The control problems of robots having both dynamical parameter uncerta
inties and unknown input scalings are addressed. By appropriately defi
ning the parameters of interest and the corresponding regressor, an ad
aptive control law is presented by exploiting the structural propertie
s of the resulting dynamical models. It is shown that the tracking err
ors converge to zero and all the signals in the closed-loop system are
bounded. Even though the input scalings are unknown, there is no need
to adapt them because of the particular controller structure introduc
ed here. Due to the introduction of the input scalings, uncertainties
in the transformation mechanisms of robots are allowed. Copyright (C)
1996 Elsevier Science Ltd.