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 …
Review of robot skin: A potential enabler for safe collaboration, immersive teleoperation, and affective interaction of future collaborative robots
The emerging applications of collaborative robots (cobots) are spilling out from product
manufactories to service industries for human care, such as patient care for combating the …
manufactories to service industries for human care, such as patient care for combating the …
[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 …
Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications
Soft electromechanical sensors have led to a new paradigm of electronic devices for novel
motion-based wearable applications in our daily lives. However, the vast amount of random …
motion-based wearable applications in our daily lives. However, the vast amount of random …
Distributed sensing along fibers for smart clothing
Textile sensors transform our everyday clothing into a means to track movement and
biosignals in a completely unobtrusive way. One major hindrance to the adoption of “smart” …
biosignals in a completely unobtrusive way. One major hindrance to the adoption of “smart” …
Probabilistic modeling and Bayesian filtering for improved state estimation for soft robots
State estimation is one of the key requirements in robot control, which has been achieved by
kinematic and dynamic models combined with motion sensors in traditional robotics …
kinematic and dynamic models combined with motion sensors in traditional robotics …
Single-input single-output multi-touch soft sensor systems using band-pass filters
In many soft sensor systems, external wires for connecting the sensors to control circuits
have posed practical problems, in terms of compact form factors and physical robustness …
have posed practical problems, in terms of compact form factors and physical robustness …
A shortcut enhanced LSTM-GCN network for multi-sensor based human motion tracking
Multi-sensor based motion tracking is of great interest to the robotics community as it may
lessen the need for expensive optical motion capture equipment. However, the traditional …
lessen the need for expensive optical motion capture equipment. However, the traditional …
Predicting grasp success with a soft sensing skin and shape-memory actuated gripper
Tactile sensors have been increasingly used to support rigid robot grippers in object
gras** and manipulation. However, rigid grippers are often limited in their ability to handle …
gras** and manipulation. However, rigid grippers are often limited in their ability to handle …
A review in on-body compression using soft actuators and sensors: Applications, mechanisms, and challenges
Body compression through a garment or inflatable pneumatic mechanism has various
applications in aesthetic, athletic, robotics, haptics, astronautics, and especially medical …
applications in aesthetic, athletic, robotics, haptics, astronautics, and especially medical …