2023
DOI: 10.1007/s43154-023-00102-2
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Bioinspired Soft Robotics: State of the Art, Challenges, and Future Directions

Maxwell Hammond,
Venanzio Cichella,
Caterina Lamuta
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Cited by 9 publications
(4 citation statements)
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“…Bio-inspired robotics opens up new possibilities for narrowing the gap between synthetic robots and their natural analogues (Hammond et al, 2023). This approach not only advances robotics but also provides biologists with tools to test hypotheses that may be impractical with living specimens, thereby serving as invaluable assets in biomechanical research (Siddall et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Bio-inspired robotics opens up new possibilities for narrowing the gap between synthetic robots and their natural analogues (Hammond et al, 2023). This approach not only advances robotics but also provides biologists with tools to test hypotheses that may be impractical with living specimens, thereby serving as invaluable assets in biomechanical research (Siddall et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…With the advent of soft robotics, the reproduction of bioinspired structures has increased enormously, pushing it to an unexpected level compared to the past [10]. The two main drivers of this field of research have been both the availability of soft materials [11], which are easily deformable and inherently safe, and 3D printing, especially fused deposition modeling (FDM) [12], to make molds for injection silicone rubbers and to print actuators [13] directly.…”
Section: Introductionmentioning
confidence: 99%
“…The phrase 'biologically inspired robotics' first appeared in a journal article written by Beer et al in 1997 [2], followed by work by Dickinson et al in 2000 [3] and Ritzmann et al in 2000 [4], where they suggested that robots should have as many characteristics of animals as possible. Mechatronics has frequently drawn inspiration from behavioral, cognitive, and neuroscience research to build systems that are more reactive, efficient, flexible, and adaptable based on biological principles of locomotion and manipulation tasks in natural environments [5]. The study of physical system-environment interactions has become highly prominent in the interdisciplinary fields of embodied cognitive science and artificial intelligence, where biologists and roboticists collaborate to further examine the fundamental mechanisms of adaptivity in biological systems [6].…”
Section: Introductionmentioning
confidence: 99%