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Additive manufacturing aimed to soft robots fabrication: A review
In the 21st century, robotics has been revolutionized by a new perspective: robots made of
soft materials mimicking nature show several advantages compared to hard robot …
soft materials mimicking nature show several advantages compared to hard robot …
A review of soft manipulator research, applications, and opportunities
X Chen, X Zhang, Y Huang, L Cao… - Journal of Field …, 2022 - Wiley Online Library
Soft manipulator is a kind of special manipulator that uses soft material or flexible structure to
perform manipulation task under the specific drive mode inspired by the soft tissue. It is …
perform manipulation task under the specific drive mode inspired by the soft tissue. It is …
Increasing the payload capacity of soft robot arms by localized stiffening
Soft robot arms offer safety and adaptability due to their passive compliance, but this
compliance typically limits their payload capacity and prevents them from performing many …
compliance typically limits their payload capacity and prevents them from performing many …
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 …
Closed-loop dynamic control of a soft manipulator using deep reinforcement learning
The focus of the research community in the soft robotic field has been on develo**
innovative materials, but the design of control strategies applicable to these robotic platforms …
innovative materials, but the design of control strategies applicable to these robotic platforms …
An overview of stiffening approaches for continuum robots
Continuum robots have become more popular recently due to their scalable dexterity and
mobility. However, they may suffer from issues like insufficient stiffness because they are …
mobility. However, they may suffer from issues like insufficient stiffness because they are …
Soft robot control with a learned differentiable model
Soft robots are inherently safe and comply readily to their environment. They are therefore
exciting for applications like search and rescue or medicine, which involve a high degree of …
exciting for applications like search and rescue or medicine, which involve a high degree of …
Learning dynamic models for open loop predictive control of soft robotic manipulators
The soft capabilities of biological appendages like the arms of Octopus vulgaris and
elephants' trunks have inspired roboticists to develop their robotic equivalents. Although …
elephants' trunks have inspired roboticists to develop their robotic equivalents. Although …
Learning closed loop kinematic controllers for continuum manipulators in unstructured environments
This article introduces a machine-learning-based approach for closed loop kinematic control
of continuum manipulators in the task space. For this purpose, we propose a unique …
of continuum manipulators in the task space. For this purpose, we propose a unique …
Biomedical soft robots: current status and perspective
This paper reviews the current status of soft robots in biomedical field. Soft robots are made
of materials that have comparable modulus of elasticity to that of biological systems. Several …
of materials that have comparable modulus of elasticity to that of biological systems. Several …