Biomimetic Tactile Sensor Array

By Nicholas Wettels, V. Santos, Roland S. Johansson, Gerald E. Loeb. Adv. Robotics, 2008

350 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience

View Paper: https://www.semanticscholar.org/paper/ee9f13e0927c1085342ee9d17c63a1b6394fb26f

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In Biomedical Engineering

In Cellular and Molecular Neuroscience

Ravinder S. Dahiya

Citations in the corpus

Tactile Sensing—From Humans to Humanoids (2010, background): “Some of these design guidelines have been explored and tactile sensors exist with variable stiffness elastic layers [139], fingerprint like structures [140], and the mechanical properties and distributed touch receptors like human skin [141].”
BiGS: BioTac Grasp Stability Dataset (2016, methodology): “The human-inspired biomimmetic tactile sensor (BioTac) [2] is equipped with a 19-electrode array and a hydroacoustic sensor surrounded by silicon skin inflated with incompressible and conductive liquid.”
GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force (2017, background): “Two good examples are the Optoforce sensor (OptoForce Kft., Budapest, Hungary) [13] and the BioTac sensor (SynTouch Inc., Montrose, CA, USA) [24]: the researchers founded startups to improve the product design and produce the sensor commercially, so that other robotic labs have direct access to the…”
A review of tactile sensing technologies with applications in biomedical engineering (2012, methodology): “For appliations where flexibility or large area coverage is a requirement, uid based tactile sensors are commonly used, combining various ntrinsic methods to achieve the task [38–40].”
Regrasping Using Tactile Perception and Supervised Policy Learning (2017, methodology): “In our experiments, we use a Barrett arm and hand that is equipped with three biomimetic tactile sensors (BioTacs) (Wettels et al. 2008).”
Bayesian Exploration for Intelligent Identification of Textures (2012, background): “Contact forces distort the elastic skin and underlying conductive liquid, changing impedances of electrodes distributed over the surface of the rigid core (Wettels et al., 2008; Wettels and Loeb, 2011).”
Design and Fabrication of Soft Artificial Skin Using Embedded Microchannels and Liquid Conductors (2012, background): “skin such as nanowire active-matrix circuit integrated artificial skins [15], conductive polymer-based sensors [16], solid-state organic FET circuits [17], and conductive fluid embedded silicone robot fingers [18].”
Soft robot perception using embedded soft sensors and recurrent neural networks (2019, neutral): “Embedded sensing is the most viable solution for strain, stress, contact, and roughness estimation ( 7 , 8 , 9 , 10 , 11 , 12 , 13 ).”
Learning of grasp adaptation through experience and tactile sensing (2014, background): “The transition between position controller and force controller can result in various different discrete contact states, each of which usually needs to be treated separately [14], [15].”