Behavioral　imitation　is　one　of　the　important　technologies　for　robots　to　show　their　intelligence.　How　to　make　the　behaviors　and　actions　imitated　by　robots　similar　to　the　demonstrating　actions　of　human　has　become　a　hot　research　topic.　In　this　paper,　we　design　an　improved　robot　behavior　modeling　framework　based　on　simple　method.　The　framework　collects　teaching　action　using　normal　monocular　camera,　and　introduces　behavior　semantic　recognition　module　and　key　action　extraction　module　into　the　simple　method.　The　framework　enables　robots　to　understand　instructor＇s　behavior　semantics　and　then　imitate　instructor＇s　behaviors.　Finally,　this　framework　is　deployed　on　the　HBE-ROBONOVA-AI　II　humanoid　robot　platform,　and　experiments　are　conducted　using　independently　collected　single-person　action　video　data　as　input.　Compared　with　the　experimental　results　of　other　mainstream　frameworks,　this　framework　works　with　more　excellent　comprehensive　performance　in　three　aspects　of　accuracy,　balance　and　similarity,　and　demonstrates　a　unique　cognitive　ability　to　instructor＇s　behaviors.　©　2022,　Editorial　Office　of　Journal　of　Applied　Sciences.　All　right　reserved.