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ICCR 2017 - 2017 International Conference on Cloud and Robotics

Date2017-11-22 - 2017-11-23

Deadline2017-10-23

VenueSaint Quentin, France France

Keywords

Websitehttps://www.cloudrobotics.info

Topics/Call fo Papers

4th edition of the International Conference on Cloud and Robotics (ICCR 2017 - http://cloudrobotics.info) will be held on November 22-23 2017 in Saint-Quentin, France. The conference is co-located with the industry exposition Robonumerique (http://www.robonumerique.fr).
The domain of cloud robotics aims to converge robots with computation, storage and communication resources provided by the cloud. The cloud may complement robotic resources in several ways, including crowd-sourcing knowledge databases, context information, computational offloading or data-intensive information processing for artificial intelligence. As the challenges in this domain are multi-disciplinary, the session aims at building a bridge between experts from academia and industry working in different fields, such as robotics, machine learning, artificial intelligence, software architecture, big data analytics, Internet-of-Things and distributed cloud systems.
The conference is organizing two special sessions: one on the integration of Internet-of-Things with robots (leading to the so-called Internet of Robotic Things), as well as one industry session.
Topics
Topics of interest include, but are not necessarily limited to:
Architectures and middleware solutions for cyber-physical systems, integrating the IoT, the cloud/edge with robots and other actuators
Distributed sensing, planning and actuation
Cloud-based control systems, possibly using deterministic wireless or wired networking
Domain Specific Languages for cloud robotics and cyber-physical systems
Software engineering practices for networked robots
Tele-robotic systems
Computational offloading and load balancing in robotics
Multi-robot coordination and orchestration
Self-adaptive cyber-physical and robotic systems
Cloud-supported collective knowledge and parameter sharing between actuation systems
Sensor fusion for improved control policies
Transfer learning between tasks or across robotic systems
Hands-on experiences and use cases in the fields of manufacturing, Industry 4.0, healthcare, active assisted living, logistics and transportation, security and surveillance, precision agriculture and others.

Last modified: 2017-08-30 22:31:51