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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