Call for papers (apologies for multiple posting)
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Workshop Title
Towards the factory of the future: advancements in planning and control
of industrial robots
Organized and Co-chaired by
Marco Faroni, National Research Council of Italy, CNR-STIIMA
Alessandro Umbrico, National Research Council of Italy, CNR-ISTC
Manuel Beschi, University of Brescia
https://2021.ieee-etfa.org/solicited-workshops/ws1-towards-the-factory-of-the-future-advancements-in-planning-and-control-of-industrial-robots/
The workshop will be held during the 26th International Conference on
Emerging Technologies and Factory Automation (ETFA 2021 -
https://2021.ieee-etfa.org/)
Important Dates
Submission deadline: June 11th
Acceptance notification: July 7th
Deadline for final manuscripts: July 14th
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Aims and Objectives
***********
Industrial robots play a key role in industrial automation. Robotic arms
populate shop-floors: they are used for pick-and-place, assembly,
inspection, and many other tasks, to increase the throughput of
productive processes and alleviate fatigue and risks of human workers. A
huge research effort has been put into the reasoning, planning, and
control of robotic manipulators. Nonetheless, industrial implementations
often do not exploit at full the great advancements made in these
fields. This workshop aims to discuss how recent developments in the
planning and control of robot manipulators, on the one hand, and the
synergetic integration with results from Artificial Intelligence, on the
other, can advance the state of the art and be applied to real-world
manufacturing processes. Among the many challenges in the field, the
workshop will focus on the following trends that emerged in recent years:
*
Human-robot collaboration: collaborative robots are expected to play
a key role in the factories of the future. The collaboration between
humans and robots is supposed to combine the dexterity and reasoning
ability of humans with the precision and continuity of robots.
Current industrial solutions often lack smoothness and collaboration
results to be discontinuous. This occurs at different
decision-making levels. For example, implementations of safety rules
according to safety standards (e.g., ISO-TS 15066) stop the robot as
soon as human workers enter the robot workspace. Moreover, robot
trajectories are often pre-computed and do not adapt to the system
changes. Finally, ordering, scheduling, and assignment of tasks do
not model human behaviors and preferences, resulting in poor
dependability and jeopardizing the overall collaboration experience.
Recent advances in task and motion planning addressed this issue in
many several ways. Innovative methods have been developed to improve
safety, ergonomics, and the efficiency of the process. Nonetheless,
a well-established common paradigm is still to come.
*
Cognitive manufacturing: a central aspect concerning the integration
of AI and Robotics in modern manufacturing scenarios is the
enhancement of perception and reasoning capabilities of robotic
solutions. AI technologies can indeed help to endow robot
controllers with the necessary cognitive capabilities to
“understand” the state of human operators and the environment as
well as contextualize robot behaviors accordingly. A collaborative
robot would, for example, dynamically adapt its behaviors to known
skills and monitored physiological state of human workers (e.g.,
ergonomics, cognitive load, fatigue, etc.) in order to achieve a
smooth and natural interaction. Such higher level of cognition is
crucial to systematically include human-factors in the loop and
really enable symbiotic, personalized and adaptive interactions
between humans and robots.
*
Flexible manipulation in challenging scenarios: pick-and-place,
sorting, and packaging can be efficiently automatized when they are
required to manipulate objects with low variability (similar sizes
and shapes) and they are performed in structured environments.
However, when it comes to partially structured environments or
high-variability, current industrial solutions usually fail because
of a lack of flexibility and efficiency. Similarly, manipulation of
large and/or deformable objects is still a hard task to perform with
robotic manipulators. Examples are those draping processes required
in automotive and aerospace (carbon-fiber manipulation) and in the
textile industry. Despite these topics have been addressed for a
long time by researchers, real-world implementations and successful
case studies are rare and only recent research projects are trying
to effectively automatize these processes. These new solutions
should integrate vision, learning, and planning.
We invite researchers from both industry and academia to contribute to
this workshop with papers on their recent advances in these fields,
focusing on both theoretical methodology and industrial case studies.
Acknowledgement
***********
This workshop is partially supported by the EU funded project Sharework
(H2020 Factories of the Future GA No. 820807)
https://sharework-project.eu <https://sharework-project.eu/>.
Topics of interest (but not limited to)
***********
Applicants are expected to be conducting research in the field of
planning and control of Industrial robots. Topics of interest include
(but are not limited to):
*
Human-aware planning and execution in human-robot collaboration
*
Motion planning and control in dynamic environments
*
Long-term autonomy in human-robot collaborative scenarios
*
Manipulation of deformable/large objects
*
Combined task and motion planning
*
Multi-robot coordination and synchronization
*
Design and optimization of robotized workcells
*
Human-centered design of robotized cells
*
Safety and ergonomics of physical human-robot collaboration
*
Failure detection and recovery in HRC control systems
*
Evaluation methods for HRC workplaces and process (productivity,
flexibility, etc.)
*
Vision and control of industrial robots for HRI applications
*
Novel Sensing and grasping technologies for HRI
*
Interfaces for real-time path and motion planning and collision
avoidance
*
Case studies, experiments, ethics and outreach
Submissions
***********
Papers are limited to 8 double column pages.
They must comply with ETFA guidelines regarding formatting
(https://www.ieee.org/conferences/publishing/templates.html) and must be
submitted electronically in PDF format through the conference submission
system:
http://submit.ieee-ies.org/submit/etfa21/
Accepted papers must be presented at the workshop in order to be
included in the ETFA conference proceedings and will be published on
IEEE Xplore.
Organisation Chairs
*******************
Marco Faroni
Institute of Intelligent Industrial Technologies and Systems for
Advanced Manufacturing (STIIMA)
National Research Council (CNR), Italy
Alessandro Umbrico
Institute for Cognitive Science and Technologies (ISTC)
National Research Council (CNR), Italy
Manuel Beschi
Department of Industrial and Mechanical Engineering
University of Brescia, Italy
Program Committee
******************
Cosmin Copot, University of Antwerp, Belgium
Martina Lippi, University of ROMA TRE, Italy
Sotiris Makris, LMS, University of Patras, Greece
Andrea Orlandini, National Research Council of Italy (CNR-ISTC), Italy
Simone Pasinetti, University of Brescia, Italy
Nicola Pedrocchi, National Research Council of Italy (CNR-STIIMA), Italy
José Saenz, Fraunhofer IFF, Germany
Alberto Tellaeche, University of Deusto, Spain
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Dr. Alessandro Umbrico, PhD
National Research Council of Italy
Institute of Cognitive Sciences and Technologies
E-mail: alessandro.umbr...@istc.cnr.it
Linkedin: https://it.linkedin.com/in/alessandroumbrico
Researchgate: https://www.researchgate.net/profile/Alessandro-Umbrico
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