Andrei Shkel
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IEEE Sensors Letters

IEEE Sensors Letters is an electronic journal dedicated to publishing short manuscripts, quickly, on the latest and most significant developments in the field of sensors.

Latest Articles

Soft Three-Axis Capacitive Force Sensor for Robotic E-Skin on Curved Surfaces

Soft Three-Axis Capacitive Force Sensor for Robotic E-Skin on Curved Surfaces

Many soft sensors have emerged to meet the needs of modern technologies, such as soft robotics, where high conformability and sensor adaptability are required. Little attention has been paid to how these soft sensors perform when used in a curved geometry, such as on the forearm or finger of the robot arm. We explore the effect of indentation by a flat object at radii of curvature as small as 10-mm—corresponding to a wide finger. The three-axis capacitive force sensor is composed of Ecoflex 00-30 pillars forming the dielectric and patterned carbon black/Ecoflex electrodes, mounted on a flexible printed circuit board for bottom connections. As the sensor radius of curvature decreases, the sensor increases in perceived sensitivity to applied force, with normal force sensitivity increasing from 0.27% change in capacitance per Newton (1.4%kPa −1 ) at 100-mm radii to 0.47%N −1 (2.4%kPa −1 ) at 10-mm radii, a 58% increase. Shear sensitivity in the noncurved direction increases by 155%, whereas in the circumferential direction, the sensitivity increases by 366%. This increase in sensitivity is due to the increase in local pressure due to decreasing surface area contact, especially in the circumferential direction when the sensor becomes greater than 25% of the radius of curvature. A similar trend is expected for grasping of rounded objects, where higher curvature will lead to a concentration of stress, with sharp edges being the extreme case. The sensor is applied to a robotic hand to assess normal and shear forces when gripping and lifting objects.

Popular Articles

Soft Tactile Sensors Having Two Channels With Different Slopes for Contact Position and Pressure Estimation

Tactile information is usually important for object manipulation and grasping. Typically, soft hands and tactile sensors can deform passively and contribute to stable grasping. In particular, soft tactile sensors that use conductive materials as sensor elements can acquire contact information, including the contact position and pressure; however, this tactile information cannot be classified. This study attempts to classify tactile information based on conductive material arrangements. To this end, we develop a soft tactile sensor composed of a silicone rubber body with two channels filled with a conductive material. The two channels are arranged so that they are parallel from the top view and angled with different slopes from the side view. Our experimental data reveal that the contact position parallel to the channels can be determined based on the resistance changes in the two channels, whereas the pressure can be obtained through a model based on the estimated value of the contact position.

Smart Glove With Fully Integrated Textile Sensors And Wireless Sensor Frontend For The Tactile Internet

In this letter, we present a smart glove for Tactile Internet applications. The individual finger motions are measured via resistive strain sensors. The strain sensors are directly integrated with the textile glove and are produced in an automated process. The sensor glove is integrated with sensor conditioning, controller, wireless frontend, and battery. We investigate the measured sensor data for a variety of gestures, demonstrating the good quality of the data allowing for easy and low-energy gesture recognition.

Sustainable Printed Chitosan-Based Humidity Sensor On Flexible Biocompatible Polymer Substrate

Humidity is one of the most relevant physical parameters to sense and control for a wide range of commercial and industrial applications. Consequently, there is continuing demand for the development of innovative and sustainable humidity sensor solutions. Here, the development and characterization of fully additively manufactured, highly sensitive, resistive Chitosan-based humidity sensors on flexible thermoplastic polyurethane (TPU) foil, as well as on a glass carrier substrate are presented. The sensors unite aspects of sustainability and high performance in a broad humidity range (20–90%rH). The humidity response follows an exponential curve progression with relative changes in the resistance per %rH of 6.9% and 5.7% for the glass carrier sensor and the TPU sensor, respectively. In absolute values, this means that the Chitosan-based sensors are particularly sensitive in the low humidity range with a vast dynamic range (ten times larger compared to commonly used capacitive humidity sensors). The flexible sensor on the TPU substrate shows great stability even after repeated bending. In addition, the combination of flexible and biocompatible materials (TPU and Chitosan) with additive manufacturing technologies makes the sensor particularly sustainable while having great potential for a plethora of biomedical applications.

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Editorial Board

Andrei Shkel
University of California, Irvine, USA
Deepak Uttamchandani
Associate Editor-in-Chief
Strathclyde University, Glasgow, UK
Francisco Falcone
Associate Editor-in-Chief
Univ. Publica de Navarra, Spain
Thilo Sauter
Associate Editor-in-Chief
TU Wien and Danube University, Krems, Austria
Srinivas Tadigadapa
Founding Editor-in-Chief (2017-2022)
Northeastern University, USA
David Elata
Sensor Phenomena and Modeling Topical Editor
Technion, Haifa, Israel
Michael Kraft
Sensor/Electronic Interfaces Topical Editor
University of Liège, Belgium
Doruk Senka
Associate Editor
Reality Labs, Meta, USA
Chia-Chan Chang
Associate Editor
National Chung-Cheng University, Taiwan
Karthik Shankar
Associate Editor
University of Alberta, Edmonton, Canada
Sheng-Shian Li
Associate Editor
National Tsing Hua University, Taiwan
Saakshi Dhanekar
Associate Editor
Indian Institute of Technology, Jodhpur, India
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