New SoRoMoX framework enables faster, differentiable soft robot modeling

Researchers have developed SoRoMoX, a new Python/JAX framework designed for soft robot modeling. This framework is notable for its differentiability and parallel processing capabilities, enabling faster and more efficient workflows for advanced applications. SoRoMoX supports various modeling approaches and provides essential components for control-oriented tasks, significantly outperforming existing alternatives in speed and throughput. AI

IMPACT Enables more advanced control and simulation for soft robots, potentially accelerating research and development in robotics.

RANK_REASON The cluster describes a new research paper detailing a novel framework for soft robot modeling. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

• central processing unit
• Cosserat-rod theory
• graphics processing unit
• Jax
• Maximilian Stölzle
• PyElastica
• Python
• SoRoMoX

• paper
• infra

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