Deep neural network approach in robot tool dynamics identification for bilateral teleoperation

H Su, W Qi, C Yang, J Sandoval… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
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 …

A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone

W Qi, H Su, C Yang, G Ferrigno, E De Momi, A Aliverti - Sensors, 2019 - mdpi.com
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 …

Internet of things (IoT)-based collaborative control of a redundant manipulator for teleoperated minimally invasive surgeries

H Su, SE Ovur, Z Li, Y Hu, J Li, A Knoll… - … on robotics and …, 2020 - ieeexplore.ieee.org
In this paper, an Internet of Things-based human-robot collaborative control scheme is
developed in Robot-assisted Minimally Invasive Surgery scenario. A hierarchical …

A bioinspired virtual reality toolkit for robot-assisted medical application: Biovrbot

H Su, FJ Sheiban, W Qi, SE Ovur… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

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 …

Tracking control of redundant manipulator under active remote center-of-motion constraints: An RNN-based metaheuristic approach

AH Khan, S Li, X Cao - Science China information sciences, 2021 - Springer
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 …

Neural network enhanced robot tool identification and calibration for bilateral teleoperation

H Su, C Yang, H Mdeihly, A Rizzo, G Ferrigno… - IEEE …, 2019 - ieeexplore.ieee.org
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 …

A hierarchical control and learning network for redundant manipulators with unknown physical parameters

Z **e, L **, X Lv - IEEE Transactions on Industrial Electronics, 2024 - ieeexplore.ieee.org
This article proposes a hierarchical control and learning (HCL) network to implement
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 …

Bilateral teleoperation control of a redundant manipulator with an rcm kinematic constraint

H Su, Y Schmirander, Z Li, X Zhou… - … on Robotics and …, 2020 - ieeexplore.ieee.org
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 …