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System and method for assisted link prediction mechanism in robotic communications

机译:机器人通信中辅助链接预测机制的系统和方法

摘要

Robotic applications are important in both indoor and outdoor environments. Establishing reliable end-to-end communication among robots in such environments are inevitable. Many real-time challenges in robotic communications are mainly due to the dynamic movement of robots, battery constraints, absence of Global Position System (GPS), etc. Systems and methods of the present disclosure provide assisted link prediction (ALP) protocol for communication between robots that resolves real-time challenges link ambiguity, prediction accuracy, improving Packet Reception Ratio (PRR) and reducing energy consumption in-terms of lesser retransmissions by computing link matrix between robots and determining status of a Collaborative Robotic based Link Prediction (CRLP) link prediction based on a comparison of link matrix value with a predefined covariance link matrix threshold. Based on determined status, robots either transmit or receive packet, and the predefined covariance link matrix threshold is dynamically updated. If the link to be predicted is unavailable, the system resolves ambiguity thereby enabling communication between robots.
机译:机器人应用在室内和室外环境中都很重要。在这种环境下,在机器人之间建立可靠的端到端通信是不可避免的。机器人通信中的许多实时挑战主要是由于机器人的动态运动,电池限制,缺少全球定位系统(GPS)等。本公开内容的系统和方法提供了辅助链路预测(ALP)协议,用于之间的通信通过计算机器人之间的链路矩阵并确定基于协作机器人的链路预测(CRLP)链路的状态来解决实时挑战的机器人,可以解决链路歧义,预测准确性,提高数据包接收率(PRR)并降低能耗的情况,减少重传次数基于链接矩阵值与预定义的协方差链接矩阵阈值的比较的预测。根据确定的状态,机械手会发送或接收数据包,并且动态更新预定义的协方差链接矩阵阈值。如果要预测的链接不可用,则系统会解决歧义,从而启用机器人之间的通信。

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