2011
DOI: 10.1109/tro.2011.2132850
|View full text |Cite
|
Sign up to set email alerts
|

Two-Flexible-Fingers Gripper Force Feedback Control System for Its Application as End Effector on a 6-DOF Manipulator

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
28
0
1

Year Published

2011
2011
2022
2022

Publication Types

Select...
4
4

Relationship

0
8

Authors

Journals

citations
Cited by 49 publications
(29 citation statements)
references
References 33 publications
0
28
0
1
Order By: Relevance
“…Most robotic arms use some mean of force-feedback, that is absolutely reasonable [16][17][18] because the information from the sense of touch is highly important in the case of the real hand also. Force-feedback is necessary, because multi-loop control with visual feedback towards the user and position control with inner feedback loops are not sufficient for fine movement [14].…”
Section: Tasks For the Near Futurementioning
confidence: 99%
“…Most robotic arms use some mean of force-feedback, that is absolutely reasonable [16][17][18] because the information from the sense of touch is highly important in the case of the real hand also. Force-feedback is necessary, because multi-loop control with visual feedback towards the user and position control with inner feedback loops are not sufficient for fine movement [14].…”
Section: Tasks For the Near Futurementioning
confidence: 99%
“…However, especial techniques to detect and prevent slippage have been widely used; almost more studies were focused on applying adequately high and previously known forces to prevent slip [1]. Thus, the main problem is how to save a stable grasp, in spite of it is very difficult to predict the type of the object that will be grasped because there are different types of objects in terms of shape, weight, friction coefficient, stiffness, etc.…”
Section: Introduction and Previous Workmentioning
confidence: 99%
“…Kobayashi et al [13] used force/torque sensor, which measures pressure distribution to detect slip. Rather than increasing gripping force, it was proposed more fingers to be applied in order to stop slipping, from the previous research, the remarks can be concluded as follows: (1) Most literatures focused on the location of the sensor so as not to affect the performance of the robotic or prosthetic hands; (2) Some approaches have been used a camera as a vision sensor to estimate the eccentricity degree of contact region, with this approach there is a problem, how to embed camera in relatively small size places like hands. Moreover, processing speed based on the number of frames per second (frame rate) of vision, and achievement detection slippage at high speeds is generally difficult; (3) Some of researchers weren't invented novel sensing technologies, but incorporated different kinds of sensors; (4) Detection slippage by estimation the coefficient of friction, this technique is not accurate and indirect measurement.…”
Section: Introduction and Previous Workmentioning
confidence: 99%
“…However, the proposed controllers may not guarantee a global stability under possible large initial tracking errors at fast tip speed. [10][11][12][13][14][15] Therefore, the dynamics of a flexible arm with the tip contact/impact forces can be simplified. [10][11][12][13][14][15] Therefore, the dynamics of a flexible arm with the tip contact/impact forces can be simplified.…”
Section: Introductionmentioning
confidence: 99%
“…21 In order to consider the compliance of the environment, the contact surface was modeled [41][42][43][44][45][46] and some methods based on a lumped parameter model for a single-link flexible robot have been published. [10][11][12][13][14][15] Accordingly, a variety of nonlinear hybrid force-position controllers were proposed using nonlinear finite-dimensional dynamic models [22][23][24][25][26][27][28] for some two-and three-dimensional constrained flexible robots. However, only one or two degrees-of-freedom flexible robot was considered in these studies.…”
Section: Introductionmentioning
confidence: 99%