With the rapid advancement of science and technology, the development of micro-robot technology has gradually attracted widespread attention. This field focuses on independent robotic systems that do not require centralized control. The collective behavior of these robots often mimics that of social animals in nature, such as insects and ants. How does this critical behavior come about? The key lies in the interaction between individual robots and the environment, as well as the communication and feedback between robots.
Only by following simple rules can countless robots exhibit amazingly complex behaviors. This is the charm of collective intelligence.
The principles of collective intelligence are crucial when designing swarm robotics systems, which promote fault tolerance, scalability, and flexibility. Compared with general decentralized robotic systems, swarm robotic systems emphasize the use of a large number of robots. Several key features of such a system include:
In addition, miniaturization is also a key factor in the design of swarm robots. Thousands of small robots can maximize the way collective intelligence works, achieving meaningful behaviors through large numbers of individual interactions. Compared with a single robot, a swarm can better decompose tasks and improve the robustness and flexibility of tasks.
The term swarm robotics first appeared in academia in 1991, but research in this area did not grow rapidly until the early 2000s. The initial research aimed to test the concept of "Stigmeister" and see how robots could use their indirect interactions to coordinate actions. The SWARM-BOTS project, funded by the European Commission between 2001 and 2005, was one of the important early international swarm robotics projects. The research team developed independently connected robots and used them to study behaviors such as collective transportation and range coverage.
As the research deepened, this robot team gradually demonstrated the characteristics of self-organization and its ability to collaboratively solve complex tasks increased.
The application prospects of swarm robotics technology are broad, including distributed sensing tasks of micro-robots, search and rescue missions, agricultural grazing, etc. For example, when humans cannot safely reach certain dangerous areas, robots can be sent to these places to explore unknown environments and use built-in sensors to solve complex maze problems.
In addition, drone swarms have also shown their potential in target search, night light shows, package delivery and other fields. Drone swarms can work together to reduce overall energy consumption. As robot swarms of varying sizes develop, we are also beginning to explore their military applications, such as the U.S. Navy’s automated warships that have conducted autonomous navigation and attack tests.
As microtechnology advances, there are now several examples of microrobots, including Harvard University's Kilobot, which consists of 1,024 individual robots and is the largest swarm robotics project to date. In addition, research teams from the University of Michigan and the University of Washington recently demonstrated a swarm of sound-based micro-robots that can collaborate to change the surrounding sound environment, bringing new application prospects to smart speakers.
These microrobots not only demonstrate the potential of cutting-edge technology, but their enhanced capabilities also prompt us to think in new ways about future automated systems.
Currently, swarm robot research is still in a stage of continuous evolution and may change our work, life and environment in various fields in the future. How these micro-robots can cooperate in various scenarios and even simplify production in complex manufacturing processes and large-scale infrastructure are topics worthy of attention in the future.
However, in such an era of rapid technological development, the application and behavior of microrobots have also caused people to think: In the future society, how will the boundary between humans and machines be defined?