This　study　deals　with　the　problem　of　gain-scheduled　robust　control　for　multi-agent　linear　parameter　varying　(LPV)　systems　with　or　without　communication　delays.　The　system　matrices　are　assumed　to　depend　on　the　scheduling　parameters,　which　are　supposed　to　be　time-varying　within　a　priori　known　bounds.　First,　a　linear　transformation　matrix　is　constructed　from　the　directed　spanning　tree　of　the　communication　topology　of　the　agents,　which　equivalently　transforms　the　robust　consensus　control　problem　of　multi-agent　LPV　systems　into　the　robust　stability　problem　of　a　set　of　parameter-dependent　systems.　What＇s　more,　the　effect　of　the　time-varying　communication　delays　is　considered,　and　consensus　condition　in　terms　of　linear　matrix　inequalities　(LMIs)　is　derived　by　using　the　parameter-dependent　Lyapunov-Krasovskii　approach.　Then,　the　control　gain　matrices　are　obtained　through　solving　a　convex　optimization　problem.　Finally,　a　numerical　example　is　provided　to　illustrate　the　effectiveness　of　the　proposed　method.