2022
DOI: 10.1007/s42235-022-00273-2
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Design of an Active Flexible Spine for Wall Climbing Robot Using Pneumatic Soft Actuators

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Cited by 13 publications
(3 citation statements)
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“…where d k is the incompressibility parameter, C i is the material constant, J is the volume variation ratio, I 1 is the first invariant [39]. Owing to the isotropy and incompressibility of silicone, J = 1.…”
Section: Motion Modelling Simulation Of Srfpamentioning
confidence: 99%
“…where d k is the incompressibility parameter, C i is the material constant, J is the volume variation ratio, I 1 is the first invariant [39]. Owing to the isotropy and incompressibility of silicone, J = 1.…”
Section: Motion Modelling Simulation Of Srfpamentioning
confidence: 99%
“…Therefore, taking advantage of the motion variance and structure softness, FRAs have the potential to be applied to implement the soft SRLs. Actually, FRAs have been employed in many fields of robotics, such as flexible spine for gecko-inspired wall-climbing robots [13], soft robotic gripper [14], eel-inspired underwater robots [15], and soft robotic sleeve supporting heart function [16]. Applying FRAs into the implementation of the soft SRL is expected to achieve better manipulation and wearing experience.…”
Section: Introductionmentioning
confidence: 99%
“…The muscle fiber is comprised of a number of myofibrils arranged in parallel and comprised of sarcomeres arranged in-series, which usually exhibit an angle to connective tissue's line and thus determines the muscle's mechanical function [8]. Hill proposed a theoretical model for the force-velocity relationship during muscle movement, in which muscle output force decreases significantly with increasing muscle fiber contraction velocity, favoring the output of muscle velocity at low loads and force output at high loads [9,[27][28][29][30]. The active actuation mechanisms of muscles relying on regional variation in architectures provide a feasible way for tuning the mechanical and deformation behaviors.…”
Section: Introductionmentioning
confidence: 99%