Soft Robotics: Actuation, Control, and Application
A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Actuators for Robotics".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 9942
Special Issue Editor
Special Issue Information
Dear Colleagues,
Robotics research is rapidly advancing and has attracted the attention of a large number of researchers. Based on the material characteristics of their bodies, robots can generally be classified as rigid robots and soft robots. Rigid robots have reliable structures and high motion precision, and can withstand large loads. Soft robots, taking advantage of their compliance, can adapt to complex and irregular environments and have a relatively strong resistance to impacts. Compared to traditional rigid robots, they offer better safety and adaptability. With their unique advantages, soft robots hold tremendous potential in fields like medical endoscopy and surgery, search and rescue in ruins, food processing, and dexterous manipulation. Compared to traditional rigid robots, soft robots exhibit strong specificity in actuation, sensing, and control. Currently, new types of soft actuators, sensors, and circuits are emerging in large numbers. This Special Issue will focus on the actuation, sensing, control, and application of soft robots, publishing a series of high-level papers to showcase the latest research findings in the field of soft robots and promote the transition of soft robotics from theory to application.
This Special Issue’s main goal is to present a cutting-edge collection of articles presenting novel developments in soft robot actuation, control, and application, as well as experimental studies relating to their use in real-world applications. This Special Issue covers a variety of contributions from different fields.
Dr. Han Yuan
Guest Editor
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Keywords
- soft actuators
- soft robots
- flexible electronics
- strain sensors
- artificial muscle
- electroactive polymers
- compliant mechanism
- sensors
- tactile sensors
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