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ROS/MoveIt! extension for redundancy resolution with dynamic programming

Authors: Enrico Ferrentino; Federico Salvioli;

ROS/MoveIt! extension for redundancy resolution with dynamic programming

Abstract

First public release of the software comprising the main libraries and support packages for running demos on a 4R planar robot and a 7R spatial robot. More documentation on the algorithm and underlying methodology can be found at Ferrentino, E.; Salvioli, F.; Chiacchio, P. Globally Optimal Redundancy Resolution with Dynamic Programming for Robot Planning: A ROS Implementation. Robotics 2021, 10, 42. https://doi.org/10.3390/robotics10010042 If you are using this code for your work, please cite the paper above.

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Keywords

dynamic programming, industrial manipulator, inverse kinematics, ROS, trajectory planning, redundancy resolution, redundant robot

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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