Machine learning for tactile perception: advancements, challenges, and opportunities
The past decades have seen the rapid development of tactile sensors in material,
fabrication, and mechanical structure design. The advancement of tactile sensors has …
fabrication, and mechanical structure design. The advancement of tactile sensors has …
Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network
Touch-free guided hand gesture recognition for human-robot interactions plays an
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
Fuzzy approximation-based task-space control of robot manipulators with remote center of motion constraint
The presence of unknown physical interaction between the patients' body and surgical tool
in laparoscopic surgery requires a secure end-effector positioning while assuring a reliable …
in laparoscopic surgery requires a secure end-effector positioning while assuring a reliable …
A review on deep learning in minimally invasive surgery
In the last five years, deep learning has attracted great interest in computer-assisted systems
for Minimally Invasive Surgery. The straightforward accessibility to images in surgical …
for Minimally Invasive Surgery. The straightforward accessibility to images in surgical …
Combining time-series evidence: A complex network model based on a visibility graph and belief entropy
X Song, F **ao - Applied Intelligence, 2022 - Springer
Combining basic probability assignments (BPAs) with time series is common in real-life
cases. Therefore, a new evidence fusion approach based on belief entropy and a visibility …
cases. Therefore, a new evidence fusion approach based on belief entropy and a visibility …
CORNet: Context-based ordinal regression network for monocular depth estimation
Monocular depth estimation, as one of the fundamental tasks of computer vision, plays a
crucial role in three-dimensional (3D) scene understanding and perception. Usually, deep …
crucial role in three-dimensional (3D) scene understanding and perception. Usually, deep …
Fast localization and segmentation of tissue abnormalities by autonomous robotic palpation
Robot-assisted minimally invasive surgery (RMIS) has become increasingly popular in the
resection of cancers. However, the lack of tactile feedback in clinical RMIS limits the …
resection of cancers. However, the lack of tactile feedback in clinical RMIS limits the …
Efficient and Collision-Free Human–Robot Collaboration Based on Intention and Trajectory Prediction
Human–robot collaboration (HRC) is an important topic for manufacturing and household
robotics. It is very challenging to ensure both efficiency and safety in HRC. This article …
robotics. It is very challenging to ensure both efficiency and safety in HRC. This article …
Action augmentation of tactile perception for soft-body palpation
Medical palpation is a diagnostic technique in which physicians use the sense of touch to
manipulate the soft human tissue. This can be done to enable the diagnosis of possibly life …
manipulate the soft human tissue. This can be done to enable the diagnosis of possibly life …
Physics-constrained deep learning for robust inverse ecg modeling
The rapid development in advanced sensing and imaging brings about a data-rich
environment, facilitating the effective modeling, monitoring, and control of complex systems …
environment, facilitating the effective modeling, monitoring, and control of complex systems …