Model-based control of soft robots: A survey of the state of the art and open challenges
From a functional standpoint, classic robots are not at all similar to biological systems. If
compared with rigid robots, animals' bodies look overly redundant, imprecise, and weak …
compared with rigid robots, animals' bodies look overly redundant, imprecise, and weak …
Review of machine learning methods in soft robotics
Soft robots have been extensively researched due to their flexible, deformable, and adaptive
characteristics. However, compared to rigid robots, soft robots have issues in modeling …
characteristics. However, compared to rigid robots, soft robots have issues in modeling …
Control strategies for soft robot systems
Soft robots have recently attracted increased attention because their characteristics of low‐
cost fabrication, durability, and deformability make them uniquely suited for applications in …
cost fabrication, durability, and deformability make them uniquely suited for applications in …
Soft robots modeling: A structured overview
The robotics community has seen an exponential growth in the level of complexity of the
theoretical tools presented for the modeling of soft robotics devices. Different solutions have …
theoretical tools presented for the modeling of soft robotics devices. Different solutions have …
Toward perceptive soft robots: Progress and challenges
In the past few years, soft robotics has rapidly become an emerging research topic, opening
new possibilities for addressing real‐world tasks. Perception can enable robots to effectively …
new possibilities for addressing real‐world tasks. Perception can enable robots to effectively …
Control strategies for soft robotic manipulators: A survey
With the rise of soft robotics technology and applications, there have been increasing
interests in the development of controllers appropriate for their particular design. Being …
interests in the development of controllers appropriate for their particular design. Being …
Model-based reinforcement learning for closed-loop dynamic control of soft robotic manipulators
Dynamic control of soft robotic manipulators is an open problem yet to be well explored and
analyzed. Most of the current applications of soft robotic manipulators utilize static or quasi …
analyzed. Most of the current applications of soft robotic manipulators utilize static or quasi …
Long shape memory alloy tendon-based soft robotic actuators and implementation as a soft gripper
JH Lee, YS Chung, H Rodrigue - Scientific reports, 2019 - nature.com
Shape memory alloy (SMA) wire-based soft actuators have had their performance limited by
the small stroke of the SMA wire embedded within the polymeric matrix. This intrinsically …
the small stroke of the SMA wire embedded within the polymeric matrix. This intrinsically …
[HTML][HTML] Closed-loop 4D-printed soft robots
Soft robotics is a recent and rapidly growing field of research that encompasses emerging
advances in functional materials, fabrication, modelling, and performance control with …
advances in functional materials, fabrication, modelling, and performance control with …
Machine learning for soft robotic sensing and control
Herein, the progress of machine learning methods in the field of soft robotics, specifically in
the applications of sensing and control, is outlined. Data‐driven methods such as machine …
the applications of sensing and control, is outlined. Data‐driven methods such as machine …