2022
DOI: 10.1109/tii.2021.3111655
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Fuzzy-Sliding Mode Control for Humanoid Arm Robots Actuated by Pneumatic Artificial Muscles With Unidirectional Inputs, Saturations, and Dead Zones

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Cited by 34 publications
(4 citation statements)
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“…PAMs is the major artificial muscle research and application topic for its high compliance, safety, and force ( Abu Mohareb et al, 2021 ; Liang et al, 2022a ), with the same long history as natural skeletal muscle. Since Pelrine et al investigated the large strains, fracture toughness, and fast response of acrylic and silicone elastomers compared to a natural muscle in 2000 ( Pelrine et al, 2000 ), DEA related papers have been studied extensively, but the technology development is rare.…”
Section: Resultsmentioning
confidence: 99%
“…PAMs is the major artificial muscle research and application topic for its high compliance, safety, and force ( Abu Mohareb et al, 2021 ; Liang et al, 2022a ), with the same long history as natural skeletal muscle. Since Pelrine et al investigated the large strains, fracture toughness, and fast response of acrylic and silicone elastomers compared to a natural muscle in 2000 ( Pelrine et al, 2000 ), DEA related papers have been studied extensively, but the technology development is rare.…”
Section: Resultsmentioning
confidence: 99%
“…In these articles, fuzzy logic plays a role in adjusting the control parameters. Reference 35 proposed an adaptive fuzzy sliding mode control approach to regulate a PAM system without a pre-defined model, in which the unknown parameters are estimated using fuzzy functions. Similarly, Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Among several methods to improve the safety of robots, the most effective one may be to replace traditional electromechanical manipulators with compliant manipulators. Pneumatic artificial muscles (PAMs) are a class of promising compliant actuators with the advantages of low cost, safety, cleanliness and high power-weight ratio, 4,5 which makes PAM-driven manipulators attract increasing attention in the field of human-computer interaction.…”
Section: Introductionmentioning
confidence: 99%