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 …
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 …
[HTML][HTML] A survey on design, actuation, modeling, and control of continuum robot
J Zhang, Q Fang, P Xiang, D Sun, Y Xue… - Cyborg and Bionic …, 2022 - spj.science.org
In this paper, we describe the advances in the design, actuation, modeling, and control field
of continuum robots. After decades of pioneering research, many innovative structural …
of continuum robots. After decades of pioneering research, many innovative structural …
Continuum robots for manipulation applications: A survey
S Kolachalama, S Lakshmanan - Journal of Robotics, 2020 - Wiley Online Library
This paper presents a literature survey documenting the evolution of continuum robots over
the past two decades (1999–present). Attention is paid to bioinspired soft robots with respect …
the past two decades (1999–present). Attention is paid to bioinspired soft robots with respect …
Hierarchical control of soft manipulators towards unstructured interactions
Performing daily interaction tasks such as opening doors and pulling drawers in
unstructured environments is a challenging problem for robots. The emergence of soft …
unstructured environments is a challenging problem for robots. The emergence of soft …
A survey for machine learning-based control of continuum robots
Soft continuum robots have been accepted as a promising category of biomedical robots,
accredited to the robots' inherent compliance that makes them safely interact with their …
accredited to the robots' inherent compliance that makes them safely interact with their …
Open loop position control of soft continuum arm using deep reinforcement learning
S Satheeshbabu, NK Uppalapati… - … on Robotics and …, 2019 - ieeexplore.ieee.org
Soft robots undergo large nonlinear spatial deformations due to both inherent actuation and
external loading. The physics underlying these deformations is complex, and often requires …
external loading. The physics underlying these deformations is complex, and often requires …
Model-based online learning and adaptive control for a “human-wearable soft robot” integrated system
Soft robots are considered intrinsically safe with regard to human–robot interaction. This has
motivated the development and investigation of soft medical robots, such as soft robotic …
motivated the development and investigation of soft medical robots, such as soft robotic …
[HTML][HTML] Gaussian process regression for forward and inverse kinematics of a soft robotic arm
The use of soft robotics to perform tasks and interact with the environment requires good
system identification. Data-driven methods offer a promising alternative where traditional …
system identification. Data-driven methods offer a promising alternative where traditional …
A fuzzy reinforcement learning approach for continuum robot control
M Goharimanesh, A Mehrkish… - Journal of Intelligent & …, 2020 - Springer
Continuum robots (CRs) hold great potential for many medical and industrial applications
where compliant interaction within the potentially confined environment is required …
where compliant interaction within the potentially confined environment is required …