Self-positioning　and　goal-oriented　navigation　behaviors　in　complex　and　variable　environments　are　important　capabilities　that　mammals　rely　on　for　survival　in　the　natural　world.　To　this　end,　this　article　proposes　a　robot　navigation　model　with　bioinspired　environmental　cognition　and　autonomous　localization　capabilities　based　on　the　spatial　cognitive　mechanism　of　the　hippocampus　in　the　rat　brain.　The　model　constructs　a　cognitive　map　by　integrating　its　own　motion　cues　and　visual　observation　features,　and　uses　the　dynamic　predictive　relationship　between　each　location　cognitive　node　to　achieve　a　goaloriented　navigation　process.　The　research　approach　in　this　article　will　provide　inspirational　implications　for　a　robot　navigation　approach　with　brain-like　cognitive　mechanisms.