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Identification of Fully Physical Consistent Inertial Parameters using Optimization on Manifolds

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This paper presents a new condition, the fully physical consistency for a set of inertial parameters to determine if they can be generated by a physical rigid body. The proposed condition ensure both the positive definiteness and the triangular inequality of 3D inertia matrices as opposed to existing techniques in which the triangular inequality constraint is ignored. This paper presents also a new parametrization that naturally ensures that the inertial parameters are fully physical consistency. The proposed parametrization is exploited to reformulate the inertial identification problem as a manifold optimization problem, that ensures that the identified parameters can always be generated by a physical body. The proposed optimization problem has been validated with a set of experiments on the iCub humanoid robot.

Silvio Traversaro, Stanislas Brossette, Adrien Escande, Francesco Nori• 2016

Related benchmarks

TaskDatasetResultRank
Inverse Dynamics IdentificationHyQReal2 (train)
NMSE13
20
Inverse Dynamics IdentificationHyQReal2 (test)
NMSE14.8
20
Inverse Dynamics IdentificationSPOT (test)
NMSE7.6
20
Inverse Dynamics IdentificationSpot with Arm (train)
NMSE14.5
20
Inverse Dynamics IdentificationTalos (train)
NMSE17.5
20
Inverse Dynamics IdentificationTalos (test)
NMSE16.4
20
Inverse Dynamics IdentificationMulti-Robot Aggregate Real and Simulated
rNMSE0.266
20
Inverse Dynamics IdentificationSpot with Arm (test)
NMSE11
20
Inverse Dynamics IdentificationSpot (train)
NMSE10.2
20
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