2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) 2018
DOI: 10.1109/aim.2018.8452693
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FABRIKc: an Efficient Iterative Inverse Kinematics Solver for Continuum Robots

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Cited by 26 publications
(6 citation statements)
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“…Thus the problem of five-dimension nonlinear equations is transformed into a single variable iteration problem so that better solution efficiency is obtained. The inverse kinematics method above is similar to, 31 which is based on the FABRIK method. 32 According to, 30 formula 6 can also be written as: which can be calculated as follows.…”
Section: Inverse Kinematicsmentioning
confidence: 99%
“…Thus the problem of five-dimension nonlinear equations is transformed into a single variable iteration problem so that better solution efficiency is obtained. The inverse kinematics method above is similar to, 31 which is based on the FABRIK method. 32 According to, 30 formula 6 can also be written as: which can be calculated as follows.…”
Section: Inverse Kinematicsmentioning
confidence: 99%
“…Inverse Jacobian based IK approach has higher computation cost and also have singularity problems. Therefore, Forward and Backward Recursive Inverse Kinematics (FABRIK) can be used to find the IK solution [12][13][14].…”
Section: Inverse Kinematicsmentioning
confidence: 99%
“…The most common way to solve the inverse kinematics of constant curvature multisection continuum robots is the usage of Jacobian-based methods [12,14]. Other options are geometric [13,18] and analytical (not appliable to multisection robots comprising non-extensible sections) methods [15], learning-based [19] methods, and FABRIK-based (forward-and backward-reaching inverse kinematics) algorithms [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we present FABRIKx-a fast and reliable algorithm for solving the inverse kinematics of variable-curvature multisection continuum robots. We chose FAB-RIK [35] as the base algorithm due to its singularity-free nature demonstrating good results for constant curvature continuum robots [20,36]. We combine both tangent [20] and chord [21] approaches with the piecewise constant curvature assumption.…”
Section: Introductionmentioning
confidence: 99%
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