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Titlebook: LISS 2022; 12th International C Xiaopu Shang,Xiaowen Fu,Juliang Zhang Conference proceedings 2023 The Editor(s) (if applicable) and The Aut

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Cheng Liu,Qiuyuan Lei,Xinzhong Bao,Wenjing Xiebotic platforms that support human partners in daily activities should acquire similar abilities. In this work we focused on the features of human motor actions that communicate insights on the weight of an object and the carefulness required in its manipulation. Our final goal is to enable a robot
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Liyan He,Juntao Li,Meijuan Zhao,Ruiping Yuan capable to provide the spatial coordinates of the placed boxes vertices and also the optimal boxes input sequence, while guaranteeing geometric, stability, fragility constraints and a reduced computational time. Due to NP-hard complexity of the problem, a hybrid genetic algorithm coupled with a fee
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Qi Wu,Jiaqi Feng,Shouheng Sunephalogram (EEG) power spectrum (Theta, Alpha and Beta frequency bands), and state-of-the-art indices, between some participants who performed different experiments, including a experiment of human-robot collaboration. In particular, tests included low cognitive load tasks, such as listening to clas
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Yingxue Pan,Xuedong Gaollocation strategies. For a purposeful interaction, however, the robot is also required to understand and predict the action of the human not only at a kinematic level (i.e. motion estimation), but also at an higher level of abstraction (i.e. action recognition), ideally from the human own perspecti
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Cheng Jin,Lijun Lu,Jianing Min often difficult to grasp what the robot knows or to assess if a correct task representation is being formed. To address this problem, suitable online feedback should be given by the robot to explain its perceptual beliefs..Here, we introduce an explainable design for human-robot interaction during
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A Framework for Modelling Enterprise Technological Innovation Knowledge System Using Semantic Ontoln ontology can realize the knowledge organization and representation. Presently, the research of domain ontology is mainly concentrated in the fields of medicine, geography, agriculture and biology. In terms of enterprise technological innovation ontology establishment and knowledge acquisition, the
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Understanding the Antecedents of Patient Self-management Behavior in Online Health Communities: An ctors in OHCs to achieve more efficient self-management. This study aims to explore the effects of OHCs acceptance on patient self-management based on the Unified Theory of Acceptance and Use of Technology. We conducted an online questionnaire survey of patients who have participated in OHCs and use
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