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Soft Sensor Network for Environmental Monitoring

2016
This paper shows the application of a soft sensor network for the detection of meteorological events. A set of hard (real) sensor are placed in a territory, where they measure heterogeneous quantities. Starting from their measurements, a soft sensor network provides useful information coming from the data.
Maniscalco U, Pilato G, Vella F
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3D printed resistive soft sensors

2018 IEEE International Conference on Soft Robotics (RoboSoft), 2018
Sensor design for soft robots is a challenging problem because of the wide range of design parameters (e.g. geometry, material, actuation type, etc.) critical to their function. While conventional rigid sensors are effective for soft robotics in specific situations, sensors that are directly integrated into the bodies of soft robots could help improve ...
Benjamin Shih   +4 more
openaire   +1 more source

Contactless deflection sensor for soft robots

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
In the emerging field of soft robotics, there is an interest in developing new kinds of sensors whose characteristics do not affect the intrinsic compliance of soft robot components. Additionally, non-invasive shape and deflection sensors may provoke improved solutions to assist in the control of mechanical parts in these robots. Herein, we introduce a
Dobrzynski, Michal   +2 more
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Soft sensored grippers in assembly process

Proceedings 1992 IEEE International Conference on Robotics and Automation, 2003
The authors discuss the problem of assembly task realization using soft sensored fingers. Because the object grasped with soft fingers can move with respect to the gripper if an external force is applied, a change in the pressure corresponds to a change in the object position.
Branislav Borovac   +2 more
openaire   +1 more source

Soft sensors for on-line biomass measurements

Bioprocess and Biosystems Engineering, 2004
One of the difficulties encountered in control and optimisation of bioprocesses is the lack of reliable on-line sensors for their key state variables. This paper investigates the suitability of using on-line recurrent neural networks to predict biomass concentrations. Input variables of the proposed recurrent neural network are feed rate, liquid volume
Lei Zhi, Chen   +3 more
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Soft sensors that can feel it all

Science Robotics, 2020
Soft materials and machine learning combine to enable a sensor that distinguishes bending, stretching, and compression.
openaire   +2 more sources

Soft tactile sensor arrays for micromanipulation

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Micromanipulation methods used for complicated tasks such as microrobot assembly and microvascular surgery often lack the force reflection and contact localization capability necessary to achieve robust grasps of micro-scale objects without applying excessive forces.
Frank L. Hammond   +4 more
openaire   +1 more source

Embedded Soft Processor for Sensor Networks

2009 International Conference on Network-Based Information Systems, 2009
The introduction of smarter and smaller application specific processors has opened doors to the world of intelligent sensor networks. This has led sensors to have their own onboard processing and communication units. These technological advancements have transcended sensors from performing trivial sensing functions to performing more complex operations
Ali Elkateeb, Aiyappa Mandepanda
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Soft compressive sensor design and analysis

2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2015
In this paper, a methodology of designing an absolutely soft sensor based on Eco-Flex to detect compression stimuli is proposed. The fundamental structure of this soft sensor is a soft membrane sandwiched by two stretchable carbon grease electrodes, therefore the sensor as a capacitor can convert mechanical deformation to electrical signal.
Hongying Zhang 0003   +2 more
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