2021
DOI: 10.11159/cdsr21.101
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Consistent Control Framework for Ambidextrous Robot Arm Using MANFIS Controller

Abstract: This paper presents a control strategy to control an Ambidextrous robot arm. The idea is based on combining of Proportional Integral Derivative (PID) with Neural Network (NN) and Multiple Adaptive Neuro-fuzzy Inference (MANFIS) controller with selector block. This unique set of combination is used to solve the problem of inverse kinematics and to get a stable dynamic response in different situations. The results obtained from the experiments proved the effectiveness of the controllers in term of performing mul… Show more

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Cited by 2 publications
(4 citation statements)
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“…The maximum error is about 0.2 cm as shown in Figures 20–22. A short video for this experiment is available in [34].…”
Section: Anfis Controller Design For the Ambidextrous Armmentioning
confidence: 99%
See 2 more Smart Citations
“…The maximum error is about 0.2 cm as shown in Figures 20–22. A short video for this experiment is available in [34].…”
Section: Anfis Controller Design For the Ambidextrous Armmentioning
confidence: 99%
“…In term of the difference between the two paths, Figures 24–26 clearly illustrate that the maximum error is approximately 0.2 cm, which is acceptable in many applications. A short video for this experiment is available in [35].…”
Section: Anfis Controller Design For the Ambidextrous Armmentioning
confidence: 99%
See 1 more Smart Citation
“…Even though they can do pick and place tasks effectively, they are not suited to more complex manipulation activities [22,23]. For the design to be functional and successful, it needs to generate complex geometries, mechanically adapt to the shape of an object, specialize in grasping and manipulating with ultra-sensitive touch sensors, and have a low impact energy to achieve close resemblance to a human hand [24].…”
Section: Introductionmentioning
confidence: 99%