Designing and implementing an autonomous robot needs a lot of work. The biggest challenge of an autonomous robot is being movement and navigation and how to achieve objectives.

An autonomous robot runs on its own accord. This is challenging because we need to make our robot decide how it moves. From an artificial intelligence perspective, we can classify two models: supervised and unsupervised.

A supervised autonomous robot requires some objectives or guidelines to achieve its goals. On the other hand, an unsupervised autonomous robot can learn from its experiences and then make own decision based on certain conditions.

To build an autonomous robot for movement and navigation, we can design our algorithm as follows:

Before starting, a robot will initialize all parameters included for its sensors and motors. Then, we'll start by moving it in a random direction. While moving, the robot may detect an obstacle. If one is found, the robot will change direction.

In this scenario, we aren't defining the the goal of the autonomous robot. An example goal could be if it finds a star sign, the robot should stop and power off. You can define your own decisions and goals.