2021
DOI: 10.1016/j.isci.2021.103075
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Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration

Abstract: Organisms in nature grow with senses, nervous, and actuation systems coordinated in ingenious ways to sustain metabolism and other essential life activities. The understanding of biological structures and functions guide the construction of soft robotics with unprecedented performances. However, despite the progress in soft robotics, there still remains a big gap between man-made soft robotics and natural lives in terms of autonomy, adaptability, self-repair, durability, energy efficiency, etc. Here, the actua… Show more

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Cited by 45 publications
(21 citation statements)
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References 170 publications
(197 reference statements)
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“…Despite the continued reliance on visual feedback within the surgical industry, considerable progress has been made in the development of tactile and force sensors [29], [108]. More recently, technologies that enable the integration of soft sensors into soft robots have also emerged [109]- [111]. The challenge here is to take the progressive step from existing sensor technologies that are usually made from rigid components, toward new sensing options that are as compliant as the robots into which they are to be integrated.…”
Section: A Force and Tactile Sensing In Soft Robotsmentioning
confidence: 99%
“…Despite the continued reliance on visual feedback within the surgical industry, considerable progress has been made in the development of tactile and force sensors [29], [108]. More recently, technologies that enable the integration of soft sensors into soft robots have also emerged [109]- [111]. The challenge here is to take the progressive step from existing sensor technologies that are usually made from rigid components, toward new sensing options that are as compliant as the robots into which they are to be integrated.…”
Section: A Force and Tactile Sensing In Soft Robotsmentioning
confidence: 99%
“…Hybrid model frameworks combining synaptic plasticity-dependent neural firing with simple biomechanics at speeds faster than real time illustrate how invertebrate learning directly inspires "intelligent" robotics [114,115]. Such frameworks exploit a multifunctional model of Aplysia feeding rhythms, which are capable of repeatedly reproducing three types of behavior: biting, swallowing, and rejecting.…”
Section: Repetitive or Rhythmic Behaviormentioning
confidence: 99%
“…Biological systems have exhibited as integration of sensing, actuation, and computation functions, such as self‐achieve shape and appearance changes, self‐adaptive load support etc. [ 1,2 ] Such integration of sensing, actuation, and computation of smart materials have wide potential applications in aircraft, vehicles, sensorial robotics, prosthetics, and clothing and furniture. [ 3 ]…”
Section: Introductionmentioning
confidence: 99%
“…Biological systems have exhibited as integration of sensing, actuation, and computation functions, such as self-achieve shape and appearance changes, self-adaptive load support etc. [1,2] Such integration of sensing, actuation, and computation of smart materials have wide potential applications in aircraft, vehicles, sensorial robotics, prosthetics, and clothing and furniture. [3] Electroactive polymers (EAPs) are promising smart materials that can change their shape or size under electric fields, or conversely, can generate electric charges under pressure.…”
Section: Introductionmentioning
confidence: 99%