Obstacle avoidance

This technology plays a pivotal role in various fields, including industrial automation, self-driving cars, drones, and even space exploration.

Obstacle avoidance enables robots to operate safely and efficiently in dynamic and complex environments, reducing the risk of collisions and damage.

All of this is done and carried out in real-time and can be practically and effectively used in most applications of obstacle avoidance[1][2] While this method works well under most circumstances, there are such where more advanced techniques could be useful and appropriate for efficiently reaching an endpoint.

These algorithms help the robot find the quickest path to reach its goal while avoiding collisions, all in real time.

With artificial intelligence (AI), an autonomous machine can figure out a path to get to its destination, but can also learn to adapt to a rapidly changing environment at the same time.

This form of obstacle avoidance is especially good in autonomous vehicles as it removes possible human errors that can occur.