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<div class="moz-text-html" lang="x-unicode">apologies for multiple
copies<br>
<br>
Last Call for papers<br>
<br>
<font size="+1"><b>Special session: Safe Human-Robot Cooperation
and Collaboration in manufacturing environments</b></font><br>
<br>
31th IEEE International Conference on Robot and Human Interactive
Communication (IEEE RO-MAN 2022)<br>
29/8-2/9 2022 Naples, Italy<br>
<a class="moz-txt-link-freetext"
href="http://www.smile.unina.it/ro-man2022/"
moz-do-not-send="true">http://www.smile.unina.it/ro-man2022/</a>
<br>
<br>
<b>Submission deadline NEW: <font color="#ff2600">25th of March
2022</font></b><b><br>
</b><b>Special session code: <font color="#ff2600">n17r1</font></b><br>
<br>
<br>
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Motivation and goals<br>
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The Fourth Industrial Revolution (or most commonly termed
‘Industry 4.0’) comprises the ongoing insurrectionary transition
of conventional manufacturing/industrial pipelines towards
significantly more automatized and data-driven ones, making
extensive use of emerging and advanced technologies, like the
Internet of things (IoT), Big Data analytics, smart sensors,
advanced human-machine interfaces, etc. Inevitably, robots
constitute an integral ingredient of this process, since they can
boost: a) the increase in the levels of automation, b) the tighter
connection of the physical and the digital world, c) the shifting
from a central control system to a smart decentralized one, d) the
implementation of closed-loop data models and control systems, and
e) the personalization/customization of products and processes.
This in turn raises the need for more efficient and effective
human-robot cooperative (humans and robots work alternately on
different tasks within a process in the same workspace) and
collaborative (humans and robots interact in a shared workspace,
e.g. working on the same workpiece) schemes. Indeed, humans and
robots already work together in production nowadays (with distinct
roles and usually in an isolated way though), where robots are
reliably shown to support and relieve human operators, to enable
versatile automation steps and to increase productivity. The
purpose of this special session is to explore how cooperation and
collaboration among humans and robots can work in a safe and
acceptable way fostering their integration in real contexts. The
special session will focus on any application area with a specific
attention to industrial scenarios, one of the most promising
application areas for collaborative robots (or cobots). The
contribution should present solution to robustly address current
challenges in manufacturing (e.g. to handle fine-grained,
customizable, flexible, sophisticated and sensitive tasks, to
combine human capabilities with the efficiency and precision of
machines, etc.), to realize safe human-robot interaction,
collaboration and communication capabilities.<br>
<br>
This special session focuses on critical challenges for cobots
that remain to be addressed in order to enable their effective and
sustainable deployment in real-world operational settings,
including, among others, the following main aspects: a) Safe
interaction, including safety standards and collaborative
operating modes, respecting and predicting the human co-worker’s
space, b) Intuitive interfaces, including programming approaches,
input modes and reality enhancement, and c) Design methods,
including task planning and allocation, control laws and sensors.
Addressing the latter constitutes a prerequisite for reaching
successful Human-Robot Collaboration (HRC) schemes, which will in
turn provide a promising way to achieve increases in productivity
while decreasing production costs, based on the combination of the
human ability to judge, react and plan with the repeatability and
strength of a robot.<br>
<br>
<br>
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Expected contributions<br>
-------------------<br>
Papers to be presented in the special session cover topics
related, but not limited, to: <br>
- Large-scale multi-agent human-robot collaborative learning<br>
- Learning from (human) demonstration<br>
- Advanced AI technologies in HRC<br>
- Deployment of robotic systems in manufacturing environments<br>
- Safety issues in HRC<br>
- Collaborative task assignment and planning in HRC<br>
- New functions for enriching Robotics Standards<br>
- Human detection, tracking and proximity sensing in HRC<br>
- Human-aware Task and Motion planning in realistic environments<br>
- Human activity modeling and prediction in HRC<br>
- Communication and coordination between human and robot<br>
- Tactile sensing and physical human robot interaction<br>
- Multi-modal interaction/interfaces in HRC<br>
- Failure detection and recovery in HRC control systems<br>
- Human factors analysis in HRC<br>
- Trust in HRC schemes<br>
- Evaluation methods for HRC workplaces and process (productivity,
flexibility etc.)<br>
- Cognitive architectures for human-robot collaboration and
learning<br>
- Ergonomics of HRC (Physical, Intensity of signals, alarms,
visual field etc.)<br>
- Semantic mapping in HRC environments<br>
- Benchmarking and evaluating performance for HRC<br>
<br>
<br>
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Paper format and submission guidelines<br>
----------------------------------<br>
<a class="moz-txt-link-freetext"
href="https://ro-man2021.org/full-papers/"
moz-do-not-send="true">http://www.smile.unina.it/ro-man2022/call-for-papers/</a><br>
<br>
<br>
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Important dates<br>
-------------<br>
Paper submission deadline (extended): March 25, 2022<br>
Notification of Acceptance: May 30, 2022<br>
Camera-ready Submission: June 15, 2022<br>
<br>
<br>
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Organizers<br>
---------<br>
Dr.-Ing. Mohamad Bdiwi, Fraunhofer Institute for machine tools and
forming technology, Chemnitz, Germany<br>
Mr. Marco Faroni, Institute of Intelligent Industrial Technologies
and Systems for Advanced Manufacturing (STIIMA-CNR), Milan, Italy<br>
Dr. AndreA Orlandini, Institute of Cognitive Science and
Technology (CNR-ISTC), Rome, Italy<br>
Dr. Georgios Th. Papadopoulos, Institute of Computer Science,
Foundation for Research and Technology - Hellas (ICS-FORTH),
Greece<br>
Dr. Dirk Wollherr, Technical University of Munich, Germany<br>
-- </div>
<pre class="moz-signature" cols="72">---------------------------------------------------------------------
AndreA Orlandini PhD
National Research Council of Italy
Institute for Cognitive Science and Technology
Phone: +39-06-44595-223 E-mail: <a class="moz-txt-link-abbreviated moz-txt-link-freetext" href="mailto:andrea.orlandini@istc.cnr.it" moz-do-not-send="true">andrea.orlandini@istc.cnr.it</a>
Fax: +39-06-44595-243 Url: <a class="moz-txt-link-freetext" href="http://www.istc.cnr.it/group/pst" moz-do-not-send="true">http://www.istc.cnr.it/group/pst</a>
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Me, the one and only person that never leaves me alone!
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