Decentralized parameter estimation and observation for cooperative mobile manipulation of an unknown load using noisy measurements

Abstract

In this paper, a distributed approach for the estimation of kinematic and inertial parameters of an unknown rigid body is presented. The body is manipulated by a pool of ground mobile manipulators. Each robot retrieves a noisy measurement of its velocity and the contact forces applied to the body. Kinematics and dynamics arguments are used to distributively estimate the relative positions of the contact points. Subsequently, distributed estimation filters and nonlinear observers are used to estimate the body mass, the relative position between its geometric center and its center of mass, and its moment of inertia. The manipulation strategy is functional to the estimation process, and is suitably designed to satisfy nonlinear observability conditions that are necessary for the success of the estimation. Numerical results corroborate our theoretical findings.


Autore Pugliese

Tutti gli autori

  • Franchi A.; Petitti A.; Rizzo A.

Titolo volume/Rivista

Proceedings - IEEE International Conference on Robotics and Automation


Anno di pubblicazione

2015

ISSN

1050-4729

ISBN

Non Disponibile


Numero di citazioni Wos

Nessuna citazione

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Settori ERC

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Codici ASJC

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