Robot Soft Grabbing with New Piezoresistive Tactile Sensor

2013 ◽  
Vol 744 ◽  
pp. 501-504 ◽  
Author(s):  
Jin Jun Chen ◽  
Ting Xiang
Keyword(s):  
Control Algorithm ◽  
Statistical Parameter ◽  
Control Program ◽  
Tactile Sensor ◽  
Visible Range ◽  
Human Hand ◽  
Active Perception ◽  
Tactile Sensors ◽  
Technology Application ◽  
And Control

A type of tactile sensors based on piezoresistive principle is designed for the robot grab force detection and control. According to human behaves and awareness, the robot grabbing control program imitate human hand grasp active perception and action mechanisms. With the tactile sensors, the slip and grasping process pressure signal is sampled and analysed by general time-domain statistical parameter, and a simpler control algorithm is researched. In the experiment the robot has accomplished soft grabbing by modeling human hand action and applied appropriate grabbing force on objects of different weights or material by means of the control algorithm. Experiments suggest that this sensor and action biomimetic process is suitable to be used in the tele-presence technology application in the case of the visible range or visual equipment aid especially.

scholarly journals Tactile Slippage Analysis in Optical Three-Axis Tactile Sensor for Robotic Hand

2013 ◽  
Vol 465-466 ◽  
pp. 1375-1379
Author(s):  
Hanafiah Yussof ◽  
Zahari Nur Ismarrubie ◽  
Ahmad Khushairy Makhtar ◽  
Masahiro Ohka ◽  
Siti Nora Basir
Keyword(s):  
Control Algorithm ◽  
Tactile Sensor ◽  
Robotic Hand ◽  
Robot Hand ◽  
Robot Arm ◽  
Tactile Sensors ◽  
Shear Forces ◽  
Improve Performance ◽  
Robot Arm Control ◽  
Two Phases

This paper presents experimental results of object handling motions to evaluate tactile slippage sensation in a multi fingered robot arm with optical three-axis tactile sensors installed on its two hands. The optical three-axis tactile sensor is a type of tactile sensor capable of defining normal and shear forces simultaneously. Shear force distribution is used to define slippage sensation in the robot hand system. Based on tactile slippage analysis, a new control algorithm was proposed. To improve performance during object handling motions, analysis of slippage direction is conducted. The control algorithm is classified into two phases: grasp-move-release and grasp-twist motions. Detailed explanations of the control algorithm based on the existing robot arm control system are presented. The experiment is conducted using a bottle cap, and the results reveal good performance of the proposed control algorithm to accomplish the proposed object handling motions.

scholarly journals Soft Biomimetic Optical Tactile Sensing with the TacTip: A Review

2021 ◽  
Author(s):  
Nathan Lepora
Keyword(s):  
Tactile Sensor ◽  
Step Change ◽  
Tactile Sensors ◽  
The Past ◽  
Robot Hands ◽  
Human Touch ◽  
Skin Morphology ◽  
Sense Of Touch ◽  
And Control ◽  
Human Sense

<div>Reproducing the capabilities of the human sense of touch in machines is an important step in enabling robot manipulation to have the ease of human dexterity. A combination of robotic technologies will be needed, including soft robotics, biomimetics and the high-resolution sensing offered by optical tactile sensors. This combination is considered here as a SoftBOT (Soft Biomimetic Optical Tactile) sensor. This article reviews the BRL TacTip as a prototypical example of such a sensor. Topics include the relation between artificial skin morphology and the transduction principles of human touch, the nature and benefits of tactile shear sensing, 3D printing for fabrication and integration into robot hands, the application of AI to tactile perception and control, and the recent step-change in capabilities due to deep learning. This review consolidates those advances from the past decade to indicate a path for robots to reach human-like dexterity.</div><div><br></div>

scholarly journals Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2471 ◽  
Author(s):  
Andrés Trujillo-León ◽  
Wael Bachta ◽  
Julián Castellanos-Ramos ◽  
Fernando Vidal-Verdú
Keyword(s):  
Tactile Sensor ◽  
Human Hand ◽  
Control Input ◽  
Tactile Sensors ◽  
Powered Wheelchair ◽  
Sensor Device ◽  
Input Variables ◽  
Gripping Force ◽  
The Relationship ◽  
Random Nature

