Advances in Soft Robotics: Design, Sensing and Control
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: closed (15 May 2023) | Viewed by 7055
Special Issue Editors
Interests: soft robotics; reconfigurable robotics; robot control; robotic manipulation and grasping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the last decade, soft robots have attracted considerable research interest in the robotics community. They can generate different biomimetic locomotion such as rolling, jumping, crawling, and swimming. Moreover, to address different deformation modes such as bending, rotation, twisting, and contraction/expansion, a variety of soft robots have been designed and fabricated. On the other hand, soft material robotics relies on compliant materials that are inherently impedance matched to natural environments. Accordingly, extensive applications ranging from biomedical and wearable technologies to architecture, art, and education have been explored.
Soft robots have the ability to achieve any kinematic configuration through deformations, with this benefit being derived from compliant materials. This increases the complexity within existing modelling, sensing, and control frameworks, motivating researchers to develop novel techniques for soft robots. The aim of this collection is to bring together papers focusing on recent advances in soft robotics. It explicitly aims to collect papers with three main scopes, i.e., i) the design and manufacturing of soft robotics. This can include recent development in the design and fabrication of soft actuators and soft robotics. ii) Sensing in soft robotics, which welcomes papers developing soft sensing-like stretchable sensors, resistive and capacitive stretchable sensing, magnetic sensing, and optoelectronic sensing for soft robotics. Iii) The control of soft robotics, with papers being on both the model-based and model-free control of soft robotics being of interest. Papers that study data-driven methods or machine learning for the modelling and control of soft robotics are highly encouraged for submission.
The original research and results within the scope of this section will be peer-reviewed, and these novel studies will be published to be shared with other experts in the soft robotics, sensors, and control communities. This section is also a platform through which comprehensive review papers on more recent areas in the design, sensing and control of soft robotics can be shared.
Topics of interest for this collection include but are not limited to:
- Topology-optimized design in soft robotics;
- Manufacturing methods in soft robotics;
- Additive and shape deposition manufacturing in soft robotics;
- Shape memory alloys;
- Soft smart structures;
- Soft and stretchable sensors;
- Resistive and capacitive stretchable sensing;
- Magnetic and optoelectronic sensing;
- Model-based control of soft robotics;
- Static and dynamic control of soft robotics;
- Data-driven models in soft robotics;
- Machine learning in soft robotics.
Dr. Hamed Rahimi Nohooji
Dr. Amirreza Fahim Golestaneh
Guest Editors
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