Deep neural network approach in robot tool dynamics identification for bilateral teleoperation
For bilateral teleoperation, the haptic feedback demands the availability of accurate force
information transmitted from the remote site. Nevertheless, due to the limitation of the size …
information transmitted from the remote site. Nevertheless, due to the limitation of the size …
A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone
As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
Internet of things (IoT)-based collaborative control of a redundant manipulator for teleoperated minimally invasive surgeries
In this paper, an Internet of Things-based human-robot collaborative control scheme is
developed in Robot-assisted Minimally Invasive Surgery scenario. A hierarchical …
developed in Robot-assisted Minimally Invasive Surgery scenario. A hierarchical …
A bioinspired virtual reality toolkit for robot-assisted medical application: Biovrbot
The increasingly pervasive usage of robotic surgery not only calls for advances in clinical
application but also implies high availability for preliminary medical education using virtual …
application but also implies high availability for preliminary medical education using virtual …
A compact FBG-based triaxial force sensor with parallel helical beams for robotic-assisted surgery
J Li, C Wang, Z Mao, Y Liu, Z Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Force sensing is important for surgical robotics in order to realize surgical palpation and
ensure surgical safety. In this article, we design a compact triaxial force sensor based on …
ensure surgical safety. In this article, we design a compact triaxial force sensor based on …
Tracking control of redundant manipulator under active remote center-of-motion constraints: An RNN-based metaheuristic approach
In this paper, we propose a recurrent neural network (RNN) for the tracking control of
surgical robots while satisfying remote center-of-motion (RCM) constraints. RCM constraints …
surgical robots while satisfying remote center-of-motion (RCM) constraints. RCM constraints …
Neural network enhanced robot tool identification and calibration for bilateral teleoperation
In teleoperated surgery, the transmission of force feedback from the remote environment to
the surgeon at the local site requires the availability of reliable force information in the …
the surgeon at the local site requires the availability of reliable force information in the …
A hierarchical control and learning network for redundant manipulators with unknown physical parameters
This article proposes a hierarchical control and learning (HCL) network to implement
multitask hierarchical control and physical parameter estimation for the redundant …
multitask hierarchical control and physical parameter estimation for the redundant …
State of the art in movement around a remote point: a review of remote center of motion in robotics
W Zhang, Z Wang, K Ma, F Liu, P Cheng… - Frontiers of Mechanical …, 2024 - Springer
The concept of remote center of motion (RCM) is pivotal in a myriad of robotic applications,
encompassing areas such as medical robotics, orientation devices, and exoskeletal …
encompassing areas such as medical robotics, orientation devices, and exoskeletal …
Bilateral teleoperation control of a redundant manipulator with an rcm kinematic constraint
In this paper, a bilateral teleoperation control of a serial robot manipulator, which guarantees
a Remote Center of Motion (RCM) constraint in its kinematic level, is developed. A two …
a Remote Center of Motion (RCM) constraint in its kinematic level, is developed. A two …