Tactile sensors can be used to build human-machine interfaces, for instance in isometric joysticks or handlebars. When used as input sensor device for control, questions arise related to the contact with the human, which involve ergonomic aspects. This paper focuses on the example application of driving a powered wheelchair as attendant. Since other proposals use force and torque sensors as control input variables, this paper explores the relationship between these variables and others obtained from the tactile sensor. For this purpose, a handlebar is instrumented with tactile sensors and a 6-axis force torque sensor. Several experiments are carried out with this handlebar mounted on a wheelchair and also fixed to a table. It is seen that it is possible to obtain variables well correlated with those provided by force and torque sensors. However, it is necessary to contemplate the influence of issues such as the gripping force of the human hand on the sensor or the different kinds of grasps due to different physical constitutions of humans and to the inherent random nature of the grasp. Moreover, it is seen that a first step is necessary where the contact with the hands has to stabilize, and its characteristics and settle time are obtained.

Application of Improved Fuzzy PID Control Algorithm in Heating Furnace

2011 ◽  
Vol 383-390 ◽  
pp. 760-763
Author(s):  
Hong Jun Wang ◽  
De Xiong Li ◽  
Hui Juan Qi ◽  
Li Na Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Gas Flow ◽  
Control Program ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Modeling And Control ◽  
And Control ◽  
Fuzzy Control Algorithm ◽  
Better Than

e furnace of steel plant is a complex controlled object and it has the properties of nonlinear, Time-varying and delay. Its modeling and control are very difficult. The temperature control of the furnace mainly depends on the control of gas flow. Therefore, the study of a reasonable gas flow control program is the key to increase the level of heating control. In this paper, an improved fuzzy PID control algorithm is proposed, in which, PID control algorithm and fuzzy control algorithm are integrated together, and its characteristics are improved according to feature of furnace. This made the algorithm to have good adaptability and Interference capability. The simulation results show that the improved control algorithm is better than traditional algorithm in overcoming the non-liner, delay of the object and the performance is excellent.

scholarly journals Tactile Sensor for Manipulation of Deformable Object

2018 ◽  
Vol 7 (4.27) ◽  
pp. 101
Author(s):  
Muhammad. A.Ayub ◽  
Rabiatul. A.Jaafar ◽  
Amir Abdul Latif ◽  
. .
Keyword(s):  
Control Algorithm ◽  
Surface Characterization ◽  
Physical Property ◽  
Tactile Sensor ◽  
Handling System ◽  
Minimum Deformation ◽  
Variable Physical Property ◽  
Deformable Materials ◽  
And Control ◽  
Automated Handling

The variable physical property of deformable objects, which are very flexible, soft and viscoelastic, causes the design of reliable automated handling system relatively difficult. In fact, most of these objects tend to be handled manually during the handling process. Therefore, a new optical tactile sensor for an intelligent handling of the non-rigid materials is presented in this paper. Mathematical modelling and control algorithm are developed and the tactile sensor is calibrated in this research. Based on the results that have been recorded, the surface characterization with the respect to normal force applied to the object is attained. A gripper handling system is used to accommodate variable physical properties of the deformable materials, which are very flexible, soft and viscoelastic. In addition to that, the gripper needs to handle the materials with the minimum deformation so that less distortion, and higher accuracy of manipulation can be achieved. Efficient and accurate modelling of deformations is crucial for grasping analysis.   

Simulation and Research of Dual Brush-Less DC Motor Synchronization Control System

2014 ◽  
Vol 687-691 ◽  
pp. 304-308
Author(s):  
Gui Ying Wang ◽  
Xiang Xiang Cheng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Algorithm ◽  
Control Program ◽  
Dc Motor ◽  
Synchronization Control ◽  
Fuzzy Pid ◽  
Pid Algorithm ◽  
Dc Motor Control ◽  
And Control

