2020
DOI: 10.15282/jmes.14.1.2020.14.0499
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Study on numerical analysis of dynamic parameters of mobile walking robot

Abstract: A dynamic model of a walking robot is proposed for moving along surfaces of different topologies and orientations to the horizon. The principal difference between walking robot mechanisms is that they are made in the form of flexible pedipulators. Actually the pedipulators are a set of spherical rings with a hydraulic or pneumatic drive. The patented design (Patent UA No 117065, publ. 2018.06.11) of the robot's feet is anthropomorphic and allows the robot to work in the angular coordinate system inherent in th… Show more

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Cited by 8 publications
(7 citation statements)
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“…Table 1 shows comparative qualitative indicators for VDR with different principles of engagement [21][22][23][24][25]. e movement mechanisms of VDR can also be divided into passive and active depending on whether the robot is equipped with an engine or not.…”
Section: Robots Engaging On a Vertical Surfacementioning
confidence: 99%
“…Table 1 shows comparative qualitative indicators for VDR with different principles of engagement [21][22][23][24][25]. e movement mechanisms of VDR can also be divided into passive and active depending on whether the robot is equipped with an engine or not.…”
Section: Robots Engaging On a Vertical Surfacementioning
confidence: 99%
“…The design of the phalanges of the fingers is discussed in more detail below. A dynamic model of a similar design, but in the form of pedipulators of a mobile robot, is considered in [28], [29]. Here we will consider the construction of a flexible arm Figure 1…”
Section: Design Of Flexible Robot Handmentioning
confidence: 99%
“…It has a special application on the different nonlinear systems based on feedback linearization by the use of nonlinear feedback law it would able to compute required torque in the arm [15][16][17][18]. It performs significantly well when all dynamic and physical parameter of the system is known [19][20][21][22][23]. The CTC like control appears in Robust, Adaptive and Learning Control [19,23,24].…”
Section: Control: Computed Torque Controller Analysismentioning
confidence: 99%