test the algorithms under various conditions, and it could also provide a user-friendly interface for constructing robot models and environments.

Matlab is a widely used software development tool in the field of robotics due to its powerful algorithm development capabilities. However, most commercial robot simulators do not support Matlab, which limits the use of Matlab in robot simulation. Therefore, this paper presents a Matlab-based simulator for autonomous mobile robots.

The proposed simulator provides a simple user interface for constructing robot models and indoor environment models, including visual observations for the algorithms to be tested. It also supports different types of sensors, including sonars, cameras, and laser range finders, to simulate various sensing capabilities of real robots.

Experimental results are presented to demonstrate the feasibility and performance of the proposed simulator. The results show that the simulator can accurately simulate the behavior of real robots, and it can be used to test and validate navigation algorithms before testing them on real robots.

In conclusion, the proposed Matlab-based simulator provides a powerful tool for algorithm development and theory research in the field of autonomous mobile robots. It can significantly reduce the programming workload and provide a user-friendly interface for constructing robot models and environments

An Autonomous Mobile Robot Simulator Controlled by Matlab Simulation EnglishA Matlab-based Simulator for Autonomous Mobile Robots AbstractMatlab is a powerful software development tool and can drama

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