3D　concrete　printing　(3DCP)　has　attracted　significant　attention　due　to　the　benefits　of　enhanced　productivity　and　sustainability.　However,　existing　3DCP　techniques　face　challenges　of　automation　and　practicality　in　integrating　conventional　rebar　reinforcement　with　printed　concrete　structures.　This　study　presents　an　automated　robot　system　coupled　with　Building　Information　Modeling　(BIM)　to　address　the　challenge.　Dynamo　scripts　in　BIM　were　used　to　generate　printing　paths,　further　optimised　by　a　proposed　algorithm　for　incorporating　rebar　reinforcement.　A　deep　learning　model　was　adopted　to　identify　rebars　with　large　aspect　ratios.　The　average　accuracy　of　rebar　recognition　is　92.5%,　with　a　position　error　within　2　mm.　A　centralised　control　system　was　developed　for　multiple-device　communication,　including　a　camera,　a　robot　arm,　and　a　gripper.　Finally,　a　real-time　demonstration　was　conducted,　representing　the　first　practical　demonstration　of　an　automated　robotic　system　to　integrate　rebar　reinforcement　with　printed　structures　using　BIM-generated　data　in　the　physical　world.