Learn from model beyond fine-tuning: A survey
Foundation models (FM) have demonstrated remarkable performance across a wide range
of tasks (especially in the fields of natural language processing and computer vision) …
of tasks (especially in the fields of natural language processing and computer vision) …
Data-driven methods applied to soft robot modeling and control: A review
Soft robots show compliance and have infinite degrees of freedom. Thanks to these
properties, such robots can be leveraged for surgery, rehabilitation, biomimetics …
properties, such robots can be leveraged for surgery, rehabilitation, biomimetics …
Optimized Design of a Soft Actuator Considering Force/Torque, Bendability, and Controllability via an Approximated Structure
This paper introduces a novel design method that enhances the force/torque, bendability,
and controllability of soft pneumatic actuators (SPAs). The complex structure of the soft …
and controllability of soft pneumatic actuators (SPAs). The complex structure of the soft …
Nonlinear Parameter-Varying Modeling for Soft Pneumatic Actuators and Data-Driven Parameter Estimation
Accurately modeling soft robots remains a challenge due to their inherent nonlinear
behavior and parameter variations. This paper presents a novel approach to modeling soft …
behavior and parameter variations. This paper presents a novel approach to modeling soft …
Data-driven Explainable Controller for Soft Robots based on Recurrent Neural Networks
The nonlinearity and hysteresis of soft robot motions have posed challenges in accurate soft
robot control. Neural networks, especially recurrent neural networks (RNNs), have been …
robot control. Neural networks, especially recurrent neural networks (RNNs), have been …
Torque-Bounded Admittance Control With Implicit Euler Realization of Set-Valued Operators
When a robot collides with environments of unknown stiffness, the resultant torque
saturation can cause the conventional admittance control to exhibit unsafe behaviors such …
saturation can cause the conventional admittance control to exhibit unsafe behaviors such …
[PDF][PDF] Optimized Residual Action for Interaction Control with Learned Environments
In industrial settings, robotic tasks often require interaction with various objects,
necessitating compliant manipulation to prevent damage while accurately tracking reference …
necessitating compliant manipulation to prevent damage while accurately tracking reference …