机器人学
软机器人
机器人
人工智能
计算机科学
领域(数学)
人机交互
软质材料
纳米技术
材料科学
数学
纯数学
作者
Chidanand Hegde,Jiangtao Su,Joel Ming Rui Tan,Ke He,Xiaodong Chen,Shlomo Magdassi
出处
期刊:ACS Nano
[American Chemical Society]
日期:2023-08-02
卷期号:17 (16): 15277-15307
被引量:95
标识
DOI:10.1021/acsnano.3c04089
摘要
Soft robotics is an exciting field of science and technology that enables robots to manipulate objects with human-like dexterity. Soft robots can handle delicate objects with care, access remote areas, and offer realistic feedback on their handling performance. However, increased dexterity and mechanical compliance of soft robots come with the need for accurate control of the position and shape of these robots. Therefore, soft robots must be equipped with sensors for better perception of their surroundings, location, force, temperature, shape, and other stimuli for effective usage. This review highlights recent progress in sensing feedback technologies for soft robotic applications. It begins with an introduction to actuation technologies and material selection in soft robotics, followed by an in-depth exploration of various types of sensors, their integration methods, and the benefits of multimodal sensing, signal processing, and control strategies. A short description of current market leaders in soft robotics is also included in the review to illustrate the growing demands of this technology. By examining the latest advancements in sensing feedback technologies for soft robots, this review aims to highlight the potential of soft robotics and inspire innovation in the field.
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