@article{renders-1991a,
	title = {Kinematic Calibration and Geometrical Parameter Identification for
	Robots},
	author = {J. M. Renders and E. Rossignol and M. Becquet and R. Hanus},
	journal = {IEEE Transactions on Robotics and Automation},
	number = {6},
	pages = {721--732},
	volume = {7},
	year = {1991},
	biburl = {http://www.bibsonomy.org/bibtex/225d23b002b1873f6845519210c22224b/dmartins},
	description = {robotica-bib},
	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}, quality = {ok}, 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.},
	keywords = {imported }
}