For dual synchronous brush-less DC motor control system’s operation problems due to load disturbance caused by poor synchronization performance, this article establish a mathematical model of brush-less DC motors and synchronous control system, based on the basis of comparison of various control methods and control synchronization control, use VUFPID control algorithm to compensate for the bias adjustable dual brush-less DC motor control program, and compare with conventional PID and fuzzy PID algorithm. Through the simulation results and conclusions show that VUFPID control algorithm can improve the control system coupled deviation synchronization accuracy, superior to conventional PID and fuzzy PID algorithm system.

scholarly journals A Tent Map BasedA/DConversion Circuit for Robot Tactile Sensor

2013 ◽  
Vol 2013 ◽  
pp. 1-5
Author(s):  
Jianxin Liu ◽  
Xuan Zhang ◽  
Zhiming Li ◽  
Xuling Li
Keyword(s):  
Large Range ◽  
Tactile Sensor ◽  
High Accuracy ◽  
Small Signal ◽  
Tactile Sensors ◽  
Tent Map ◽  
Robot Perception ◽  
Multipath Signal ◽  
And Control ◽  
Parallel Sampling

Force and tactile sensors are basic elements for robot perception and control, which call for large range and high-accuracy amplifier. In this paper, a novelA/Dconversion circuit for array tactile sensor is proposed by using nonlinear tent map phenomenon, which is characterized by sensitivity to small signal and nonlinear amplifying function. The tent map basedA/Dconversion circuits can simultaneously realize amplifying andA/Dconverting functions. The proposed circuit is not only simple but also easy to integrate and produce. It is very suited for multipath signal parallel sampling andA/Dconverting of large array tactile sensor.

scholarly journals Soft Biomimetic Optical Tactile Sensing with the TacTip: A Review

2021 ◽  
Author(s):  
Nathan Lepora
Keyword(s):  
Tactile Sensor ◽  
Step Change ◽  
Tactile Sensors ◽  
The Past ◽  
Robot Hands ◽  
Human Touch ◽  
Skin Morphology ◽  
Sense Of Touch ◽  
And Control ◽  
Human Sense

<div>Reproducing the capabilities of the human sense of touch in machines is an important step in enabling robot manipulation to have the ease of human dexterity. A combination of robotic technologies will be needed, including soft robotics, biomimetics and the high-resolution sensing offered by optical tactile sensors. This combination is considered here as a SoftBOT (Soft Biomimetic Optical Tactile) sensor. This article reviews the BRL TacTip as a prototypical example of such a sensor. Topics include the relation between artificial skin morphology and the transduction principles of human touch, the nature and benefits of tactile shear sensing, 3D printing for fabrication and integration into robot hands, the application of AI to tactile perception and control, and the recent step-change in capabilities due to deep learning. This review consolidates those advances from the past decade to indicate a path for robots to reach human-like dexterity.</div><div><br></div>

A computer-control program for TEM in situ fatigue experiments

1989 ◽  
Vol 47 ◽  
pp. 620-621
Author(s):  
Kenneth S. Vecchio ◽  
John A. Hunt
Keyword(s):  
Slow Crack Growth ◽  
Computer Control ◽  
Control Program ◽  
Video Tape ◽  
Computer Control System ◽  
Transmission Electron ◽  
In Situ Experiments ◽  
Tremendous Amount ◽  
And Control

In-situ experiments conducted within a transmission electron microscope provide the operator a unique opportunity to directly observe microstructural phenomena, such as phase transformations and dislocation-precipitate interactions, “as they happen”. However, in-situ experiments usually require a tremendous amount of experimental preparation beforehand, as well as, during the actual experiment. In most cases the researcher must operate and control several pieces of equipment simultaneously. For example, in in-situ deformation experiments, the researcher may have to not only operate the TEM, but also control the straining holder and possibly some recording system such as a video tape machine. When it comes to in-situ fatigue deformation, the experiments became even more complicated with having to control numerous loading cycles while following the slow crack growth. In this paper we will describe a new method for conducting in-situ fatigue experiments using a camputer-controlled tensile straining holder.The tensile straining holder used with computer-control system was manufactured by Philips for the Philips 300 series microscopes. It was necessary to modify the specimen stage area of this holder to work in the Philips 400 series microscopes because the distance between the optic axis and holder airlock is different than in the Philips 300 series microscopes. However, the program and interfacing can easily be modified to work with any goniometer type straining holder which uses a penrmanent magnet motor.

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