A Multimodal Information Fusion Model for Robot Action Recognition with Time Series by Xiaozhi Zhang, Hongyan Li, Mengjie Qian

“…As a result, this paper proposes a time series-based action recognition model with multimodal information fusion and applies it to a robot to realize friendly human-robot interaction. Multifeatures can characterize data information comprehensively, and in this study, the spatial flow and motion flow features of the dataset are extracted separately, and each feature is input into a bidirectional long and short-term memory network (BiLSTM). …”
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Anthropomorphic service recovery: the panacea following service failure of automated CSAs by Nobukhosi Dlodlo

“…Practical/managerial implications: The findings of this study could shape customers’ response mechanisms during failed interactions with automated CSAs, offering salient insights to adequately address service failures while tapping into the judicious utilisation of human-robot collaboration opportunities. Contribution/value-add: The study provides initial lenses for considering the social acting nature of automated CSAs. …”
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Incremental Instance-Oriented 3D Semantic Mapping via RGB-D Cameras for Unknown Indoor Scene by Wei Li, Junhua Gu, Benwen Chen, Jungong Han

“…Scene parsing plays a crucial role when accomplishing human-robot interaction tasks. As the “eye” of the robot, RGB-D camera is one of the most important components for collecting multiview images to construct instance-oriented 3D environment semantic maps, especially in unknown indoor scenes. …”
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Task-related errors as a catalyst for empathy towards embodied pedagogical agents by Oliver Rehren, Oliver Rehren, Sebastian Jansen, Sebastian Jansen, Martina Seemann, Martina Seemann, Peter Ohler, Peter Ohler

“…The study highlights the complex interplay between perceived competence, likability, and empathy in human-robot interaction, particularly within educational contexts. …”
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Emerging Risk Management in Industry 4.0: An Approach to Improve Organizational and Human Performance in the Complex Systems by F. Brocal, C. González, D. Komljenovic, P. F. Katina, Miguel A. Sebastián

“…Therefore, the objective of this paper is to propose an organizational and human performance approach to improve the emerging risk management linked to the complex systems, like as Human-Machine Interactions (HMI) and Human-Robot Interaction (HRI). To fulfill this objective, we first introduce the concept of emerging risk linked to human factor. …”
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Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals by Lun Shu, Victor R. Barradas, Zixuan Qin, Yasuharu Koike

“…The development of facial expression recognition (FER) and facial expression generation (FEG) systems is essential to enhance human-robot interactions (HRI). The facial action coding system is widely used in FER and FEG tasks, as it offers a framework to relate the action of facial muscles and the resulting facial motions to the execution of facial expressions. …”
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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…Emotion recognition plays an essential role in human-computer interaction, spanning diverse domains from human-robot communication and virtual reality to mental health assessment and affective computing. …”
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…Thirdly, large language models will enhance human-robot interaction by enabling natural language commands, improving collaborative operations. …”
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