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Collaborative Robotics in the 21st Century

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".

Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 163

Special Issue Editors


E-Mail Website
Guest Editor
Department Computer Science and Automation, University of Salamanca, 37008 Salamanca, Spain
Interests: sensing in robotics; sensing in simulation; autonomous robots; industrial control and automation; machine learning; computer vision; medical image analysis

E-Mail Website
Guest Editor
Department of Computer Science and Automatic, University of Salamanca, 37008 Salamanca, Spain
Interests: AI in robotics; human movement caption; computer vision; deep learning applications; AI in medicine (ML and NLP applications)

Special Issue Information

Dear Colleagues,

The development of innovative industrial manipulators has been supported by advancements in sensors and force control systems. As a result, manipulators can coexist and interact with operators, machinery, and products in a completely new way, allowing people to re-imagine  the production space and manufacturing processes. This approach maximizes the speed and precision capabilities of manipulators with human reasoning and planning capabilities.

In industry, cobots are being used as tireless work assistants, and it is necessary to maximize operators’ safety and productivity. Cobots' inherent flexibility allow them to be extensively deployed in small- and medium-sized industries, introducing new market niches and applications.

This innovative approach, where the manipulator is free of protective restrictions, will allow the cobot to be integrated into more challenging spaces and applications, such as service cobots in public spaces, home help, hospital care, or nursing home care.

Therefore, this Special Issue aims to gather original research and review articles on advances, technologies, applications, and new challenges in the study of collaborative robotics to address safer and more flexible, efficient, and dexterous tasks.

Potential topics include, but are not limited to:
- Sensory strategies to avoid hazards in the workspace;
- Sensor-based strategies to recognize and predict human movements;
- Human–cobot interaction experiences based on sensors; 
- New cobot programming methods; 
- New collaborative manipulation planning procedures;
- Innovative industrial applications of collaborative robotics;
- SME (Small and Medium Enterprise) cobot applications; 
- Non-industrial applications for cobots;
- Definition of multi-robot strategies with cobots;
- New collaborative grasping strategies.

Prof. Dr. Belén Curto
Dr. Vidal Moreno Rodilla
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sensing
  • human interaction
  • programming
  • grasping
  • path planning
  • collision detection
  • force-based control
  • deep learning

Published Papers

There is no accepted submissions to this special issue at this moment.
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