Efficient Balancing A* Search for Multi-robot CollaborationWith Blockchain Consensus
PROCEEDINGS OF THE 5TH ACM INTERNATIONAL SYMPOSIUM ON BLOCKCHAIN AND SECURE CRITICAL INFRASTRUCTURE, ACM BSCI 2023(2023)
摘要
The multiple target point search is an important and universal problem in multi-robot systems. However, many traditional multi-robot systems can not ensure the reliability of collaboration and can not be able to avoid robot collision accident causing huge economic losses, due to lack of efficient multi-robot point to point (P2P) communication, data security protection and error handling mechanism, and lack of considering the equilibrium of multi-target point search task allocation mechanism. To solve this problem, in this paper, we propose an efficient multi-robot collaboration mechanism method based on blockchain consensus and balancing allocation of multi-target search tasks. At first, for a given scale size of multi-robot and multiple target search tasks, we ensure the data information consistency between distributed multiple robots, the data security and collaboration reliability through utilizing blockchain consensus. Then, we put forward a novel robot search task allocation balancing mechanism to avoid the reduction of overall collaboration performance due to excessive time and too long of some robot search tasks. Finally, we implement a multi-robot collaboration simulation system and the result of a lot of simulation experiments demonstrates the effectiveness of our method.
更多查看译文
关键词
Blockchain,PBFT Consensus,Multi-robot collaboration,Multi-path planning,Multi-target Search
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要