2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM) 2017
DOI: 10.1109/icrom.2017.8466168
|View full text |Cite
|
Sign up to set email alerts
|

Dynamic Characterization of a Parallel Haptic Device for Application as an Actuator in a Surgery Simulator

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 12 publications
0
4
0
Order By: Relevance
“…The system parameters are summarized in Table 1. It should be noted that the dynamical properties of Phantom Omni haptic device were chosen for the local robot, as measured in [29], and the dynamical properties of Novint Falcon haptic device were selected for the remote robot based on the identi cation carried out in [30]. Zero initial conditions were also applied for master and slave robots in all simulations.…”
Section: Simulation Results For Certain Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…The system parameters are summarized in Table 1. It should be noted that the dynamical properties of Phantom Omni haptic device were chosen for the local robot, as measured in [29], and the dynamical properties of Novint Falcon haptic device were selected for the remote robot based on the identi cation carried out in [30]. Zero initial conditions were also applied for master and slave robots in all simulations.…”
Section: Simulation Results For Certain Systemmentioning
confidence: 99%
“…the condition z T (t)z(t) < 2 w T (t) w(t) will clearly be concluded. Rewriting Inequality (30) in the form of:…”
Section: Synthesis Of L 1 -Based Controllermentioning
confidence: 99%
“…To design a model predictive feedback (MPC) control scheme for a virtual‐based haptic system, we need to characterize the dynamical behavior of the haptic interfaces . Since the Falcon robot can only provide the position of the end effector to the user, the robot is equipped with UMMA5Kg.f force sensors, produced by Dacell Company that measures the operator forces (Figure A).…”
Section: Development Of An Endoscopic Sinus Training Systemmentioning
confidence: 99%
“…Since the Falcon robot can only provide the position of the end effector to the user, the robot is equipped with UMMA5Kg.f force sensors, produced by Dacell Company that measures the operator forces (Figure A). Moreover, to characterize the haptic device nonlinearities, we applied a piecewise linear model for each operational point in the robot's end‐effector workspace . In our work, an improved online robust model predictive control for a virtual‐based haptic system was proposed based on an online modified robust output feedback MPC algorithm for LPV systems based on a quasi–min‐max algorithm.…”
Section: Development Of An Endoscopic Sinus Training Systemmentioning
confidence: 99%