From Digital to Physical Reservoir Computing: Co-Optimizing Soft Robotic Reservoirs via Dynamics Matching

arXiv:2608.00484 · cs.RO, cs.LG · Submitted 2026-08-01 · Read on arXiv

cs.RO, cs.LG

Submitted: 2026-08-01

Updated: 2026-09-02

Code: https://github.com/ax-ml/jax

Terminology

• Reservoir Computing — 26× in this paper
• Benchmark — 19× in this paper · explained in 2 episodes
• Physical Reservoir Computing — 16× in this paper
• Accuracy — 13× in this paper · explained in 1 episode
• Random Oscillators Network — 7× in this paper
• Mean Square Error — 6× in this paper
• Machine Learning — 5× in this paper
• Root Mean Square Error — 5× in this paper
• Normalized Root Mean Square Error — 4× in this paper
• Adam — 3× in this paper · explained in 2 episodes
• Archetype — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Piecewise Constant Strain — 3× in this paper
• Adaptation — 2× in this paper · explained in 1 episode
• Computational Tractability — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Automatic Diatom Identification And Classification — 1× in this paper
• Conference on Micro Electro Mechanical Systems — 1× in this paper
• Distillation — 1× in this paper · explained in 2 episodes
• Eleventh International Conference on Learning Representations — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Online Adaptation — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Singular Value Decomposition — 1× in this paper
• Singular Value Decomposition (SVD) — 1× in this paper · explained in 2 episodes

Sources

• A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
• Soft yet Effective Robots via Holistic Co-Design

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