Design and control of a two-link robotic manipulator: A review

Kumar, Ranjan; Kumar, Kaushik

doi:10.1063/5.0057931

Cited by 3 publications

(1 citation statement)

References 55 publications

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“…The revised GA's viability assessment and additional evolutionary algorithms are addressed here, and a thorough study just of operation of traditional GA may be found at [27]. A health functional was built using this situation's optimal solution to assess the overall health of each bit string in the crowd.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Fuzzy-based optimization and linear feedback fluid actuators for soft handheld robots

Kulshrestha

Mahandiran²,

Kurikyala

et al. 2022

ijhs

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Because these were elastic & inexpensive, Hydraulic Muscle Activator (HMA) has a lot of promise in portable and responsive rehabilitative equipment. The transducers' changing and continuous response, on the other hand, create modeling and management problems that are hard to grasp. Our study offers a novel portable ankle rehabilitative robotic, that globes only of its type, which is powered with Optimized HMAs (OHMA) run tandem. The goal of this paper is to provide an adaptive regulator that will help OHMA-driven gadgets conquer their problems. To properly anticipate that performance for OHMA, fuzzy feedback regulate operator is developed. To find the best combination input settings for imprecise controllers, a Genetic Algorithm (GA) Based is used. The propoed OHMA-driven gait training robots have been evaluated, and the iteration controllers are effective in tracing the complicated connection between length, velocity, and tension of the OHMA with great precision. Whenever provided several intended trajectories, empirical findings demonstrate that the microcontroller can follow them quite well.

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Section: Genetic Algorithmmentioning

confidence: 99%