In this paper, two adaptive fuzzy robot control algorithms, which empl
oy tracking errors of the joint motion to drive the parameter adaptati
on, are derived. The predominant concern of the adaptation laws is to
reduce the tracking errors. In particular, they require no feedback of
joint accelerations. These adaptive controllers do not require the ex
act robot dynamics but only the boundary of the dynamics. Theoretical
results and simulation studies on a two-link robot manipulator show th
at these adaptive fuzzy robot controllers ave robust and stable.