Smart Robotics for Automation
A topical collection in Sensors (ISSN 1424-8220). This collection belongs to the section "Physical Sensors".
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Interests: robot control; mobile robotics; educational robotics; collaborative robotics
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Topical Collection Information
Dear Colleagues,
In recent years, the demand for efficient automation in distribution centers has increased sharply, mainly due to the increase in e-commerce. This trend continues and spreads to other sectors. The world’s population is aging, so more efficient automation is needed to cope with the relative reduction in the available workforce in the near future. In addition, as more people are moving to cities and fewer people are interested in working on farms, food production will also need to be automated more efficiently. Moreover, climate change tends to play an important role due to factors such as the decrease in available areas for food production.
To address these important problems, this Topical Collection on “Smart Robotics for Automation” is dedicated to publishing research papers, communications, and review articles proposing solutions to increase the efficiency of automation systems with the application of smart robotics. By smart robotics we mean solutions that apply the latest developments in artificial intelligence, sensor systems (including computer vision), and control to manipulators and mobile robots. Solutions that increase the adaptability and flexibility of current robotic applications are also welcome.
Topics of interest are related to robotics automation. A non-exhaustive list is as follows:
- Process automation with intelligent robotics;
- Intelligent robotic applications for production systems;
- Robotics applied to precision agriculture;
- AI and machine learning systems applied to robotics;
- Robot control;
- Robot manipulation and picking;
- Mobile robot navigation, localization, and mapping;
- Interpretation of sensor data (including vision systems);
- Human–robot collaboration (including cobots);
- Multi-robot systems
This Topical Collection is focused more on sensors. Papers focus on Automation may choose our joint Topical Collection in Automation (ISSN 2673-4052).
Dr. Felipe N. Martins
Collection Editor
Manuscript Submission Information
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Keywords
- Control theory
- Manufacturing systems
- Learning systems
- Intelligent control systems
- Artificial neural networks
- Motion control and sensing
- Process automation and monitoring
- Sensors and signal processing
- Robotics and applications