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Annual Review of Control, Robotics, and Autonomous Systems

Volume 6, 2023

An Overview of Soft Robotics

Abstract

Soft robots’ flexibility and compliance give them the potential to outperform traditional rigid-bodied robots while performing multiple tasks in unexpectedly changing environments and conditions. However, soft robots are yet to reveal their full potential; nature is still far more advanced in several areas, such as locomotion and manipulation. To understand what limits their performance and hinders their transition from laboratory to real-world conditions, future studies should focus on understanding the principles behind the design and operation of soft robots. Such studies should also consider the major challenges with regard to complex materials, accurate modeling, advanced control, and intelligent behaviors. As a starting point for such studies, this review provides a current overview of the field by examining the working mechanisms of advanced actuation and sensing modalities, modeling techniques, control strategies, and learning architectures for soft robots. Next, we summarize how these approaches can be applied to create sophisticated soft robots and examine their application areas. Finally, we provide future perspectives on what key challenges should be tackled first to advance soft robotics to truly add value to our society.

Keyword(s): actuation, control, design, locomotion, machine learning, manipulation, modeling, robotic interaction, sensing, simulation
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/content/journals/10.1146/annurev-control-062322-100607
2023-05-03
2024-04-26
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/content/journals/10.1146/annurev-control-062322-100607
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An Overview of Soft Robotics
Annual Review of Control, Robotics, and Autonomous Systems 6, 1 (2023); https://doi.org/10.1146/annurev-control-062322-100607
/content/journals/10.1146/annurev-control-062322-100607
/content/journals/10.1146/annurev-control-062322-100607
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