%0 Journal Article %1 renders-1991a %A Renders, J. M. %A Rossignol, E. %A Becquet, M. %A Hanus, R. %D 1991 %J IEEE Transactions on Robotics and Automation %K imported %N 6 %P 721--732 %T Kinematic Calibration and Geometrical Parameter Identification for Robots %V 7

@article{renders-1991a, added-at = {2008-03-02T02:12:02.000+0100}, author = {Renders, J. M. and Rossignol, E. and Becquet, M. and Hanus, R.}, biburl = {https://www.bibsonomy.org/bibtex/225d23b002b1873f6845519210c22224b/dmartins}, cites = {Veitschegger-1987?,Cai-1988?,Hollerbach-1988?,An-1988?, Preumont-1989?,Jiang-1989?,Becquet-1988?,Becquet-1988?, Payannet-1985?,Ishii-1986?,Whitney-1986a,Judd-1987?, Stone-1987?,Gilby-1982?,Becquet-1987?,Veitschegger-1986?, Ljung-1987?,Menq-1988?,Roth-1987a}, description = {robotica-bib}, interhash = {9e1184c579beb4d582d9b6e9407f6f00}, intrahash = {25d23b002b1873f6845519210c22224b}, journal = {IEEE Transactions on Robotics and Automation}, keywords = {imported}, notes = {The first claim of this paper is the novel and inexpesive experimental equipment used to collect data for calibration. They review existing techniques for collecting these measurements and then present their own linear guide. The second contribution made is the use of a weighted least squares estimation technique. They form maximum likelihood estimators and develop a recursive algorithm to identify the error parameters. They found that if a sufficiently large number of points is taken, the difference between wieghted and normal least squares estimation is reduced.}, number = 6, pages = {721--732}, quality = {ok}, timestamp = {2008-03-02T02:14:09.000+0100}, title = {Kinematic Calibration and Geometrical Parameter Identification for Robots}, volume = 7, year = 1991 }