本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2015-02-15
摘要
For robot 群集s to operate outside of the laboratory in complex real-world environments, they require the kind of error tolerance, flexibility, and scalability seen in living systems. While robot 群集s are often designed to mimic some aspect of the behavior of 社會 insects or other organisms, no systems have yet addressed all of these capabilities in a single framework. We describe a 群集 robotics system that emulates ant behaviors, which govern memory, communication, and movement, as well as an 演化ary process that tailors those behaviors into foraging strategies that maximize performance under varied and complex conditions. The system evolves appropriate solutions to different environmental challenges. Solutions include the following: (1) increased communication when sensed 資訊 is reliable and reso
※ 此為已發表論文，全文需透過期刊付費取得