An Innovative Whisker Tactile Sensor for Intelligent Robotic Grasping

Author(s):  
Sachith Dewthilina Liyanage ◽  
Abdul Md Mazid ◽  
Pavel Dzitac
Author(s):  
Bin Fang ◽  
Hongxiang Xue ◽  
Fuchun Sun ◽  
Yiyong Yang ◽  
Renxiang Zhu

PurposeThe purpose of the paper is to present a novel cross-modal sensor whose tactile is computed by the visual information. The proposed sensor can measure the forces of robotic grasping.Design/methodology/approachThe proposed cross-modal tactile sensor consists of a transparent elastomer with markers, a camera, an LED circuit board and supporting structures. The model and performance of the elastomer are analyzed. Then marker recognition method is proposed to determine the movements of the marker on the surface, and the force calculation algorithm is presented to compute the three-dimension force.FindingsExperimental results demonstrate that the proposed tactile sensor can accurately measure robotic grasping forces.Originality/valueThe proposed cross-modal tactile sensor determines the robotic grasping forces by the images of markers. It can give more information of the force than traditional tactile sensors. Meanwhile, the proposed algorithms for forces calculation determine the superior results.


Proceedings ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 31
Author(s):  
Marco Costanzo ◽  
Giuseppe De Maria ◽  
Ciro Natale ◽  
Salvatore Pirozzi

This paper presents the design of a new force/tactile sensor for robotic applications. The sensor is suitably designed to provide the robotic grasping device with a sensory system mimicking the human sense of touch, namely, a device sensitive to contact forces, object slip and object geometry. This type of perception information is of paramount importance not only in dexterous manipulation but even in simple grasping task, especially when objects are fragile and deformable, such that only a minimum amount of grasping force can be applied to hold the object without damaging it.


2021 ◽  
pp. 599-606
Author(s):  
Xuan Zhao ◽  
Bowen Wang ◽  
Shaoyang Gao ◽  
Shasha Liu ◽  
Yuanye Zhang ◽  
...  

2011 ◽  
Vol 25 (2) ◽  
pp. 129-134
Author(s):  
Guanghui Cao ◽  
Ying Huang ◽  
Wu Zhang ◽  
Caixia Liu

2013 ◽  
Vol 27 (1) ◽  
pp. 57-63
Author(s):  
Ying Huang ◽  
Wei Miao ◽  
Leiming Li ◽  
Wenting Cai ◽  
Qinghua Yang ◽  
...  
Keyword(s):  

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 966 ◽  
Author(s):  
Marco Costanzo ◽  
Giuseppe De Maria ◽  
Ciro Natale ◽  
Salvatore Pirozzi

This paper presents the design and calibration of a new force/tactile sensor for robotic applications. The sensor is suitably designed to provide the robotic grasping device with a sensory system mimicking the human sense of touch, namely, a device sensitive to contact forces, object slip and object geometry. This type of perception information is of paramount importance not only in dexterous manipulation but even in simple grasping tasks, especially when objects are fragile, such that only a minimum amount of grasping force can be applied to hold the object without damaging it. Moreover, sensing only forces and not moments can be very limiting to securely grasp an object when it is grasped far from its center of gravity. Therefore, the perception of torsional moments is a key requirement of the designed sensor. Furthermore, the sensor is also the mechanical interface between the gripper and the manipulated object, therefore its design should consider also the requirements for a correct holding of the object. The most relevant of such requirements is the necessity to hold a torsional moment, therefore a soft distributed contact is necessary. The presence of a soft contact poses a number of challenges in the calibration of the sensor, and that is another contribution of this work. Experimental validation is provided in real grasping tasks with two sensors mounted on an industrial gripper.


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