Wisama Khalil
École centrale de Nantes
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Featured researches published by Wisama Khalil.
international conference on robotics and automation | 1986
Wisama Khalil; Jean-François Kleinfinger
This paper presents a new geometric notation for the description of the kinematic of open-loop, tree and closed-loop structure robots. The method is derived from the well-known Denavit and Hartenberg (D-H) notation, which is powerful for serial robots but leads to ambiguities in the case of tree and closed-loop structure robots. The given method has all the advantages of D-H notation in the case of open-loop robots.
international conference on robotics and automation | 1990
Maxime Gautier; Wisama Khalil
The determination of the minimum set of inertial parameters of robots contributes to the reduction of the computational cost of the dynamic models and simplifies the identification of the inertial parameters. These parameters can be obtained from the classical inertial parameters by eliminating those that have no effect on the dynamic model and by regrouping some others. A direct method is presented for determining the minimum set of inertial parameters of serial robots. The method permits determination of most of the regrouped parameters by means of closed-form relations. >
The International Journal of Robotics Research | 1992
M. Gautier; Wisama Khalil
A common way to identify the inertial parameters of robots is to use a linear model in relation to the parameters and standard least-squares (LS) techniques. This article presents a method to generate exciting identification trajectories in order to minimize the effect of noise and error modeling on the LS solution. Using nonlinear optimization techniques, the condition number of a matrix W obtained from the energy model is minimized, and the scaling of its terms is carried out. An example of a three-degree-of-freedom robot is presented.
international conference on robotics and automation | 1999
Wisama Khalil; Sébastien Besnard
Presents a method for the autonomous calibration of six degrees-of-freedom parallel robots. The calibration makes use of the motorized prismatic joint positions corresponding to some sets of configurations where in each set either a passive universal joint or a passive spherical joint is fixed using a lock mechanism. Simulations give us an idea about the number of sets that must be used, the number of configurations by set and the effect of noise on the calibration accuracy. The main advantage of this method is that it can be executed rapidly without need to external sensors to measure the position or the orientation of the mobile platform.
IEEE Transactions on Robotics | 2004
Wisama Khalil; Sylvain Guegan
This paper presents closed-form solutions for the inverse and direct dynamic models of the Gough-Stewart parallel robot. The models are obtained in terms of the Cartesian dynamic model elements of the legs and of the Newton-Euler equation of the platform. The final form has an interesting and intuitive physical interpretation. The base inertial parameters of the robot, which constitute the minimum number of inertial parameters, are explicitly determined. The number of operations to compute the inverse and direct dynamic models are given.
Robotica | 1997
Wisama Khalil; Denis Creusot
This paper presents the software package SYMORO+ for the automatic symbolic modelling of robots. This package permits to generate the direct geometric model, the inverse geometric model, the direct kinematic model, the inverse kinematic model, the dynamic model, and the inertial parameters identification models.The structure of the robots can be serial, tree structure or containing closed loops. The package runs on Sun stations and PC computers, it has been developed under MATHEMATICA and C language. In this paper we give an overview of the algorithms used in the different models; the computational cost of the dynamic models of the PUMA robot are given.
international conference on robotics and automation | 1988
Maxime Gautier; Wisama Khalil
A direct method is presented to determine the minimum set of inertial parameters of robots. The set consists of the classical parameters that affect the dynamic model and the regrouped parameters. The method permits to most of the regrouped parameters to be determined by means of a closed-form function of the geometric parameters of the robot. It is proved that the minimum number of inertial parameters is less than 7n-4, where n is the number of joints. The method is general whatever the values of the geometric parameters. The method can be extended to tree structure robots and will be integrated into the software package SYMORO.<<ETX>>
Journal of Intelligent and Robotic Systems | 2007
Wisama Khalil; Ouarda Ibrahim
In this paper, we present a general method to calculate the inverse and direct dynamic models of parallel robots. The models are expressed in a closed form by a single equation in which all the elements needed are expressed. The solution is given in terms of the dynamic models of the legs, the dynamics of the platform and some Jacobian matrices. The proposed method is applied in this paper on two parallel robots with different structures.
international conference on robotics and automation | 2001
Sébastien Besnard; Wisama Khalil
Presents a numerical method for the determination of the identifiable parameters of parallel robots. The special case of Stewart-Gough 6 degrees-of-freedom parallel robots is studied for classical and self calibration methods, but this method can be generalized to any kind of parallel robot. The method is based on QR decomposition of the observation matrix of the calibration system. Numerical relations between the parameters which are identified and those which are not identifiable can be obtained for each method.
international conference on robotics and automation | 1999
Sébastien Besnard; Wisama Khalil
Presents a method for the kinematic calibration of six degrees of freedom parallel robots using two inclinometers. The calibration model takes into account the error on the angle between the inclinometers axes. The estimation of the parameters is carried out using the Levenberg-Marquardt algorithm. The number of configurations needed and the effect of noise on sensors data are studied using simulations.
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Institut de Recherche en Communications et Cybernétique de Nantes
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