Towards end-to-end co-design for one-shot printable task-specific soft robots
Soft robot co-design methods can jointly optimise morphology and control, but the resulting designs are often difficult to manufacture, while manufacturable approaches typically restrict actuator placement or require manual assembly. We present a simulation-based co-design framework that jointly optimises material distribution, pneumatic actuator placement and orientation, and control, while producing designs that can be fabricated monolithically using fused deposition modelling. The framework uses a differentiable 2D plane-stress Material Point Method simulator, incorporating an experimentally validated material model and an empirically derived surrogate model of a 3D-printed inflatable actuator. We demonstrate gradient-based optimisation soft robotic arms for prescribed tip trajectories. Optimised designs are transferred directly from simulation to one-shot monolithic FDM fabrication, with integrated actuators and no post-assembly. Physical experiments demonstrate that the resulting arms reproduce the behaviour predicted in simulation. This framework provides a path from task-level objectives to physically realisable soft robots while retaining substantial freedom over both morphology and actuation.
Authors
- Krishna Manaswi Digumarti (ORCID: https://orcid.org/0000-0003-0521-3200)
- Joshua Pinskier (ORCID: https://orcid.org/0000-0002-8878-9012)
- Will Browne
- André Farinha
- James Wood (ORCID: https://orcid.org/0000-0003-4349-6002)
Publication Details
- Journal
- arXiv (Cornell University)
- Published
- 2026-11-02
- DOI
- https://doi.org/10.48550/arxiv.2611.03216
- Primary Topic
- Soft Robotics and Applications
- Type
- preprint