Currently,　bipedal　wheeled-leg　robots　are　considered　to　have　significant　potential　for　various　applications.　Current　research　lacks　an　in-depth　study　of　the　performance　of　bipedal　wheeled-leg　robots　in　high-wind　conditions.　However,　researching　robots　in　such　conditions　is　crucial　for　their　application　in　outdoor　environments,　such　as　disaster　rescue.　Therefore,　enhancing　the　balance　performance　of　these　robots　to　improve　their　mobility　in　complex　environments　is　crucial.　This　paper　explores　the　jumping　performance　of　bipedal　wheeled-leg　robots　in　strong　wind　conditions　and　proposes　a　method　for　optimizing　the　robot＇s　jumping　trajectory　using　a　genetic　algorithm.　This　approach　enables　the　robot　to　successfully　perform　jumps　and　maximize　the　jump　distance　even　in　windy　environments.　To　make　the　simulation　environment　more　realistic,　a　detailed　simulation　of　strong　wind　conditions　was　conducted,　where　a　function　was　established　to　model　the　variation　in　wind　force　on　the　robot＇s　surface　under　different　tilt　angles　during　a　jump.　Additionally,　the　maximum　torque　limitations　of　the　motors　and　the　weight　of　the　electromechanical　components　were　taken　into　account.　Ultimately,　successful　jumps　were　achieved　in　windy　conditions,　with　a　great　improvement　in　jump　distance　compared　to　before　optimization.　　©　2024　Copyright　held　by　the　owner/author(s).