Real-time Vision-based Navigation for a Robot in an Indoor Environment

TL;DR

This paper develops a vision-based obstacle avoidance system for indoor robots, demonstrating real-time autonomous navigation capabilities through advanced path planning and evaluation in home environments.

Contribution

It introduces a novel vision-based navigation system with integrated obstacle avoidance and path planning tailored for indoor autonomous robots.

Findings

Effective obstacle avoidance in real-time

High navigation accuracy in indoor environments

Identified limitations in complex obstacle scenarios

Abstract

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.