  This paper presents a study on the development of an obstacle-avoidance
navigation system for autonomous navigation in home environments. The system
utilizes vision-based techniques and advanced path-planning algorithms to
enable the robot to navigate toward the destination while avoiding obstacles.
The performance of the system is evaluated through qualitative and quantitative
metrics, highlighting its strengths and limitations. The findings contribute to
the advancement of indoor robot navigation, showcasing the potential of
vision-based techniques for real-time, autonomous navigation.
