Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164)
DOI: 10.1109/robot.2001.932782
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Manipulability analysis for mobile manipulators

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Cited by 71 publications
(49 citation statements)
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“…The framework presented in this paper can be applied to other mobile systems in a more complete manner than reported in the literature [28,29]. More specifically, the analysis presented extends the concept of force or manipulability ellipsoids [26,34], from the case of a fixed-base robot with end-effector, to a mobile robot without an end-effector.…”
Section: Discussion and Future Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The framework presented in this paper can be applied to other mobile systems in a more complete manner than reported in the literature [28,29]. More specifically, the analysis presented extends the concept of force or manipulability ellipsoids [26,34], from the case of a fixed-base robot with end-effector, to a mobile robot without an end-effector.…”
Section: Discussion and Future Applicationsmentioning
confidence: 99%
“…The second term includes terms produced by velocity and will vanish if the system starts from an equilibrium configuration. This (affine) system of equations is usually interpreted as a force ellipsoid [27][28][29], and it maps a quadratic region in the input space f * to an ellipsoid in the output space of constraint forces * , while the velocity-produced terms will shift the origin of such ellipsoid. In this paper, it is assumed the system starts from equilibrium so that the following linear mapping can be defined…”
Section: Defined Asmentioning
confidence: 99%
“…The calculation of joint velocities is based on the extension of kinematics inversion of manipulators arm to the case of the mobile manipulators. The non-holonomic constraint of the platform is taken into account by introducing the notion of reduced model of transformation ((Foulon, 1998), (Foulon, 1999), (Bayle, 2001a)). So, this formulation permits to include all kinematic constraints in a same model.…”
Section: Behaviour Fusionmentioning
confidence: 99%
“…A first possibility is to use the vector Z to optimize a function depending on the configuration of the system (gradient method) (Bayle, 2001b), (Bayle, 2001a).…”
Section: J Is the Jacobian Matrix And Z Is An Arbitrary Vectormentioning
confidence: 99%
“…The configuration differential kinematic model of the mobile platform is given by ( [9], [10]) (6) cos( ) 0…”
Section: Icsit'05 International Conference On Computer Systems and Imentioning
confidence: 99%