Chassis　structures　have　a　fundamental　influence　on　the　stability　of　self-balancing　unicycles.　This　paper　documents　how　using　generative　design　can　improve　the　robotic　system’s　stability　and　reduce　the　overall　mass　compared　to　the　conventional　designs.　The　chassis　structure　is　divided　into　seven　parts　for　stress　analysis.　According　to　the　results　from　the　stress　analysis,　loading　conditions　and　constraints　can　be　set　for　the　generative　studies.　The　ideal　solutions　were　chosen　based　on　the　mass-safety　factor　graphs　for　the　most　optimized　geometry.　Stress　analysis　was　then　carried　out　on　Inventor　to　verify　the　model’s　reliability.　To　test　the　controllability　of　the　generative　unicycle,　simulations　were　carried　out　in　Simulink　by　comparing　the　generative　design　with　the　conventional　design.　The　results　showed　that　the　generative　chassis　structure　has　a　higher　center　of　mass　and　lower　mass,　hence　is　easier　to　achieve　balancing　from　an　angular　deviation.　©　2022　SPIE.