A　special　type　of　iterative　learning　control　(ILC)　problem　is　considered,　which　deals　with　the　point-to-point　control　of　robots.　Fuzzy　control　design　method　is　introduced　to　solving　the　special　iterative　learning　control　problem.　First,　the　Takagi-Sugeno　(TS)　fuzzy　model　is　employed　to　approximate　a　robot　system.　Next,　based　on　the　fuzzy　model,　a　fuzzy　iterative　learning　controller　design　is　carried　out　via　the　so-call　parallel　distributed　compensation　(PDC)　approach.　To　avoid　the　necessity　of　exactly　reinitializing　the　system　at　each　iteration,　the　basic　method　is　modified　so　as　to　obtain　a　cyclic　iterative　learning　controller.　Finally,　simulation　results　for　the　repositioning　control　of　one　link　robot　moving　on　a　vertical　plane　are　presented　to　demonstrate　the　effectiveness　of　the　proposed　scheme.