2014
DOI: 10.5120/17676-8510
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A Simple Algorithm for Generating Stable Biped Walking Patterns

Abstract: This paper proposes a thorough algorithm that can tune the walking parameters (hip height, distance traveled by the hip, and times of single support phase SSP and double support phase DSP) to satisfy the kinematic and dynamic constraints: singularity condition at the knee joint, zero-moment point (ZMP) constraint, and unilateral contact constraints. Two walking patterns of biped locomotion have been investigated using the proposed algorithm. The distinction of these walking patterns is that the stance foot wil… Show more

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Cited by 5 publications
(10 citation statements)
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“…See [48,49] for more details. Figure 9 shows the configuration of the biped robot during the SSP; for more details on modeling and control of biped robots see [47][48][49][50][51][52][53][54][55][56][57]. The physical parameters are borrowed from [58].…”
Section: Six-link Biped Robotmentioning
confidence: 99%
See 1 more Smart Citation
“…See [48,49] for more details. Figure 9 shows the configuration of the biped robot during the SSP; for more details on modeling and control of biped robots see [47][48][49][50][51][52][53][54][55][56][57]. The physical parameters are borrowed from [58].…”
Section: Six-link Biped Robotmentioning
confidence: 99%
“…The ZMP location coincides with the location of the center of pressure for the balance walking; however, this is not the case for unbalanced walking. See[47][48][49][50][51][52][53][54][55][56][57] and the references therein for more details.…”
mentioning
confidence: 99%
“…43 Since both the conditions (7) and (8) are inequality constraints, incorporating these directly into the system of Eq. (4) will lead to a complementarity problem, which requires constrained optimization or iterative methods [44][45][46] to solve. In this work, we have replaced the conditions (7) and (8) with equality constraints that always satisfy the inequalities as we discuss in the coming sections.…”
Section: Frictionmentioning
confidence: 99%
“…Offline walking patterns do not need multi-level controllers, because they have been prepared in advance to satisfy the dynamic/kinematic constraints. 65,69,70,102 It needs only low-level control to track the desired angular joint trajectories.…”
Section: Zmp-based Controlmentioning
confidence: 99%