51,579 research outputs found
Asymmetric Dual-Arm Task Execution using an Extended Relative Jacobian
Coordinated dual-arm manipulation tasks can be broadly characterized as
possessing absolute and relative motion components. Relative motion tasks, in
particular, are inherently redundant in the way they can be distributed between
end-effectors. In this work, we analyse cooperative manipulation in terms of
the asymmetric resolution of relative motion tasks. We discuss how existing
approaches enable the asymmetric execution of a relative motion task, and show
how an asymmetric relative motion space can be defined. We leverage this result
to propose an extended relative Jacobian to model the cooperative system, which
allows a user to set a concrete degree of asymmetry in the task execution. This
is achieved without the need for prescribing an absolute motion target.
Instead, the absolute motion remains available as a functional redundancy to
the system. We illustrate the properties of our proposed Jacobian through
numerical simulations of a novel differential Inverse Kinematics algorithm.Comment: Accepted for presentation at ISRR19. 16 Page
Regression with Distance Matrices
Data types that lie in metric spaces but not in vector spaces are difficult
to use within the usual regression setting, either as the response and/or a
predictor. We represent the information in these variables using distance
matrices which requires only the specification of a distance function. A
low-dimensional representation of such distance matrices can be obtained using
methods such as multidimensional scaling. Once these variables have been
represented as scores, an internal model linking the predictors and the
response can be developed using standard methods. We call scoring the
transformation from a new observation to a score while backscoring is a method
to represent a score as an observation in the data space. Both methods are
essential for prediction and explanation. We illustrate the methodology for
shape data, unregistered curve data and correlation matrices using motion
capture data from an experiment to study the motion of children with cleft lip.Comment: 18 pages, 7 figure
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