feat: Integrate min distance#167
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Co-authored-by: Dominic Reber <71256590+domire8@users.noreply.github.com>
…nology/control-libraries into feat/collision-detection-robot
domire8
reviewed
Mar 19, 2024
…ogy/control-libraries into feat/integrate-min-distance
domire8
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Mar 19, 2024
Co-authored-by: Dominic Reber <71256590+domire8@users.noreply.github.com>
domire8
reviewed
Apr 2, 2024
Co-authored-by: Dominic Reber <71256590+domire8@users.noreply.github.com>
…ogy/control-libraries into feat/integrate-min-distance
domire8
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Wrong format in Model.cpp and test_collisions.cpp. You can select the changes you made and then right click and Format Selection in the devcontainer
eeberhard
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Looking very good! Just some nitpicks
Co-authored-by: Enrico Eberhard <32450951+eeberhard@users.noreply.github.com>
…ogy/control-libraries into feat/integrate-min-distance
eeberhard
previously approved these changes
Apr 8, 2024
…ogy/control-libraries into feat/integrate-min-distance
domire8
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Description
This PR solves the issue by calculating the minimum distance between every robot link and return a matrix sized
number of jointsbynumber of jointswhere at element(i, j), it contains the minimum distance betweenlink iandlink j. In addition to that, it also implements the pybindings to expose this method through python and accordingly will return a numpy array.Review guidelines
Estimated Time of Review: 7 minutes
Checklist before merging: