首页|Data on Robotics Described by Researchers at University of Modena and Reggio Emilia (Directed Graph Topology Preservation in Multi- Robot Systems With Limited Field of View Using Control Barrier Functions)
Data on Robotics Described by Researchers at University of Modena and Reggio Emilia (Directed Graph Topology Preservation in Multi- Robot Systems With Limited Field of View Using Control Barrier Functions)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
IEEE
New research on robotics is the subject of a new report. According to news originating from Modena, Italy, by NewsRx editors, the research stated, “This paper addresses the crucial challenge of maintaining the directed graph topology in multi-robot systems, particularly when operating under limited field-of-view constraints and with a lack of communication among robots.” Funders for this research include Technology Innovation Institute. The news reporters obtained a quote from the research from University of Modena and Reggio Emilia: “Traditional methods for multi-robot coordination rely heavily on inter-robot communication, which may not always be feasible, particularly in constrained or hostile environments. Our work presents a novel distributed control algorithm that leverages Control Barrier Functions (CBFs) to maintain the graph topology of a multi-robot system based solely on local, onboard sensor data. This approach is particularly beneficial in situations where external communication channels are disrupted or unavailable. The key contributions of this research are threefold: First, we design a novel control algorithm that efficiently maintains the graph topology in multi-robot systems using CBFs, which operate on neighbor detection data. Second, we perform an experimental evaluation of the algorithm, demonstrating its efficacy in controlling the flight of a team of drones using only local robot data.”
University of Modena and Reggio EmiliaModenaItalyEuropeAlgorithmsEmerging TechnologiesMachine LearningRobotRobotics
NETL
NSTL
IEEE
