In　this　paper　we　consider　the　problem　of　controlling　the　dynamic　behavior　of　the　robot　agents　while　collaborating　with　the　human　worker.　The　presented　dynamic　behavior　control　method　leads　to　achieving　optimized　interaction　performance　of　the　human-multi-robot　collaboration　system.　We　investigate　in　depth　the　dynamics　equation　of　the　robot　agents　collaborating　with　the　human　worker.　Considering　the　unknown　parameters　in　the　system　dynamics,　the　adaptive　dynamic　programming　method　is　utilized　to　deal　with　the　optimized　interaction　control　problems　during　human-multi-robot　collaboration　process.　To　achieve　the　coordination　of　the　multi　robot　agents,　multi-agent　adaptive　dynamic　programming　method　is　employed　in　this　paper.　The　neural　networks　with　one　hidden　layer　are　utilized　to　approximate　both　the　unknown　system　dynamics　as　well　as　the　optimized　cost　function.　The　simulation　studies　verify　the　effectiveness　of　the　presented　algorithm.　Copyright　©　2020　The　Authors.　This　is　an　open　access　article　under　the　CC　BY-NC-ND　license　(http://creativecommons.org/licenses/by-nc-nd/4.0)