论文标题
通过使用数字双胞胎来解决通过弹性机器人技术应对非干预挑战
Addressing Non-Intervention Challenges via Resilient Robotics utilizing a Digital Twin
论文作者
论文摘要
多机器人系统经常在危险环境中部署，在减少人体干预方面面临挑战。因此，有必要包括一种评估机器人失败率的方法，以减少昂贵的人类干预要求。解决此问题的解决方案包括具有共同努力以确保任务弹性的能力的机器人。为了防止这种干预，机器人应该能够共同努力以确保任务弹性。但是，机器人平台通常缺乏与不同供应商的其他平台的内置互连性。这项工作旨在通过双向数字双胞胎实现功能来解决此问题。双胞胎使人类操作员能够向多机器人舰队传输和接收信息。这个数字双胞胎认为任务的弹性和自主和人为领导的决策，以使多机器人的弹性能够弹性。这创建了各种机器人的合作，佐证和协作，以利用机器人的能力并支持失败的机器人的恢复。
Multi-robot systems face challenges in reducing human interventions as they are often deployed in dangerous environments. It is therefore necessary to include a methodology to assess robot failure rates to reduce the requirement for costly human intervention. A solution to this problem includes robots with the ability to work together to ensure mission resilience. To prevent this intervention, robots should be able to work together to ensure mission resilience. However, robotic platforms generally lack built-in interconnectivity with other platforms from different vendors. This work aims to tackle this issue by enabling the functionality through a bidirectional digital twin. The twin enables the human operator to transmit and receive information to and from the multi-robot fleet. This digital twin considers mission resilience and autonomous and human-led decision making to enable the resilience of a multi-robot fleet. This creates the cooperation, corroboration, and collaboration of diverse robots to leverage the capability of robots and support recovery of a failed robot.
