Incipient Slip Detection and Control Using a Rubber-Based Tactile Sensor

1996 ◽  
Vol 29 (1) ◽  
pp. 475-480 ◽  
Author(s):  
L. Marconi ◽  
C. Melchiorri
Keyword(s):  
Tactile Sensor ◽  
And Control ◽  
Slip Detection

A High-Speed Tactile Sensor for Slip Detection

2012 ◽  
pp. 403-415 ◽  
Author(s):  
Carsten Schürmann ◽  
Matthias Schöpfer ◽  
Robert Haschke ◽  
Helge Ritter
Keyword(s):  
High Speed ◽  
Tactile Sensor ◽  
Slip Detection

scholarly journals Grasping Force Control of Multi-fingered Robot Hand based on Slip Detection Using Tactile Sensor

2007 ◽  
Vol 25 (6) ◽  
pp. 970-978 ◽  
Author(s):  
Daisuke Gunji ◽  
Takuma Araki ◽  
Akio Namiki ◽  
Aiguo Ming ◽  
Makoto Shimojo
Keyword(s):  
Force Control ◽  
Tactile Sensor ◽  
Robot Hand ◽  
Grasping Force ◽  
Slip Detection

scholarly journals Learning Spatio Temporal Tactile Features with a ConvLSTM for the Direction Of Slip Detection

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 523 ◽  
Author(s):  
Brayan Zapata-Impata ◽  
Pablo Gil ◽  
Fernando Torres
Keyword(s):  
Tactile Sensor ◽  
Robotic Manipulators ◽  
Complex Task ◽  
Spatio Temporal ◽  
Unseen Objects ◽  
Slip Detection

Robotic manipulators have to constantly deal with the complex task of detecting whether a grasp is stable or, in contrast, whether the grasped object is slipping. Recognising the type of slippage—translational, rotational—and its direction is more challenging than detecting only stability, but is simultaneously of greater use as regards correcting the aforementioned grasping issues. In this work, we propose a learning methodology for detecting the direction of a slip (seven categories) using spatio-temporal tactile features learnt from one tactile sensor. Tactile readings are, therefore, pre-processed and fed to a ConvLSTM that learns to detect these directions with just 50 ms of data. We have extensively evaluated the performance of the system and have achieved relatively high results at the detection of the direction of slip on unseen objects with familiar properties (82.56% accuracy).

116 Slip detection using a hybrid tactile sensor system for a robot gripping an object

2012 ◽  
Vol 2012.61 (0) ◽  
pp. _116-1_-_116-2_
Author(s):  
Naoto INAGUMA ◽  
Takuya KAWAMURA ◽  
Kazuo TANI ◽  
Hironao YAMADA
Keyword(s):  
Tactile Sensor ◽  
Sensor System ◽  
Slip Detection

A Flexible Tactile Capacitive Sensor for Slip Detection

2011 ◽  
Author(s):  
Jinah Chung ◽  
Baek-chul Kim ◽  
H. R. Choi ◽  
H. P. Moon ◽  
Y. K. Lee ◽  
...  
Keyword(s):  
Tactile Sensor ◽  
Capacitive Sensor ◽  
Robot Hand ◽  
Sensor Device ◽  
Sensor Structure ◽  
Slip Sensor ◽  
Slip Detection

A tactile sensor for slip detection is necessary for humanlike grasping in robot hand. This paper reports a capacitive tactile slip sensor that can detect slip on the surface of the sensor structure. The newly developed capacitive slip sensor uses acrlyro-nitrile butadien rubber (NBR) as substrate. The presented sensor device in this paper has fingerprint -like structures that are similar with the role of the human’s fingerprint. Movement of the structure that attached on surface of substrate arise capacitance changes, and these are used to detect slip. We carried out slip experiment by prototype of capacitive slip sensor and slip was successfully detected.

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 Study on Slip Controller for Safety Improvement of Running Flat Road for Motorized Wheelchair

2015 ◽  
Vol 789-790 ◽  
pp. 906-912
Author(s):  
Bo Min Kim ◽  
Won Yung Lee ◽  
Eung Hyuk Lee
Keyword(s):  
Detection Algorithm ◽  
Control Variables ◽  
Slip Ratio ◽  
Safety Improvement ◽  
Left And Right ◽  
And Control ◽  
Slip Detection

A slip controller that can move against the off-track and control excursion caused by slips while driving a motorized wheelchair is proposed. Detecting slips in a motorized wheelchair is to detect states of the motorized wheelchair and its motors in a traveling condition. For carrying it, slip ratios are calculated using a slip detection algorithm based on the information obtained from the six-axis IMU sensor and the encoders, which are connected to both left and right motors. The calculated slip ratios are used as control variables for improving the safety in a motorized wheelchair. In the experiment of the slip controller proposed in this study, slips are verified in a proposed track. Also, it is verified that the maximum slip ratio section is determined while turning left or right.

Sign in / Sign up

Export Citation Format

Share Document