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2025-01-25 23:25:15

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created at

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Open Graph

title

description

image

site name

author

updated

2026-01-24 04:46:00

raw text

Redundancy-aware Action Spaces for Robot Learning Redundancy-aware Action Spaces for Robot Learning Pietro Mazzaglia* Nicholas Backshall* Xiao Ma Stephen James * equal contribution Article Code Abstract Joint space and task space control are the two dominant action modes for controlling robot arms within the robot learning literature. Actions in joint space provide precise control over the robot's pose, but tend to suffer from inefficient training; actions in task space boast data-efficient training but sacrifice the ability to perform tasks in confined spaces due to limited control over the full joint configuration. This work analyses the criteria for designing action spaces for robot manipulation and introduces ER ( E nd-effector R edundancy), a novel action space formulation that, by addressing the redundancies present in the manipulator, aims to combine the advantages of both joint and task spaces, offering fine-grained comprehensive contr...

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