【标题】HOW TO PROCURE THE RIGHT BATTERY PACK FOR A MOBILE INDUSTRIAL ROBOT
【参考中译】如何为移动工业机器人配备正确的电池组
【类型】 期刊
【作者】 Victoria White
【摘要】 Long cycle life, high energy density and resistance to shock and vibration are common requirements in AGVs and other types of mobile robots. How do they affect the choice of chemistry, cell, and battery pack design? Owen McNally, Alexander Battery Technologies, investigates.... Efficiency, maximisation of throughput, safety and operating cost reduction are the watchwords of today's smart, digitalised factories and warehouses. To meet these business objectives, industrial companies are automating ever more processes, and deploying more robotic devices, particularly various types of mobile robots. These include devices such as automated guided vehicles (AGVs) used in materials handling and other applications, automated mobile robots (AMRs) for last-mile deliveries, and frame climbers in automated warehouses. One of the advantages of mobile robots in comparison to their human counterparts is the ability to continue working 24 hours a day without the need for breaks. But this calls for a portable battery power system that can maintain a continuous output, without running out of charge, or failing prematurely because of a fault or breakdown.
【参考中译】 长循环寿命、高能量密度以及抗冲击和振动是AGV和其他类型移动机器人的共同要求。它们如何影响化学、电池和电池组设计的选择？亚历山大电池技术公司的欧文·麦克纳利调查...高效、产能最大化、安全和降低运营成本是当今S智能化、数字化的工厂和仓库的口号。为了实现这些业务目标，工业公司正在使更多的流程自动化，并部署更多的机器人设备，特别是各种类型的移动机器人。这些设备包括用于材料处理和其他应用的自动导引车(AGV)，用于最后一英里送货的自动移动机器人(AMR)，以及自动化仓库中的框架爬行器。与人类机器人相比，移动机器人的优势之一是能够一天24小时连续工作，而不需要休息。但这需要一种便携式电池供电系统，能够保持连续输出，而不会耗尽电量，也不会因为故障或故障而过早失灵。
【来源】 Factory & Handling Solutions 2024, no.Mar.
【入库时间】 2024/10/9
【标题】Omron and Neura Robotics Partner on Cognitive Robot Development
【参考中译】Omron和Neura Robotics合作开展认知机器人开发
【作者】 David Greenfield
【摘要】 Neura Robotics, a supplier of cognitive robotics technology, and Omron Robotics and Safety Technologies, a supplier of industrial robotics and automation, have announced a partnership focused on introducing cognitive robots into factory automation. These cognitive robots will reportedly use advanced artificial intelligence (AI) to improve manufacturing efficiency, flexibility and safety. Application targets for these cognitive robots include intricate assembly tasks, detailed quality inspections and adaptive material handling processes. According to Omron and Neura Robotics, the companies will work to develop a cognitive robotics platform that combines the two companies' technologies. On its website, Neura Robotics promotes its Neuraverse web platform approach designed to facilitate networking, collaboration and co-creation within its partner community.
【参考中译】 认知机器人技术供应商Neura Robotics与工业机器人和自动化供应商Omron Robotics和Safety Technologies宣布建立合作伙伴关系，重点将认知机器人引入工厂自动化。据报道，这些认知机器人将使用先进的人工智能（AI）来提高制造效率、灵活性和安全性。这些认知机器人的应用目标包括复杂的组装任务、详细的质量检查和自适应材料处理流程。据Omron和Neura Robotics称，两家公司将致力于开发一个结合两家公司技术的认知机器人平台。Neura Robotics在其网站上推广其Neuraverse网络平台方法，旨在促进其合作伙伴社区内的网络、协作和共同创造。
【来源】 Automation World 2024, no.Jun/Jul
【标题】On the Role of Beliefs and Trust for the Intention to Use Service Robots: An Integrated Trustworthiness Beliefs Model for Robot Acceptance
【参考中译】信念和信任对使用服务机器人意图的作用：机器人接受的集成可信信念模型
【关键词】 Trust in robots; Acceptance modeling; Intention to use; Beliefs; Theory of planned behavior; UTAUT
【参考中译】 对机器人的信任;接受建模;使用意图;信念;计划行为理论; UTAUT
【作者】 Johannes Kraus; Linda Miller; Marielene Klumpp; Franziska Babel; David Scholz; Julia Merger; Martin Baumann
【摘要】 With the increasing abilities of robots, the prediction of user decisions needs to go beyond the usability perspective, for example, by integrating distinctive beliefs and trust. In an online study (N = 400), first, the relationship between general trust in service robots and trust in a specific robot was investigated, supporting the role of general trust as a starting point for trust formation. On this basis, it was explored-both for general acceptance of service robots and acceptance of a specific robot-if technology acceptance models can be meaningfully complemented by specific beliefs from the theory of planned behavior (TPB) and trust literature to enhance understanding of robot adoption. First, models integrating all belief groups were fitted, providing essential variance predictions at both levels (general and specific) and a mediation of beliefs via trust to the intention to use. The omission of the performance expectancy and reliability belief was compensated for by more distinctive beliefs. In the final model (TB-RAM), effort expectancy and competence predicted trust at the general level. For a specific robot, competence and social influence predicted trust. Moreover, the effect of social influence on trust was moderated by the robot's application area (public > private), supporting situation-specific belief relevance in robot adoption. Taken together, in line with the TPB, these findings support a mediation cascade from beliefs via trust to the intention to use. Furthermore, an incorporation of distinctive instead of broad beliefs is promising for increasing the explanatory and practical value of acceptance modeling.
【参考中译】 随着机器人能力的不断增强，对用户决策的预测需要超越可用性的角度，例如，通过整合独特的信念和信任。在一项在线研究中(N=400)，首先，调查了服务机器人的一般信任与特定机器人的信任之间的关系，支持了一般信任作为信任形成的起点的作用。在此基础上，探讨了无论是对服务机器人的普遍接受，还是对特定机器人的接受，技术接受模型是否能得到来自计划行为理论(TPB)和信任文献的具体信念的有意义的补充，以增强对机器人采用的理解。首先，对整合了所有信念群体的模型进行了拟合，提供了两个水平(一般和具体)的基本方差预测，并通过信任对使用意图进行了信念的中介。性能预期和可靠性信念的缺失被更独特的信念所弥补。在最终模型(TB-RAM)中，努力期望和能力在一般水平上预测信任。对于特定的机器人来说，能力和社会影响力预示着信任。此外，社会影响对信任的影响受到S应用领域(公共领域>私人领域)的调节，支持特定情境的信念与机器人采用的相关性。综上所述，与TPB一致，这些发现支持从信念通过信任到使用意图的中介级联。此外，加入独特的信念而不是广泛的信念有望增加接受模型的解释和实用价值。
【来源】 International Journal of Social Robotics 2024, vol.16, no.6