2015 54th IEEE Conference on Decision and Control (CDC) 2015
DOI: 10.1109/cdc.2015.7402104
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Stability analysis for set-based control within the singularity-robust multiple task-priority inverse kinematics framework

Abstract: Abstract-Inverse kinematics algorithms are commonly used in robotic systems to accomplish desired behavior, and several methods exist to ensure the achievement of several tasks simultaneously. The multiple task-priority inverse kinematics framework allows tasks to be considered in a prioritized order by projecting task velocities through the nullspaces of higher priority tasks. This paper extends this framework to handle setbased tasks, i.e. tasks with a range of valid values, in addition to equality tasks, wh… Show more

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Cited by 24 publications
(28 citation statements)
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References 23 publications
(34 reference statements)
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“…If the USV is outside the radius R m , path following is always active. However, in agreement with the method in [18], we allow the path following mode to be active inside R m under the condition that this will increase or maintain the current distance between the obstacle center and the USV, i.e. iḟ σ ≥ 0 with u = u pf and ψ = ψ pf .…”
Section: Set-based Guidancementioning
confidence: 99%
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“…If the USV is outside the radius R m , path following is always active. However, in agreement with the method in [18], we allow the path following mode to be active inside R m under the condition that this will increase or maintain the current distance between the obstacle center and the USV, i.e. iḟ σ ≥ 0 with u = u pf and ψ = ψ pf .…”
Section: Set-based Guidancementioning
confidence: 99%
“…These two different scenarios are considered the two modes of the system, and we will in the following, based on the set-based control approach [18], develop a method for switching between these two. Note that this approach can be used with any combination of methods for path following and collision avoidance and is not limited to the collision avoidance approach presented in the previous subsection.…”
Section: Set-based Guidancementioning
confidence: 99%
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