Discrete Cosserat Approach for Multi-Section Soft Robots Dynamics
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Abstract (arXiv)
In spite of recent progress, soft robotics still suffers from a lack of unified modeling framework. Nowadays, the most adopted model for the design and control of soft robots is the piece-wise constant curvature model, with its consolidated benefits and drawbacks. In this work, an alternative model for multisection soft robots dynamics is presented based on a discrete Cosserat approach, which, not only takes into account shear and torsional deformations, essentials to cope with out-of-plane external loads, but also inherits the geometrical and mechanical properties of the continuous Cosserat model, making it the natural soft robotics counterpart of the traditional rigid robotics dynamics model. The soundness of the model is demonstrated through extensive simulation and experimental results for both plane and out-of-plane motions.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Feb 2017.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 0; 2026: 4.
7 papers.
- 2024Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Controlcited by 3
- 2023Direct and inverse modeling of soft robots by learning a condensed FEM modelcited by 1
- 2024Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inferencecited by 1
- 2026AI-Enabled Image-Based Hybrid Vision/Force Control of Tendon-Driven Aerial Continuum Manipulatorscited by 0
- 2026From Digital to Physical Reservoir Computing: Co-Optimizing Soft Robotic Reservoirs via Dynamics Matchingcited by 0
- 2026SoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Modelscited by 0
- 2026Constraint-Aware Physics-Informed Neural Networks for Static Shape Estimation of Co-Manipulative Continuum Robotscited by 0
- 2026Constraint-Aware Physics-Informed Neural Networks for Static Shape Estimation of Co-Manipulative Continuum Robots26 Aug 2026
- 2026SoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Models6 Aug 2026
- 2026From Digital to Physical Reservoir Computing: Co-Optimizing Soft Robotic Reservoirs via Dynamics Matching1 Aug 2026
- 2026AI-Enabled Image-Based Hybrid Vision/Force Control of Tendon-Driven Aerial Continuum Manipulators21 Apr 2026
- 2024Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control31 Oct 2024
- 2024Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference11 Jul 2024
- 2023Direct and inverse modeling of soft robots by learning a condensed FEM model21 Jul 2023