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[交流] CFP: Special issue on Tactile perception for manipulation in IJHR

The advertisment is following, and the keywords include:

tactile sensor, humanoids, grasp, manipulation,machine learning.

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International Journal of Humanoid Robotics

--Special Issue Call for Papers--

Tactile perception for manipulation: new progress and challenges

CFP in IJHR webpage

https://www.worldscientific.com/page/ijhr/callforpaper01

Download Flyer:

https://ni.www.techfak.uni-biele ... ileManipulation.pdf

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Motivation and Objectives

Tactile sensing technology has achieved tremendous progress in recent decades. Nowadays, advanced tactile sensors are available

for covering large regions of the robot body (e.g. torso, arms, leg etc) and enabling manipulation with the whole-body

for robot hands, to enhance dexterous manipulation capabilities

in wearable devices, to facilitate neuro-scientific and physiological studies to deepen our understanding of sensori-motor control processes

However, the dexterous manipulation skills of robots are still lacking as compared to those of humans. Possible reasons are:

Available sensors are limited with low temporal and spatial resolution compared to human's mechanoreceptors

Tactile data processing algorithms need to be improved, via machine learning, to automatically extract significant features

A generic and robust manipulation control framework incorporating strong sensori-motor feedback loops is still missing

Within this special issue, we will bring together experts from the different domains, including tactile hardware development, robot manipulation and machine learning, to discuss recent progress and remaining challenges in tactile-based robotic manipulation, and to draw a whole-scene picture of tactile perception in manipulation with harmonic mixture of multidisciplinary research. All the submissions for this Special Issue will undergo the regular IJHR review process.

List of Topics

Advanced anthropomorphic tactile sensor development and calibration

Tactile display devices in teleoperation such as surgical robots

Whole-body tactile-based manipulation and safety

Deep learning and its applications to tactile sensing and control

Tactile-driven exploration strategies

Tactile-driven robot body / tool self-calibration(robot body schema)

Tactile servoing and manipulation

Tactile image and tactile object perception

Tactile-based unknown object grasp and in-hand manipulations

Using tactile for unknown object reconstruction, classification and slip detection

Important Dates

Submission deadline: 1st, March, 2017

Notification: 1st, May, 2017

Final version due: 1st, June, 2017

To appear in the issue of: Oct, 2017 (tentative)

For further information, please contact one of the following guest editors in this order:

Qiang Li

CITEC/Bielefeld University,Germany

qli@techfak.uni-bielefeld.de

Lorenzo Natale

iCub Facility/Istituto Italiano di Tecnologia(IIT),Italy

Lorenzo.Natale@iit.it

Andrea Cherubini

LIRMM/Université de Montpellier, France

andrea.cherubini@lirmm.fr

Anh-Van Ho

Ryukoku Universtiy,Japan

a15066@mail.ryukoku.ac.jp

Robert Haschke

CITEC/Bielefeld University,Germany

rhaschke@techfak.uni-bielefeld.de

Helge Ritter

CITEC/Bielefeld University,Germany

helge@techfak.uni-bielefeld.de

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