Improved feature point pair purification algorithm based on SIFT during endoscope image stitching
Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions.
However, the imaging range of endoscopes is small, which may affect the doctors' judgment …
However, the imaging range of endoscopes is small, which may affect the doctors' judgment …
A human activity-aware shared control solution for medical human–robot interaction
Purpose The purpose of this paper is to develop a human activity-aware adaptive shared
control solution for human–robot interaction in surgical operation. Hands-on control and …
control solution for human–robot interaction in surgical operation. Hands-on control and …
Dynamic dense graph convolutional network for skeleton-based human motion prediction
Graph Convolutional Networks (GCN) which typically follows a neural message passing
framework to model dependencies among skeletal joints has achieved high success in …
framework to model dependencies among skeletal joints has achieved high success in …
Robotics Perception and Control: Key Technologies and Applications
The integration of advanced sensor technologies has significantly propelled the dynamic
development of robotics, thus inaugurating a new era in automation and artificial …
development of robotics, thus inaugurating a new era in automation and artificial …
Multifingered robot hand compliant manipulation based on vision-based demonstration and adaptive force control
Multifingered hand dexterous manipulation is quite challenging in the domain of robotics.
One remaining issue is how to achieve compliant behaviors. In this work, we propose a …
One remaining issue is how to achieve compliant behaviors. In this work, we propose a …
A vision-based virtual fixture with robot learning for teleoperation
Teleoperation plays a key role for semi-automated tasks with high complexity in remote
working environment. By integrating the interaction information and control strategy, the …
working environment. By integrating the interaction information and control strategy, the …
An underwater dam crack image segmentation method based on multi-level adversarial transfer learning
X Fan, P Cao, P Shi, X Chen, X Zhou, Q Gong - Neurocomputing, 2022 - Elsevier
Crack detection is necessary to ensure the health of dams. Traditional detection methods
perform poorly because of weak adaptability and poor image quality. Deep learning shows …
perform poorly because of weak adaptability and poor image quality. Deep learning shows …
Prescribed performance control for teleoperation system of nonholonomic constrained mobile manipulator without any approximation function
Y Yang, Y Yan, C Hua, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The teleoperation system of mobile manipulator has been widely applied for space
exploration, medical assistance, and other fields. To improve operational efficiency, this …
exploration, medical assistance, and other fields. To improve operational efficiency, this …
Human-assisted regulation of deployment of tethered space robot via feasibility condition optimization and fast logarithmic sliding mode
Z Ma, X Duan, X Liu, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The feasibility analysis and performance optimization are great challenges of the
underactuated deployment of a tethered space robot. This article presents an investigation …
underactuated deployment of a tethered space robot. This article presents an investigation …
Adaptive compliant skill learning for contact-rich manipulation with human in the loop
It is essential for the robot manipulator to adapt to unexpected events and dynamic
environments while executing the physical contact-rich tasks. Although a range of methods …
environments while executing the physical contact-rich tasks. Although a range of methods …