【标题】Intelligent Robots For Agriculture Robots Development Navigation And Information Perception
【参考中译】农业智能机器人机器人开发导航和信息感知
【类型】 期刊
【作者】 Hadi Almer
【摘要】 This investigation delves into the progress of agricultural robots, with a focus on navigation and information processing. Breakthroughs in technologies like GPS, LiDAR, and computer vision enhance navigation precision and obstacle detection. Sensors offer detailed crop health insights for targeted interventions, while machine learning sharpens decision-making through data analysis. Integration of IoT enables real-time data access, fostering informed actions. These advancements hold the potential to boost efficiency, productivity, and sustainability in agriculture.
【参考中译】 这项调查深入研究了农业机器人的进展，重点关注导航和信息处理。GPS、激光雷达和计算机视觉等技术的突破性进展增强了导航精度和障碍物检测。传感器为有针对性的干预措施提供详细的农作物健康见解，而机器学习则通过数据分析来提高决策水平。物联网的集成实现了实时数据访问，促进明智的行动。这些进步具有提高农业效率、生产力和可持续性的潜力。
【来源】 IOSR journal of mechanical and civil engineering 2024, vol.21, no.3
【入库时间】 2024/11/20
【标题】Motion Reliability Analysis of 6-DOF Industrial Robot
【参考中译】6自由度工业机器人运动可靠性分析
【类型】 会议
【关键词】 Robot end-effectors; Movement reliability; Envelope method; Normal distribution
【参考中译】 机器人末端操纵器;运动可靠性;包封法;正态分布
【作者】 Ding Li; Li Ziyi
【摘要】 To evaluate the accuracy of human-robot interaction, proposed a strategy to calculate the reliability of the motion of the end-effector of a 6-DOF industrial robot in the task space. The envelope method is introduced to analyze the reliability model, which is based on the principle of expressing the envelope function generated by the motion error of the end-effector in a segmented hyperplane approximation, transforming the time-dependent reliability problem into a time-independent reliability problem, and linearizing the error function using Taylor's formula, while eliminating redundant points in the covariance matrix in the calculation process, so that it satisfies the positive definite condition, and improves the envelope accuracy. The simulation example shows that the method has good efficiency and accuracy in reliability model analysis.
【参考中译】 为了评估人与机器人交互的准确性，提出了一种计算6自由度工业机器人末端操纵器在任务空间中运动可靠性的策略。引入包线法来分析可靠性模型，该模型基于将末端效应器运动误差产生的包线函数以分段超平面逼近形式表达，将时间相关可靠性问题转化为时间无关可靠性问题，并利用泰勒公式线性化误差函数，同时在计算过程中消除协方差矩阵中的多余点，使其满足正定性条件，提高了信封精度。仿真实例表明，该方法在可靠性模型分析中具有良好的效率和准确性。
【来源】 Advances in Mechanical Design - The Proceedings of the 2023 International Conference on Mechanical Design (ICMD 2023) 2023 International Conference on Mechanical Design (ICMD 2023)
【标题】Plug-and-Play Software Architecture for Coordinating Multiple Industrial Robots and Sensors from Multiple Vendors
【参考中译】用于协调来自多个供应商的多个工业机器人和传感器的即插即用软件架构
【作者】 Honglu He; Burak Aksoy; Glenn Saunders; John Wason; John T. Wen
【摘要】 Integrating robots from multiple vendors into an automation ecosystem is a challenge that hinders the deployment of industrial automation. The COVID-19 pandemic has added urgency to the need for automation to maintain productivity while observing physical distancing. To address this challenge, we propose a plug-and-play software architecture using Robot Raconteur (RR). Our approach allows quick and seamless integration of disparate sensors and robots into a production system, enabling complex tasks to be performed efficiently. This technology has the potential to transform the robotics revolution in the industry. In this paper, we present a case study that demonstrates the effectiveness of our plug-and-play software architecture. The demonstration includes a plug-and-play smart teachpendant and a mock production line that performs pick-and-place tasks. Using Robot Raconteur enables ready integration of robots from multiple vendors, leading to improved productivity and cost savings.
【参考中译】 将来自多个供应商的机器人集成到自动化生态系统中是一项阻碍工业自动化部署的挑战。COVID-19大流行加剧了自动化需求的紧迫性，以在观察物理距离的同时维持生产力。为了应对这一挑战，我们提出了一种使用Robot Raconteur（RR）的即插即用软件架构。我们的方法允许将不同的传感器和机器人快速无缝地集成到生产系统中，从而有效执行复杂的任务。这项技术有潜力改变行业的机器人革命。在本文中，我们提供了一个案例研究，展示了我们的即插即用软件架构的有效性。该演示包括一个即插即用的智能Teachpendant和一条执行拾取和放置任务的模拟生产线。使用Robot Raconteur可以随时集成来自多个供应商的机器人，从而提高生产力并节省成本。
【来源】 19th International Conference on Automation Science and Engineering (CASE 2023) 19th International Conference on Automation Science and Engineering (CASE 2023)