scholarly journals Tactile Sensors: Rapid Manufacturing of Mechanoreceptive Skins for Slip Detection in Robotic Grasping (Adv. Mater. Technol. 1/2017)

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Alexi Charalambides ◽  
Sarah Bergbreiter
Keyword(s):  
Rapid Manufacturing ◽  
Robotic Grasping ◽  
Tactile Sensors ◽  
Slip Detection

scholarly journals Neuromorphic Event-Based Slip Detection and Suppression in Robotic Grasping and Manipulation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 153364-153384 ◽  
Author(s):  
Rajkumar Muthusamy ◽  
Xiaoqian Huang ◽  
Yahya Zweiri ◽  
Lakmal Seneviratne ◽  
Dongming Gan
Keyword(s):  
Robotic Grasping ◽  
Grasping And Manipulation ◽  
Event Based ◽  
Slip Detection

Highly sensitive capacitive flexible 3D-force tactile sensors for robotic grasping and manipulation

2020 ◽  
Vol 53 (44) ◽  
pp. 445109
Author(s):  
Tianyang Yao ◽  
Xiaohui Guo ◽  
Cuicui Li ◽  
Haiqiang Qi ◽  
Huai Lin ◽  
...  
Keyword(s):  
Robotic Grasping ◽  
Tactile Sensors ◽  
Highly Sensitive ◽  
Grasping And Manipulation

Friction-based slip detection in robotic grasping

2015 ◽  
Author(s):  
Pavel Dzitac ◽  
Abdul Md Mazid ◽  
M. Yousef Ibrahim ◽  
Gayan Kahandawa Appuhamillage ◽  
T. A. Choudhury
Keyword(s):  
Robotic Grasping ◽  
Slip Detection

Finger‐Skin‐Inspired Flexible Optical Sensor for Force Sensing and Slip Detection in Robotic Grasping

2021 ◽  
pp. 2100285
Author(s):  
Chengpeng Jiang ◽  
Zhang Zhang ◽  
Jing Pan ◽  
Yancheng Wang ◽  
Lei Zhang ◽  
...  
Keyword(s):  
Optical Sensor ◽  
Force Sensing ◽  
Robotic Grasping ◽  
Finger Skin ◽  
Slip Detection

A New Highly Sensitive Dielectric Slip Detection Sensor for a Robotic Operation

2017 ◽  
Author(s):  
Sung Joon Kim ◽  
Ja Choon Koo
Keyword(s):  
Tactile Sensor ◽  
Relative Displacement ◽  
Large Area ◽  
Tactile Sensors ◽  
Post Process ◽  
Highly Sensitive ◽  
Grasping And Manipulation ◽  
Working Principle ◽  
Slip Detection

For dexterous grasping and manipulation, tactile sensors recognizing contact object are essential. Electronic skin (E-skin) with tactile sensors plays a role as both receiving information for grasping and protecting robot frame. This paper presents a polymer tactile sensor covering large area to fulfill role of E-skin. The sensor has a thin air gap between polymer layers and it is deformed reacting slip input. When slip is occurred, there is relative displacement between surrounding layer and it incurs change of electrode separation. NBR is used to sensor substrate because of its tough and flexible characteristic. Ultrathin aluminum tape is employed for electrodes. There is a changeability of size of the sensor because of its simple but effective working principle and structure. Slip detecting algorithm doesn’t have a post process such as FFT or DWT, so there isn’t delay for processing time. It realizes real-time slip detection reducing reaction time of robot hand.

Development of Direct-printed Tactile Sensors for Gripper Control through Contact and Slip Detection

2018 ◽  
Vol 16 (2) ◽  
pp. 929-936 ◽  
Author(s):  
Ju-Kyoung Lee ◽  
Hyun-Hee Kim ◽  
Jae-Won Choi ◽  
Kyung-Chang Lee ◽  
Suk Lee
Keyword(s):  
Tactile Sensors ◽  
Slip Detection

scholarly journals Tactile Sensors for Friction Estimation and Incipient Slip Detection—Toward Dexterous Robotic Manipulation: A Review

2018 ◽  
Vol 18 (22) ◽  
pp. 9049-9064 ◽  
Author(s):  
Wei Chen ◽  
Heba Khamis ◽  
Ingvars Birznieks ◽  
Nathan F. Lepora ◽  
Stephen J. Redmond
Keyword(s):  
Robotic Manipulation ◽  
Tactile Sensors ◽  
Friction Estimation ◽  
Slip Detection

Tactile Behaviors with the Vision-Based Tactile Sensor FingerVision

2019 ◽  
Vol 16 (03) ◽  
pp. 1940002 ◽  
Author(s):  
Akihiko Yamaguchi ◽  
Christopher G. Atkeson
Keyword(s):  
Computer Vision ◽  
High Resolution ◽  
Contact Force ◽  
Low Cost ◽  
Tactile Sensor ◽  
Tactile Sensors ◽  
Elastic Skin ◽  
Slip Detection

This paper introduces a vision-based tactile sensor FingerVision, and explores its usefulness in tactile behaviors. FingerVision consists of a transparent elastic skin marked with dots, and a camera that is easy to fabricate, low cost, and physically robust. Unlike other vision-based tactile sensors, the complete transparency of the FingerVision skin provides multimodal sensation. The modalities sensed by FingerVision include distributions of force and slip, and object information such as distance, location, pose, size, shape, and texture. The slip detection is very sensitive since it is obtained by computer vision directly applied to the output from the FingerVision camera. It provides high-resolution slip detection, which does not depend on the contact force, i.e., it can sense slip of a lightweight object that generates negligible contact force. The tactile behaviors explored in this paper include manipulations that utilize this feature. For example, we demonstrate that grasp adaptation with FingerVision can grasp origami, and other deformable and fragile objects such as vegetables, fruits, and raw eggs.

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