Organizing Committee: Thomas Moser (St. Pölten University of Applied Sciences), Munir Merdan (Practical Robotics Institute Austria)
Aims & Scope
This half-day workshop aims at exploring emerging research in the areas of linked data in robotics and Industry 4.0.
Industry 4.0 is a collective term (created in Germany) for the technological concepts of cyber-physical systems, the Internet of Things and the Internet of Services, leading to the vision of the Smart Factory. Within a modular structured Smart Factory, cyber-physical systems monitor physical processes, and make decentralized decisions. Over the Internet of Things, cyber-physical systems communicate and cooperate with each other and humans in real time. In addition, one of the aims in robotics is to build smarter robots that can communicate, collaborate and operate more naturally and safely. Increasing a robot’s knowledge and intelligence is a vital for the successful implementation of Industry 4.0, since traditional approaches are not flexible enough to respond to the rapidly changing demands of new production processes and their growing complexity. Linked data represents a promising approach to overcome limitations of the state-of the- art solutions.
The overall goal of the LIDARI workshop is to identify challenges and limitations in Robotics and Industry 4.0 and discuss with experts from the linked data community how linked data can be effectively applied addressing the synergies and solution approaches. Industry 4.0 is a collective term (created in Germany) for the technological concepts of cyber-physical systems, the Internet of Things and the Internet of Services, leading to the vision of the Smart Factory. Within a modular structured Smart Factory, cyber-physical systems monitor physical processes, and make decentralized decisions. Over the Internet of Things, cyber-physical systems communicate and cooperate with each other and humans in real time. As identified in both academia and industry, there are several design principles in Industry 4.0, which support companies in identifying and implementing Industry 4.0 scenarios:
- Interoperability: the ability of cyber-physical systems (i.e. workpiece carriers or assembly stations) and humans to connect and communicate via the Internet of Things
- Virtualization: linking sensor data (from monitoring physical processes) with virtual plant models and simulation models
- Decentralization: the ability of cyber-physical systems within Smart Factories to make decisions on their own
- Real-Time Capability: the capability to collect and analyze data and provide the derived insights immediately
- Service Orientation: offering of services (cyber-physical systems, humans or Smart Factories)
- Modularity: flexible adaptation of Smart Factories to changing requirements by replacing or expanding individual modules
In addition, one of the aims in robotics is to build smarter robots that can communicate, collaborate and operate more naturally and safely. Increasing a robot’s knowledge and intelligence is a vital for the successful implementation of Industry 4.0, since traditional approaches are not flexible enough to respond to the rapidly changing demands of new production processes and their growing complexity. Linked data represents a promising approach to overcome limitations of the state-of the- art solutions. The following list of topics is indicative, but other topics are also welcome:
- Knowledge Representation for Robotics
- Data integration
- Motion and task planning
- Manipulation and grasping
- Object and place recognition
- Human-Robot and Robot-Robot Interaction
- Navigation
- Databases for robotics applications
- Multidisciplinary Topics
Program
- 13:30-13:45: Introduction
- 13:50-14:20: Decentralized Robot-Cloud Architecture for an Autonomous Transportation System in a Smart Factory (Jon Martin)
- 14:25-14:55: Requirements and Specifications for Robots, Linked Data and all the REST (René Schubotz)
- 15:00-15:30: Coffee break
- 15:30-16:00: Internet of Things (IoT) for Dynamic Change Management in Mass Customization (C. Y. Leong)
- 16:05-16:35: Towards Integration and Coverage Assessment of Ontologies for Knowledge Reuse in the Aviation Sector (Jos Lehmann)
- 16:35-16:45: Closing
Contact
- Thomas Moser (thomas.moser@fhstp.ac.at)
- Munir Merdan (merdan@pria.at)
Publication
The proceedings of the workshop will be published as CEUR Workshop Proceedings (http://ceur-ws.org/)
Important Dates
- Extended Submission Deadline: July 21, 2017 (11:59 pm, CET time)
- Notification of Acceptance: August 7, 2017
- Camera-Ready Paper: August 28, 2017
- Workshop day: September 11, 2017
Call for Papers & Submission
The LIDARI workshops at SEMANTiCS 2017 welcomes the submission of papers on scientific research and/or innovations relevant to the topics of the workshop (download the CfP here). Submissions must be original and must not have been submitted for publication elsewhere. Papers should follow the latest ACM ICPS guidelines for formatting (http://www.acm.org/sigs/publications/proceedings-templates) and must not exceed 8 pages in length, including references and optional appendices.
Submissions will be reviewed by at least 2 PC members following a double-blind review process. Accepted papers will be given guidelines in preparing and submitting the final manuscript(s) together with the notification of acceptance.
Submission via Easychair using https://easychair.org/conferences/?conf=lidari2017
Registration
- The workshop is part of the SEMANTiCS 2017 conference registration. Please follow the registration link below.
- Please note that at least one author of each accepted paper is expected to attend the workshop.
Program committee
- Wolfgang Aigner (St. Pölten University of Applied Sciences, Austria)
- Wilfried Lepuschitz (Practical Robotics Institute, Austria)
- Oscar Pastor Lopez (Universidad Politécnica de Valencia, Spain)
- Estefania Serral Asensio (Katholieke Universiteit Leuven, Belgium)
- Sergio de Cesare (Brunel University, U.K.)
- Frederik Gailly (Ghent University, Belgium)
- Fajar Juang Ekaputra (Vienna University of Technology, Austria)
- Marta Sabou (Vienna University of Technology, Austria)
- Martin Melik-Merkumians (Vienna University of Technology, Austria)
- Alois Zoitl (fortiss, Germany)
- Amin Anjomshoaa (MIT Senseable City Lab, US)
- Rafael Valencia-Garcia (Universidad de Murcia, Spain)
- Kay Müller (VICO Research, Germany)