Biomimetic Tactile Sensor Array

نویسندگان

  • Nicholas Wettels
  • Veronica J. Santos
  • Roland S. Johansson
  • Gerald E. Loeb
چکیده

The performance of robotic and prosthetic hands in unstructured environments is severely limited by their having little or no tactile information compared to the rich tactile feedback of the human hand. We are developing a novel, robust tactile sensor array that mimics the mechanical properties and distributed touch receptors of the human fingertip. It consists of a rigid core surrounded by a weakly conductive fluid contained within an elastomeric skin. The sensor uses the deformable properties of the finger pad as part of the transduction process. Multiple electrodes are mounted on the surface of the rigid core and connected to impedance-measuring circuitry safely embedded within the core. External forces deform the fluid path around the electrodes, resulting in a distributed pattern of impedance changes containing information about those forces and the objects that applied them. Here we describe means to optimize the dynamic range of individual electrode sensors by texturing the inner surface of the silicone skin. Forces ranging from 0.1 to 30 N produced impedances ranging from 5 to 1000 k . Spatial resolution (below 2 mm) and frequency response (above 50 Hz) appeared to be limited only by the viscoelastic properties of the silicone elastomeric skin.  Koninklijke Brill NV, Leiden and The Robotics Society of Japan, 2008

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Development of a Biomimetic MEMS based Capacitive Tactile Sensor

This paper presents the development of a low-cost MEMS based biomimetic tactile device intended to be incorporated as the core element in a biomimetic fingerpad. The developed silicon based sensing devices consist of an array of capacitive sensors with optimized design to measure force ranges encountered during tactile exploration of surfaces with different textures. As with the biological fing...

متن کامل

Slip Detection and Classification for Grip Control using Multiple Sensory Modalities on a Biomimetic Tactile Sensor

Achieving human-level performance in dexterous grasping tasks will likely require richer tactile sensing than is currently available [1]. Recently, biomimetic tactile sensors, designed to provide more humanlike capabilities, have been developed. These new sensors provide an opportunity to significantly improve the robustness of robotic manipulation. In order to take full advantage of the inform...

متن کامل

Force Estimation and Slip Detection for Grip Control using a Biomimetic Tactile Sensor

We introduce and evaluate contact-based techniques to estimate tactile properties and detect manipulation events using a biomimetic tactile sensor. In particular, we estimate finger forces, and detect and classify slip events. In addition, we present a grip force controller that uses the estimation results to gently pick up objects of various weights and texture. The estimation techniques and t...

متن کامل

Learning tactile skills through curious exploration

We present curiosity-driven, autonomous acquisition of tactile exploratory skills on a biomimetic robot finger equipped with an array of microelectromechanical touch sensors. Instead of building tailored algorithms for solving a specific tactile task, we employ a more general curiosity-driven reinforcement learning approach that autonomously learns a set of motor skills in absence of an explici...

متن کامل

Tactile hyperacuity for robotics

Hyperacuity is a general aspect of animal perception that exploits spatially overlapping sensory receptive fields to perceive at finer acuity than the sensor resolution. Following a recent demonstration of hyperacuity in robot touch, we present a detailed and systematic analysis of localization acuity for both a biomimetic fingertip and a region of tactile skin. We identify three key factors fo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Advanced Robotics

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2008