A　reputation　management　system　with　identity　authentication　and　task　supervisor　(RMS-IATS)　for　swarm　robotics　via　blockchain　technology　is　proposed　to　identify　Byzantine　robots　within　the　swarm　robotics　and　avoid　the　security　threat　caused　by　Byzantine　robots　to　swarm　robotics.　Firstly,　a　classical　blockchain-based　swarm　robotics　reputation　management　system　(RMS)　is　improved　by　introducing　penalty　factors,　and　a　severer　reputation　value　penalty　is　imposed　on　the　robotics　with　long-term　Byzantine　behavior.　Secondly,　to　speed　up　the　identification　of　Byzantine　robots　within　swarm　robotics,　an　identity　authentication　protocol　is　devised,　and　thus　lower　initial　reputation　scores　are　assigned　to　the　robots　with　unauthorized　identities.　Next,　a　dual-layer　communication　network　for　communication　between　robots　is　designed　to　solve　the　communication　latency　issue　caused　by　blockchain　in　the　swarm　robotics　system.　Finally,　the　feasibility　of　the　proposed　blockchain-based　RMS-IATS　and　dual-layer　communication　network　is　proved　through　simulations.　The　identification　time　for　different　types　of　Byzantine　robots　is　shortened　by　RMS-IATS　compared　with　the　classical　RMS　for　swarm　robotics,　and　the　maximum　communication　latency　of　the　system　is　reduced　by　the　proposed　dual-layer　communication　network　compared　with　the　blockchain.　©　2024　Science　Press.　All　rights　reserved.