Soft actuators for real-world applications
Inspired by physically adaptive, agile, reconfigurable and multifunctional soft-bodied
animals and human muscles, soft actuators have been developed for a variety of …
animals and human muscles, soft actuators have been developed for a variety of …
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 robot learning for manipulation: Challenges, representations, and algorithms
A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …
interacting with the world around them to achieve their goals. The last decade has seen …
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 …
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 …
Review of deep reinforcement learning-based object grasping: Techniques, open challenges, and recommendations
MQ Mohammed, KL Chung, CS Chyi - IEEE Access, 2020 - ieeexplore.ieee.org
The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …
reinforcement learning-based object manipulation. Various studies are examined through a …
Integrated Actuation and Sensing: Toward Intelligent Soft Robots
Soft robotics has received substantial attention due to its remarkable deformability, making it
well-suited for a wide range of applications in complex environments, such as medicine …
well-suited for a wide range of applications in complex environments, such as medicine …
Dynamic grasping with a" soft" drone: From theory to practice
J Fishman, S Ubellacker, N Hughes… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
Rigid grippers used in existing aerial manipulators require precise positioning to achieve
successful grasps and transmit large contact forces that may destabilize the drone. This …
successful grasps and transmit large contact forces that may destabilize the drone. This …
Kinematics and stiffness modeling of soft robot with a concentric backbone
Soft robots can undergo large elastic deformations and adapt to complex shapes. However,
they lack the structural strength to withstand external loads due to the intrinsic compliance of …
they lack the structural strength to withstand external loads due to the intrinsic compliance of …
Human assistance and augmentation with wearable soft robotics: a literature review and perspectives
Abstract Purpose of Review Wearable soft robotics has demonstrated many unique
capabilities in human assistance and augmentation. This paper discusses the recent trends …
capabilities in human assistance and augmentation. This paper discusses the recent trends …