Guest Editor(s)
Special Issue Information
Intelligent manufacturing, i.e., involving the use of information, automation, computation, software, sensing, and networking technologies has the potential to revolutionize the manufacturing industry. Intelligent manufacturing calls for advanced smart sensors and robotic sensing systems with the abilities to better interpret surroundings/environment, measure system parameters and monitor system status. So advanced robotic sensing systems need to be highly-capable, perceptive and dexterous systems that can operate safely in collaboration with humans and machines, and can be quickly integrated into the rest manufacturing systems. With the developments of emerging intelligent manufacturing applications (such as human-machine interface, mobile robots, smart sensors and intelligent robotics, etc.) along with rapid advances of communication, control and AI technologies, there is widely and stringent requirements for highly cost-effective smart sensors and reliable robotic sensing systems, including intelligentization, multi-dimensional perception, multi-modal sensing, modularization in addition to high accuracy and stability. This focused section is dedicated to report the latest advances and trends in advanced smart sensors and robotic sensing system design, modeling, and implementation, which can move forward new and emerging technologies in intelligent manufacturing applications.
The topics in this Special Issue will focus on the broad contents but are not limited as follows:
(1) Novel sensor design and sensing methods for robotic and manufacturing applications;
(2) Design and fabrication of advanced smart sensors and devices for intelligent robotics;
(3) Intelligent sensing, machine perception, and human-machine interface for robotic systems;
(4) Distributed sensing and networking for physical field reconstruction in manufacturing process and applications;
(5) Embedded sensors and robotic precepting system integration technologies;
(6) New sensing modalities and data fusion techniques for manufacturing process monitoring and control.
Contact Us
Journal Editorial Office Email: smdjournal@sciexplor.com
For Author Instructions, please refer to: www.sciexplor.com/smd/author_instructions
For Online Submission, please login at: http://www.intellimanus.com/#/login?journalPath=smd