Swarm robots: analysis of concepts, advantages and applications

Swarm robots are self-coordinating systems composed of multiple robots that cooperate to complete common tasks. This technology takes advantage of a "swarm" where each robot plays its own role, ultimately forming a single organism.

Since the emergence of the concept of swarm robots, researchers have identified the main attributes of swarms. Generally speaking, swarms consist of robots of the same type that are able to interact with other partners and the environment using simple sensors. The goal of swarm robots is to solve problems that cannot be solved by a single robot, or to achieve goals more effectively through clusters.

Advantages of swarm robot technology

1. Scalability

2. High fault tolerance

3. Can cover most tasks

4. The cost is lower, because they are basically micro-robots

5. Can perform the same type of operations

What if group robots can be better controlled?

In order to control swarms of robots, it is necessary to create complex distributed systems. Such a system could simplify robot design, making robots more versatile and relatively low-cost. While individual robots have limited intelligence because of limited perception, communication, and computing resources, when they work together with other partner robots, they are able to solve very complex problems.

The capabilities of distributed systems also determine their application fields.

Common applications of swarm robotics

1. Participate in rescue, military and other operations that are dangerous to humans, such as demining, search operations, and cleaning up nuclear or toxic waste;

2. When working in environments where networks and environments are unavailable, such as underwater, space and other environments that are not suitable for direct human entry;

3. Group work is required, such as patrolling terrain, post-disaster rescue, etc.;

Although the cost of group robot technology is relatively low, there are still several difficult problems that need to be overcome in technical implementation. For example, unsupervised group interaction among swarm robots, how individuals respond to local changes and affect the overall situation, all require researchers to improve the algorithm through a large number of artificial intelligence experiments and machine learning training. When these problems are solved, it is no exaggeration to say that swarm robotics will fundamentally change the Internet and real life.

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