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Titlebook: Humanoid Service Robots; Customer Expectation Moritz Merkle Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive lice

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31#
發(fā)表于 2025-3-27 01:00:40 | 只看該作者
Study 4: Customer Responses to Service Robots: Comparing Human-Robot Interaction with Human-Human Iit compares customers’ satisfaction in a service robot interaction depending on a service failure with the customers’ satisfaction in a frontline service employee interaction. On a theoretical basis, extant literature on the uncanny valley paradigm proposed that service robots would create lower sat
32#
發(fā)表于 2025-3-27 01:17:28 | 只看該作者
33#
發(fā)表于 2025-3-27 07:01:16 | 只看該作者
34#
發(fā)表于 2025-3-27 11:12:16 | 只看該作者
Multi-Axes Micro Gripper for the Handling and Alignment of Flexible Micro Partsf the Fraunhofer IPT is the development of new concepts of active gripper systems. In this context a highly integrated, adaptive, rugged and economical gripper system particularly for accurate handling and alignment of flexible micro parts down to the sub-micron level has been developed. This grippe
35#
發(fā)表于 2025-3-27 16:31:22 | 只看該作者
Knowledge-Based Factors and Growth of New Hospitality Firms: A Study of Iberian, Nordic, and Baltic Entrepreneurs,fers to decent work and economic growth. Firm growth is associated with a positive performance and a sign of the potential long-term survival of the firm. Though many factors can influence the growth of new firms in the tourism industry, knowledge-based factors are particularly emphasised in the aca
36#
發(fā)表于 2025-3-27 19:37:30 | 只看該作者
ajor natural dam lakes around the globe.Illustrates sustaina.This book presents an interdisciplinary study of Lake Cuejdel, one of the youngest natural dam lakes in Romania. Even though the overall study has a strong geographical approach, it also includes limnological and hydrological studies.?.The
37#
發(fā)表于 2025-3-27 22:45:15 | 只看該作者
38#
發(fā)表于 2025-3-28 05:24:16 | 只看該作者
Eye Diseases Classification Using Deep Learningad of adjusting the results to a given part of the dataset. Several deep convolutional neural networks were used as feature extractors and they were combined with the Synergic Deep Learning model. We conducted experiments on the data and were able to achieve promising results.
39#
發(fā)表于 2025-3-28 06:52:14 | 只看該作者
40#
發(fā)表于 2025-3-28 11:37:44 | 只看該作者
Yuling Li,Hongyong Yang,Yize Yang,Yuanshan Liu,Yujiao Sun tests, without requiring special skills or expertise. We successfully integrated . in the development process of several large projects, such as Kotlin Coroutines, and identified new bugs in popular concurrency libraries, such as a race in Java’s standard . and a liveliness bug in Java’s . framewor
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