Design of a flexible tactile sensor for classification of rigid and deformable objects

Alin Drimus, Gert Kootstra, Arne Bilberg, Danica Kragic

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

For both humans and robots, tactile sensing is important for interaction with the environment: it is the core sensing used for exploration and manipulation of objects. In this paper, we present a novel tactile-array sensor based on flexible piezoresistive rubber.We describe the design of the sensor and data
acquisition system.We evaluate the sensitivity and robustness of the sensor, and show that it is consistent over time with little relaxation. Furthermore, the sensor has the benefit of being flexible, having a high resolution, it is easy to mount, and simple to manufacture.
We demonstrate the use of the sensor in an active object-classification system. A robotic gripper with two sensors mounted on its fingers performs a palpation procedure on a set of objects. By squeezing an object, the robot actively explores the material properties, and the system acquires tactile information
corresponding to the resulting pressure. Based on a k-nearest neighbor classifier and using dynamic time warping to calculate the distance between different time series, the system is able to successfully classify objects. Our sensor demonstrates similar classification performance to the Weiss Robotics tactile sensor, while having additional benefits.
OriginalsprogEngelsk
TidsskriftRobotics and Autonomous Systems
Vol/bind62
Udgave nummer1
Sider (fra-til)3-15
ISSN0921-8890
DOI
StatusUdgivet - 2014

Fingeraftryk

Tactile Sensor
Deformable Objects
Sensor
Sensors
Robotics
Sensing
Robot
Object Classification
Dynamic Time Warping
Robots
Sensor Array
Squeezing
Rubber
Grippers
Material Properties
Sensor arrays
Demonstrate
Design
Manipulation
Nearest Neighbor

Citer dette

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abstract = "For both humans and robots, tactile sensing is important for interaction with the environment: it is the core sensing used for exploration and manipulation of objects. In this paper, we present a novel tactile-array sensor based on flexible piezoresistive rubber.We describe the design of the sensor and dataacquisition system.We evaluate the sensitivity and robustness of the sensor, and show that it is consistent over time with little relaxation. Furthermore, the sensor has the benefit of being flexible, having a high resolution, it is easy to mount, and simple to manufacture.We demonstrate the use of the sensor in an active object-classification system. A robotic gripper with two sensors mounted on its fingers performs a palpation procedure on a set of objects. By squeezing an object, the robot actively explores the material properties, and the system acquires tactile informationcorresponding to the resulting pressure. Based on a k-nearest neighbor classifier and using dynamic time warping to calculate the distance between different time series, the system is able to successfully classify objects. Our sensor demonstrates similar classification performance to the Weiss Robotics tactile sensor, while having additional benefits.",
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Design of a flexible tactile sensor for classification of rigid and deformable objects. / Drimus, Alin; Kootstra, Gert; Bilberg, Arne; Kragic, Danica.

I: Robotics and Autonomous Systems, Bind 62, Nr. 1, 2014, s. 3-15.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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AB - For both humans and robots, tactile sensing is important for interaction with the environment: it is the core sensing used for exploration and manipulation of objects. In this paper, we present a novel tactile-array sensor based on flexible piezoresistive rubber.We describe the design of the sensor and dataacquisition system.We evaluate the sensitivity and robustness of the sensor, and show that it is consistent over time with little relaxation. Furthermore, the sensor has the benefit of being flexible, having a high resolution, it is easy to mount, and simple to manufacture.We demonstrate the use of the sensor in an active object-classification system. A robotic gripper with two sensors mounted on its fingers performs a palpation procedure on a set of objects. By squeezing an object, the robot actively explores the material properties, and the system acquires tactile informationcorresponding to the resulting pressure. Based on a k-nearest neighbor classifier and using dynamic time warping to calculate the distance between different time series, the system is able to successfully classify objects. Our sensor demonstrates similar classification performance to the Weiss Robotics tactile sensor, while having additional benefits.

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