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

arXiv: https://arxiv.org/abs/2307.00666 · HTML: https://mlsanity.com/paper/2307.00666/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 3 references that are in the map.
- First posted on arXiv 2 Jul 2023.

## Builds on (most cited first, 1 of 1)

- [Segment Anything](https://mlsanity.com/paper/2304.02643/) (2023)

## Built on by (most cited first, 2 of 2)

- [Revisit Anything: Visual Place Recognition via Image Segment Retrieval](https://mlsanity.com/paper/2409.18049/) (2024)
- [Hierarchical end-to-end autonomous navigation through few-shot waypoint detection](https://mlsanity.com/paper/2409.14633/) (2024)

## Abstract (arXiv)

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.