材料科学
灵活性(工程)
软机器人
机器人
机器人学
纳米技术
软质材料
人机交互
领域(数学)
新兴技术
系统工程
计算机科学
人工智能
工程类
统计
数学
纯数学
作者
Juntian Qu,Guangming Cui,Zhenkun Li,Shutong Fang,Xianrui Zhang,Ang Liu,Mingyue Han,Houde Liu,Xueqian Wang,Li Wang
标识
DOI:10.1002/adfm.202401311
摘要
Abstract Soft robots have recently attracted increasing interest due to their advantages in durability, flexibility, and deformability, which enable them to adapt to unstructured environments and perform various complex tasks. Perception is crucial for soft robots. To better mimic biological systems, sensors need to be integrated into soft robotic systems to obtain both proprioceptive and external perception for effective usage. This review summarizes the latest advancements in flexible sensing feedback technologies for soft robotic applications. It begins with an introduction to the development of various flexible sensors for soft robots, followed by an in‐depth exploration of smart materials and advanced manufacturing methods. A detailed description of flexible sensing modalities and methodologies is also included in the review to illustrate the continuous breakthrough of the technology. In addition, the applications of soft robots based on these advanced sensing technologies are concluded as well. The challenges of flexible sensing technologies for soft robots and promising solutions are finally discussed and analyzed to provide a prospect for future development. By examining the recent advances in intelligent flexible sensing technologies, this review is dedicated to highlighting the potential of soft robotics and motivating innovation within the field.
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