# Control Strategies for Mobile Robot With Obstacle Avoidance

arXiv: https://arxiv.org/abs/1306.1144 · HTML: https://mlsanity.com/paper/1306.1144/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jun 2013.

## Built on by (most cited first, 1 of 1)

- [Robot path planning using deep reinforcement learning](https://mlsanity.com/paper/2302.09120/) (2023)

## Abstract (arXiv)

Obstacle avoidance is an important task in the field of robotics, since the goal of autonomous robot is to reach the destination without collision. Several algorithms have been proposed for obstacle avoidance, having drawbacks and benefits. In this survey paper, we mainly discussed different algorithms for robot navigation with obstacle avoidance. We also compared all provided algorithms and mentioned their characteristics; advantages and disadvantages, so that we can select final efficient algorithm by fusing discussed algorithms. Comparison table is provided for justifying the area of interest