Results 231 to 240 of about 57,402 (292)
Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim +3 more
wiley +1 more source
Enhancing Electrical Impedance Based Deformation Sensing with Dielectric Current Guide
This work introduces a dielectric‐based field manipulation strategy for electrical impedance tomography in soft robotics. By using silicone as a passive electric field guide, improved deformation sensing accuracy and reduced interference are achieved without embedding conductive components.
Arsen Abdulali +3 more
wiley +1 more source
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley +1 more source
Organic Thin‐Film Transistors for Neuromorphic Computing
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy +2 more
wiley +1 more source
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IFAC Proceedings Volumes, 1988
Abstract Next generation robot grippers should be equipped with tactile sensors providing a sense of touch similar to the human hand by measuring the local distribution of forces on the surface. In this Paper two realized sensor types are presented. The first type of tactile sensors are capacitive sensors.
Seekircher, Juergen, Hoffmann, Bernd
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Abstract Next generation robot grippers should be equipped with tactile sensors providing a sense of touch similar to the human hand by measuring the local distribution of forces on the surface. In this Paper two realized sensor types are presented. The first type of tactile sensors are capacitive sensors.
Seekircher, Juergen, Hoffmann, Bernd
openaire +1 more source
2017 New Generation of CAS (NGCAS), 2017
In this paper, we present a novel event-driven Dynamic Tactile Sensor (DTS) for artificial devices. The sensor is based on the POSFET (Piezoelectric-Oxide-Semiconductor-Field-Effect-Transistor) as the tactile sensing device with the change detector (CD) circuit of the DVS (Dynamic Vision Sensor) [1] as a readout circuit.
Khalil A. A. +3 more
openaire +1 more source
In this paper, we present a novel event-driven Dynamic Tactile Sensor (DTS) for artificial devices. The sensor is based on the POSFET (Piezoelectric-Oxide-Semiconductor-Field-Effect-Transistor) as the tactile sensing device with the change detector (CD) circuit of the DVS (Dynamic Vision Sensor) [1] as a readout circuit.
Khalil A. A. +3 more
openaire +1 more source
FERROPIEZOELECTRIC TACTILE SENSOR ARRAY
IFAC Proceedings Volumes, 1994Abstract A ferroelectric array sensor of a functional type for primary processing of tactile information, representing a homogeneous field of sensors in an active PZT ceramic substrate, has been developed. The results, obtained by physical-mathematical simulation of certain array sensor element, which is a non resonance piezoelectrical transformer ...
V. Todorova, S. Milchev
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ASME 2007 2nd Frontiers in Biomedical Devices, 2007
The performance of prosthetic hands and robotic manipulators is severely limited by their having little or no tactile information compared to the human hand. Technologies such as MEMS, microfluidics, and nanoparticles have been used to produce arrays of force sensors, but these are generally not robust enough to mount on curved, deformable finger pads ...
Nicholas Wettels +2 more
openaire +1 more source
The performance of prosthetic hands and robotic manipulators is severely limited by their having little or no tactile information compared to the human hand. Technologies such as MEMS, microfluidics, and nanoparticles have been used to produce arrays of force sensors, but these are generally not robust enough to mount on curved, deformable finger pads ...
Nicholas Wettels +2 more
openaire +1 more source

