[robotics-worldwide] [meetings] First International Workshop on Robotic Medical Devices and Semantic Systems (April 10-12, 2017 - Taichung, Taiwan)

Daniela D'Auria dauria.daniela at gmail.com
Tue Dec 27 09:07:17 PST 2016

Dear Colleagues,

We are pleased to announce the Call for Papers for the 1st  International
Workshop on Robotic Medical Devices and Semantic Systems*. *Please see all
the details below.




First IEEE International Workshop on Robotic Medical Devices and Semantic

April 10-12, 2017

The Splendor Hotel Taichung

Taichung, Taiwan



Medical robotics includes a number of devices used for surgery, medical
training, rehabilitation therapy, prosthetics, and assisting people with
disabilities. Nowadays, robotic devices are used to replace missing limbs,
perform delicate surgical procedures, deliver neurorehabilitation therapy
to stroke patients, teach children with learning disabilities, and perform
a growing number of other health related tasks. The most extensive use of
robotic technology for medical applications is in rehabilitation robotics,
which traditionally includes assistive robots, prosthetics, orthotics, and
therapeutic robots. Moreover, in the last decade, surgery and robotics have
reached a maturity that has allowed them to be safely assimilated to create
a new kind of operating room. This new environment includes robots for
local surgery and telesurgery, audiovisual telecommunication for
telemedicine and teleconsultation, robotic systems with integrated imaging
for computer-enhanced surgery, and virtual reality (VR) simulators enhanced
with haptic feedback, for surgical training.

However, usually concrete models and specific knowledge are not available
for objects or events in the medical robot's work environment. Thus, a
medical robot system has to rely on more generalized modes of inference to
infer the semantic content of the context. Adequate models and knowledge
may then describe broad categories of objects or events, acquired through
training on sets of numerous examples. Knowledge may also be inferred from
similarities and correspondences discovered between novel and known cases.
As a matter of facts, there is a growing tendency to introduce high-level
semantic knowledge into robotic systems.

When a medical robot encounters unknown objects in its environment and
semantic models are available, the perceptual system can derive knowledge
from the relationships established with known objects of a similar
typology. Moreover, through semantic modeling of low level features within
a scenario, robots can generate representation of such features in a level
of abstraction where logical reasoning methods could be applied for
decision making. Furthermore, at such semantic level more than one
modalities can be merged to complement each other and produce logical

As a result, different cognitive systems have become quite popular among
the research community, specially those using deep learning techniques over
images and language sources, showing promising results.Thus, this workshop
provides a uniquely focused forum for the discussion of the intersection of
different research areas, such as audio, speech, language, images and some
others into unique medical robotics systems that can auto-improve by
learning and can be exploited through different reasoning techniques. This
workshop will bring together the foremost researchers from different fields
of robotics sharing and unifying techniques that can be applied to
different medical areas where they are currently used, such as surgery,
rehabilitation, simulation, and so on. Eventually, we encourage papers
reporting novel contributions related to the creation, representation, and
use of semantic knowledge in medical robots which present techniques that
have been experimentally validated on real medical robotic systems.

Topics of interest include, but are not limited to:

·      Semantic medical robot vision

·      Semantic scene interpretation

·      Cooperative human-robot interaction and task solving

·      Object modeling

·      Deep learning for perception, action, and control in medical robotic

·      Use of semantic information in mapping or knowledge acquisition

·      Multimodal knowledge representation in robotic medical systems

·      Semantic modeling of multimodal feature space

·      Multimodal fusion at semantic level

·      Heterogeneous cognitive medical robotics systems

·      Deep semantic processing of heterogeneous information

·      Medical robot navigation framework

·      Semantic techniques applied to medical robots


Manuscripts must be written (6 pages maximum, all included) in English and
follow the instructions in the Manuscript Formatting and Templates page
given in *IRC 2017 website* in the "*Submission*" section.

Papers must be original and not be submitted to or accepted by any other
conference or journal.

Only electronic submission will be accepted. Technical paper authors MUST
submit their manuscripts through *EasyChair*.

Manuscripts may only be submitted in PDF format.

Each paper will be peer-reviewed. Papers accepted by the workshop will be
published in the conference proceedings published by IEEE Computer Society
Press. Outstanding papers will be invited to submit an extended version for
possible publication in prestigious journals.

For any question regarding the workshop please contact the organizers at
daniela.dauria4 at unina.it. <fabio.persia at unibz.it>


*Submission Deadline*: January 7, 2017.

*Notification of Acceptance*: January 31, 2017.


Organizing Committee

Daniela D'Auria, University of Naples Federico II, Italy.

Fabio Persia, Free University of Bozen-Bolzano, Italy.

Hooman Samani, National Taipei University, Taiwan.

Technical Program Committee

Homa Alemzadeh, University of Virginia, USA.

Darius Burschka, Technische Universitat Munchen, Germany.

Chi Chiung Grace Chen, Johns Hopkins Bayview Medical Center, Baltimore, USA.

Leo Joskowicz, The Hebrew University of Jerusalem, Israel.

Bruno Siciliano, University of Naples Federico II, Italy.


Best Regards.

Dr. Daniela D`Auria

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