Modeling and simulation of dynamics in soft robotics: A review of numerical approaches
Purpose of review In this review, we briefly summarize the numerical methods commonly
used for the nonlinear dynamic analysis of soft robotic systems. The underlying mechanical …
used for the nonlinear dynamic analysis of soft robotic systems. The underlying mechanical …
Recent progress on underwater soft robots: Adhesion, grabbing, actuating, and sensing
Y Zhang, D Kong, Y Shi, M Cai, Q Yu, S Li… - … in Bioengineering and …, 2023 - frontiersin.org
The research on biomimetic robots, especially soft robots with flexible materials as the main
structure, is constantly being explored. It integrates multi-disciplinary content, such as …
structure, is constantly being explored. It integrates multi-disciplinary content, such as …
Segmenting mechanically heterogeneous domains via unsupervised learning
Q Nguyen, E Lejeune - Biomechanics and Modeling in Mechanobiology, 2024 - Springer
From biological organs to soft robotics, highly deformable materials are essential
components of natural and engineered systems. These highly deformable materials can …
components of natural and engineered systems. These highly deformable materials can …
[HTML][HTML] Gecko adhesion based sea star crawler robot
Over the years, efforts in bioinspired soft robotics have led to mobile systems that emulate
features of natural animal locomotion. This includes combining mechanisms from multiple …
features of natural animal locomotion. This includes combining mechanisms from multiple …
A Fabrication and Simulation Recipe for Untethering Soft-Rigid Robots with Cable-Driven Stiffness Modulation
We explore the idea of robotic mechanisms that can shift between soft and rigid states, with
the long-term goal of creating robots that marry the flexibility and robustness of soft robots …
the long-term goal of creating robots that marry the flexibility and robustness of soft robots …
Inverse Design of Snap-Actuated Jumping Robots Powered by Mechanics-Aided Machine Learning
Exploring the design and control strategies of soft robots through simulation is highly
attractive due to its cost-effectiveness. Although many existing models (eg, finite element …
attractive due to its cost-effectiveness. Although many existing models (eg, finite element …
Machine learning-driven gas identification in gas sensors
Gas identification plays a critical role in characterizing our (chemical) environment. It allows
to warn of hazardous gases and may help to diagnose medical conditions. Miniaturized gas …
to warn of hazardous gases and may help to diagnose medical conditions. Miniaturized gas …