Aug 14, 2024 · It often requires direct numerical simulation of partial differential equations to simulate soft robots. This not only requires an accurate ...

We introduce a novel hybrid modeling framework for soft robotics that integrates the reliability of physics-based models with the adaptability of neural ...

Aug 18, 2024 · It often requires direct numerical simulation of partial differential equations to simulate soft robots. This not only requires an accurate ...

Soft robots have many advantages over rigid robots thanks to their compliant and passive nature. However, it is generally challenging to model the dynamics ...

Sep 25, 2024 · This paper presents a novel approach to modeling soft robots using knowledge-based neural ordinary differential equations (KBNODEs).

Aug 12, 2024 · KNODE-Cosserat. This repository contains the hardware and code information used for the work Knowledge-based Neural Ordinary Differential ...

The paper introduces KNODE-Cosserat, a novel hybrid modeling approach that integrates knowledge-based physics models and neural ordinary differential ...

Soft robots have many advantages over rigid robots thanks to their compliant and passive nature. However, it is generally challenging to model the dynamics ...

Sep 29, 2024 · Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots. CoRR abs/2408.07776 (2024). [+][–]. Coauthor ...

Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots · 2 code implementations • 14 Aug 2024 • Tom Z. Jiahao, Ryan Adolf ...