Fuzzy logic has been utilized at several hierarchical levels of a typi
cal robotic control system. Four broad levels of application may be id
entified - task design, system monitoring (including self-tuning and s
elf-organization), information filtering and preprocessing, and in-loo
p direct control. Even though the need for fuzzy logic is felt mostly
at upper levels of the control system, the present applications are ma
inly concentrated within the lowest level perhaps driven by convenienc
e rather than necessity. This paper surveys several applications of fu
zzy logic in the control of robotic manipulators. Applications are gro
uped into four hierarchical categories, broadly corresponding to an ex
isting architecture of a robotic control system. Such a classification
can be beneficial in ascertaining the appropriateness of fuzzy logic
for the specific control task.