Robotics-inspired biology

Gravish, Nick; Lauder, George V.

doi:10.1242/jeb.138438

Cited by 109 publications

(74 citation statements)

References 82 publications

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“…[209,210] Wearable and skin-mountable sensors could be helpful in robophysical models to provide insight in the neuromechanics of locomotion. [211][212][213][214] Neuromechanics pertains to multiple physiological systems interacting to generate behavior in living organisms (Figure 14a). Attempting to decipher the neuromechanics of the locomotion involves the capturing of neuronal activity, the dynamics of the musculo-skeletal system, as well as the interaction of the body with the external environment.…”

Section: Soft Robotics and Neuromechanicsmentioning

confidence: 99%

“…Roboticists are increasingly cooperating with biologists to study mechanisms via soft robotic physical models with more animal like capabilities. [214] These physical models can provide a tool for biologists to test a larger parameter space than would be possible with live animal experimentation, and thus assist in hypothesis testing of locomotion dynamics, swimming behavior, and how the muscle and skeletal systems adapt functionalities in complex environments (e.g., in sand, soils, and land). In this context, stretchable strain sensors have potential to provide reliable sensory feedback that can yield robust capabilities.…”

Section: Soft Robotics and Neuromechanicsmentioning

confidence: 99%

See 1 more Smart Citation

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Souri¹,

Banerjee

Jusufi

et al. 2020

Advanced Intelligent Systems

404

289

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Recent advances in the design and implementation of wearable resistive, capacitive, and optical strain sensors are summarized herein. Wearable and stretchable strain sensors have received extensive research interest due to their applications in personalized healthcare, human motion detection, human–machine interfaces, soft robotics, and beyond. The disconnection of overlapped nanomaterials, reversible opening/closing of microcracks in sensing films, and alteration of the tunneling resistance have been successfully adopted to develop high‐performance resistive‐type sensors. On the other hand, the sensing behavior of capacitive‐type and optical strain sensors is largely governed by their geometrical changes under stretching/releasing cycles. The sensor design parameters, including stretchability, sensitivity, linearity, hysteresis, and dynamic durability, are comprehensively discussed. Finally, the promising applications of wearable strain sensors are highlighted in detail. Although considerable progress has been made so far, wearable strain sensors are still in their prototype stage, and several challenges in the manufacturing of integrated and multifunctional strain sensors should be yet tackled.

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Section: Soft Robotics and Neuromechanicsmentioning

confidence: 99%

Section: Soft Robotics and Neuromechanicsmentioning

confidence: 99%

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Souri¹,

Banerjee

Jusufi

et al. 2020

Advanced Intelligent Systems

404

289

View full text Add to dashboard Cite

show abstract

“…hence, BID thinking 2.0 or here coined 'evomimetics'. Not only can the untangling of biological structures and functions open up new insights for BID thinking, also the reverse is true: reverse biomimetics can open up new avenues for studying evolutionary processes and how adaptations have arisen in the natural world [63,77,78]. As Meijer, et al [79] perfectly formulated: "nature can serve as a template for future designs, given that the proper questions are asked and the potential pitfalls are identified.…”

Section: Evomimetic Design Thinkingmentioning

confidence: 99%

Evomimetics: the biomimetic design thinking 2.0

Adriaens

2019

Bioinspiration, Biomimetics, and Bioreplication IX

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The consensus is that nature is a tremendous source of ideas for innovative designs that can meet various specific functional needs, relevant to society. Designs rely on structural, constructional, process-based and behavioral traits that all result from a natural trial-and-error cycle: evolution. Being one of the pillars of biomimicry, through billion years of evolution, nature has experimented and found what works and lasts, and what does not. Evidently, this has attracted scientists, especially engineers, trying to understand working natural designs, and translate them into applicable, working synthetic designs. The 'Biomimetic Design Method' forms the underlying conceptual framework to analytically decode biologically functions and designs. However, even though the evolutionary process is considered key to all this, it is generally overlooked in this conceptual thinking. The general assumption is that particular functions in organisms result from a natural selection process that optimized the underlying design for a particular function, thereby overlooking that an organism actually represents the possibly best compromise between all its functions needed to survive, to reproduce and to produce fit offspring. Many evolutionary processes thus yield suboptimal design components that, when put together, provide an optimized organismal design that manages to perform as good as needed, within a given environment. Such evolutionary limitations thus create possible pitfalls for bio-inspired design thinking. But, when considering them as a structural part of the design thinking process ('evomimetics'), they actually create opportunities for an improved translation of biology into optimally functioning designs. Using specific examples from evolutionary biology, these processes are explained, and recommendations are formulated.

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“…Reviews of classical biorobotics are offered in Webb and Consi (2001), Webb (2001), Webb (2002) and Gravish and Lauder (2018).…”

Section: Introductionmentioning

confidence: 99%

The Logic of Interactive Biorobotics

Datteri

2020

Front. Bioeng. Biotechnol.

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In recent studies, robots are used to stimulate living systems in controlled experimental settings. This research strategy is here called interactive biorobotics, to distinguish it from classical biorobotics, in which robots are used to simulate, rather than to stimulate, living system behavior. This article offers a methodological analysis of interactive biorobotics and has two goals. The first one is to argue that interactive biorobotics is methodologically different, in some important respects, from classical biorobotics and from countless instances of model-based science. It will be shown that interactive biorobotics does not conform to the so-called "understanding by building" approach or synthetic method, and that it illustrates a novel use of models in science. The second goal is to reflect on the logic of interactive biorobotics. A distinction will be made between two classes of studies, which will be called "proximal" and "distal." In proximal studies, experiments involving robot-animal interaction are brought to bear on theoretical hypotheses on robot-animal interaction. In distal studies, experiments involving robot-animal interaction are brought to bear on theoretical hypotheses on animal-animal interaction. Distal studies involve logical steps which may be particularly hard to justify. This distinction, together with a methodological reflection on the relationship between the context in which the experiments are carried out and the context in which the conclusions are expected to hold, will lead to a checklist of questions which may be useful to justify and evaluate the validity of interactive biorobotics studies. The reconstruction of the logic of interactive biorobotics made here, though preliminary, may contribute to justifying the important role that robots, as tool for stimulating living systems, can play in the contemporary life sciences.

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Robotics-inspired biology

Cited by 109 publications

References 82 publications

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Evomimetics: the biomimetic design thinking 2.0

The Logic of Interactive Biorobotics

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