Mobile robot applications can be found in various fields like mining, military operations, warehouses, underwater exploration, production lines, etc. DAYKUN-BIP method is a novel navigational approach for smooth and trouble-free robot movement that has been proposed in this paper. DAYKUN-BIP virtual target displacement (DVTD) method is initiated when a robot cannot discover a viable route to move. When the robot's sensors detect any potential barrier, several virtual goals are created surrounding the real goal. The safest path is then calculated by assigning appropriate weightage to each goal line using selected factors and visualising the most viable route. The v-REP software platform is used for simulation work, backed with real-time laboratory experiments. Positive coordination is noticed between the simulation and experimental results, as the deviation is less than 5%. Finally, the robot achieves the goal in each workspace without any conflict. Further, the proposed technique is compared with existing technique and average improvements of 12.76% and 15.45% are observed in path length and time consumption respectively. In other words, it can be said that the proposed approach gives optimized path for navigation with better control.