[I-RIM ML] [CFP] Special Issue on Industrial Robotics: Design and Applications
Alessandro Umbrico
umbrico.alessandro at gmail.com
Wed Aug 11 18:45:53 CEST 2021
Call for papers (apologies for multiple posting)
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Call for papers for a special issue on the Applied Sciences Journal of MDPI (IF: 2.679, ISSN 2076-3417)
- Title of the special issue: Industrial Robotics: Design and Applications
- URL: https://www.mdpi.com/journal/applsci/special_issues/Industrial_Robotics_Design_Applications <https://www.mdpi.com/journal/applsci/special_issues/Industrial_Robotics_Design_Applications>
- Deadline for manuscript submissions: 28 February 2022
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Information about the special issue
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Industrial robots play a key role in modern industrial automation where devices such as, e.g., robotic arms and automated guided vehicles (AGV) populate shop floors and (together with human workers) actively participate in the production life cycle. Robotic arms, or collaborative robots (cobots) more generally, for example, are used for assembly, inspection, and many other “common” tasks, with the aim of increasing the throughput of production systems as well as enhancing working conditions of human workers (e.g., alleviate cognitive of physical fatigue, reduce risks). Nevertheless, industrial implementations often do not fully exploit the great advancements made in research fields such as robotics and artificial intelligence (AI). The widespread use of results in AI and their integration with robotics, in particular, can significantly advance industrial robots by designing novel solutions that achieve higher levels of flexibility, dependability, autonomy, etc. These are indeed qualities that are crucial in the Industry 4.0, where production systems are characterized by flexible production needs, which requires industrial robots to work in full autonomy by understanding the production needs, goals, and states of a production environment (perception and cognition), continuously interact with production resources (autonomy and control), and cooperate with other actors, e.g., human workers, machines, and other robots, to carry out various production processes (coordination and collaboration).
This Special Issue invites paper presenting novel methodologies, methods, and software tools pushing the synergetic interaction (and integration) between AI and robotics in industrial scenarios. We particularly welcome papers that investigate the use of AI to enhance the “cognitive capabilities” of industrial robots to achieve increasingly flexible and “intelligent” behaviors. Examples are: (i) the use of AI to allow industrial robots to dynamically adapt their skills to the different and evolving production needs of a shop floor; (ii) the use of AI to enhance perception capabilities and allow industrial robots to track human operators, recognize human tasks, and dynamically configure and/or adapt robot behaviors to the inferred “intentions” of a worker; (iii) the use of AI to realize innovative control approaches that increase the dependability and flexibility of industrial robots and allow them to effectively (and efficiently) work in production scenarios affected by uncertainty, such as in human–robot collaboration.
Topics of interest (but not limited to)
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- Applied Artificial Intelligence
- Long-term Autonomy of Industrial Robots in Dynamic Environments
- Human-aware Motion planning and Control
- Combined Task and Motion Planning
- Multi-robot and/or Multi-agent Coordination
- novel Sensing and Grasping Technologies for HRI
- Human-centered Design of Industrial robots and Robotized Workcells
- Cybersecurity and Safety Issues of Industrial Robots for HRI
- Environment Cognition for Advanced Control
- Human-factor and Experiments
Guest Editor
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Alessandro Umbrico (alessandro.umbrico at istc.cnr.it <mailto:alessandro.umbrico at istc.cnr.it>)
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Dr. Alessandro Umbrico, PhD
National Research Council of Italy
Institute for Cognitive Science and Technology
E-mail: alessandro.umbrico at istc.cnr.it
WebSite: http://www.istc.cnr.it/people/alessandro-umbrico
Linkedin: http://it.linkedin.com/in/alessandroumbrico/
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