5. Collective Learning and Adaptation
The swarm uses a complex collective learning system that, by shared experiences, promotes ongoing development. Sharing sensor data, interaction results, ambient information, each robot dog adds to a distributed knowledge base. This collective intelligence enables the swarm to quickly adjust to new circumstances and create creative answers to hitherto unanticipated problems. The technology uses sophisticated algorithms to spot trends across several missions and settings, therefore allowing the swarm to forecast and get ready for possible difficulties before they develop. This adaptive capacity guarantees that the experiences of individual units help the whole swarm.
zi ang