendon-Driven Continuum Robots: Residual-Stabilized Full-Shape Propagation

Many planning and control tasks for tendon-driven continuum robots (TDCRs) require the complete Cartesian backbone geometry. We present a reduced Cartesian framework for planar, axially compressible TDCRs that propagates equilibrium configurations along prescribed tendon-force and tendon-displacement trajectories. The...

Ke Wu, Fang-Ju Yang, Xiao-Hui Zhang et al. · 0 citations
2026

Stiffness Control of Cable-Driven Continuum Robots Based on Null Space Tension Optimization

The inherent compliance of cable-driven continuum robots (CDCRs) enables safe interaction but often degrades manipulation accuracy and payload capacity. To address this trade-off, this article proposes a novel variable stiffness control (VSC) framework that exploits actuation redundancy for stiffness regulation. Unlike...

Tao-Wen Guo, Chen Zhao, Xin-Liang Li et al. · 0 citations
Preprint Aug 2026

H-PAC Hand: Control-Oriented Modeling and Tendon-Elasticity Compensation for an Underactuated Robotic Hand

Underactuated tendon-driven hands offer compact actuation and passive compliance, but tendon elongation under restoring-spring loading introduces configuration-dependent joint deviations. This paper presents H-PAC, a modular 6-actuator, 15-DoF robotic hand with a control-oriented modeling and implementation framework....

Teng-Fei Yan, Jiong-Xu Chen, Teng Wang et al. · 0 citations
Preprint Sep 2026

Closed-Form Cartesian Forward Kinetostatics for Spatial Multi-Segment Tendon-Driven Continuum Robots

Forward kinetostatics of spatial tendon-driven continuum robots typically requires a nonlinear equilibrium solve for each actuation input. This paper develops a force-to-Cartesian-configuration model with a closed-form solution in quadratures for spatial multi-segment robots under tendon actuation. The Cartesian backbo...

Ke Wu, Fang-Ju Yang, Xiao-Hui Zhang et al. · 0 citations
Preprint Aug 2026

Capstan-driven Continuum Surgical Robot: Design, Modeling, and Perception

Shape and force sensing have long been critical bottlenecks in the development of compact capstan-driven continuum surgical robots, primarily due to the difficulty of obtaining cable tension information within the confined capstan assembly. To overcome these challenges, this paper presents an integrated design-modeling...

Gang Zhang, Yufu Qiu, Junyan Yan et al. · 0 citations
Open access Aug 2026

Hierarchical Whole-Body Control for Tendon-Cable-Driven Humanoids via Reference-Residual Policy and Offline-Learned Tendon Mapping

A hierarchical whole-body tracking framework for the 28-DoF Droid X3 that separates high-level motion learning from transmission compensation is presented and the aggregate action-completion rate is increased across the complete physical trials, an increase of 11 percentage points.

Wen-Cong Gan, Jie-Hui Chen, Qing-Du Li et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.