EvoGymCM: Harnessing Continuous Material Stiffness for Soft Robot Co-Design
Le Shen, Kangyao Huang, Wentao Zhao, Huaping Liu

TL;DR
This paper introduces EvoGymCM, a benchmark for soft robot co-design that incorporates continuous material stiffness as a key variable, enabling more realistic and high-performing robot designs.
Contribution
It establishes a new benchmark with continuous material stiffness, proposing co-design paradigms for both programmable and traditional materials, advancing soft robot design capabilities.
Findings
Continuous material optimization improves robot performance.
Synergy between morphology, material, and control enhances design outcomes.
The benchmark supports diverse tasks with high-dimensional coupling.
Abstract
In the automated co-design of soft robots, precisely adapting the material stiffness field to task environments is crucial for unlocking their full physical potential. However, mainstream platforms (e.g., EvoGym) strictly discretize the material dimension, artificially restricting the design space and performance of soft robots. To address this, we propose EvoGymCM (EvoGym with Continuous Materials), a benchmark suite formally establishing continuous material stiffness as a first-class design variable alongside morphology and control. Aligning with real-world material mechanisms, EvoGymCM introduces two settings: (i) EvoGymCM-R (Reactive), motivated by programmable materials with dynamically tunable stiffness; and (ii) EvoGymCM-I (Invariant), motivated by traditional materials with invariant stiffness fields. To tackle the resulting high-dimensional coupling, we formulate two…
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