Digital twin(DT)can achieve real-time information fusion and interactive feedback between virtual space and physical space.This technology involves a digital model,real-time information management,comprehensive intell...Digital twin(DT)can achieve real-time information fusion and interactive feedback between virtual space and physical space.This technology involves a digital model,real-time information management,comprehensive intelligent perception networks,etc.,and it can drive the rapid conceptual development of intelligent construction(IC)such as smart factories,smart cities,and smart medical care.Nevertheless,the actual use of DT in IC is partially pending,with numerous scientific factors still not clarified.An overall survey on pending issues and unsolved scientific factors is needed for the development of DT-driven IC.To this end,this study aims to provide a comprehensive review of the state of the art and state of the use of DT-driven IC.The use of DT in planning,design,manufacturing,operation,and maintenance management of IC is demonstrated and analyzed,following which the driving functions of DT in IC are detailed from four aspects:information perception and analysis,data mining and modeling,state assessment and prediction,intelligent optimization and decision-making.Furthermore,the future direction of research,using DT in IC,is presented with some comments and suggestions.This work will help researchers gain in-depth and systematic understanding of the use of DT,and help practitioners to better promote its implementation in IC.展开更多
Human–machine interactive platforms that can sense mechanical stimuli visually and digitally are highly desirable.However,most existing interactive devices cannot satisfy the demands of tactile feedback and extended ...Human–machine interactive platforms that can sense mechanical stimuli visually and digitally are highly desirable.However,most existing interactive devices cannot satisfy the demands of tactile feedback and extended integration.Inspired by the mechanoluminescence(ML)function of cephalopod skin and the sensitive perception of microcracked slit-organs,a bioinspired stretchable interactive platform is developed by designing a stretchable poly(styrene-block-butadiene-block-styrene)/fluorescent molecule(SFM)composite followed by the in situ polymerization of pyrrole(Py)and deposition of carbon nanotubes(CNTs),which possesses a simple multilayered structure and quantitatively senses the applied strains via the variations of digital electrical resistance and visual fluorescence intensity.Using the strain-dependent microstructures derived from the synergistic interactions of the rigid PPy/CNTs functional layer and SFM,the SFM/PPy/CNTs-based platforms exhibit excellent strain-sensing performance manifested by a high gauge factor(GF=2.64×10^(4)),wide sensing range(-270%),fast response/recovery time(-155/195 ms),excellent stability(-15,000 cycles at 40%strain),and sensitive ML characteristics under ultraviolet illumination.Benefiting from the novel fusion of digital data and visual images,important applications,including the detection of wrist pulses and human motions,and information dual-encryption,are demonstrated.This study demonstrates the superiority of advanced structures and materials for realizing superior applications in wearable electronics.展开更多
Creating intelligent beings like humans is a long-standing goal in AI research, such as intelligent robots in science fiction.Classic AI technologies are disembodied, and insufficient to make robots intelligently beha...Creating intelligent beings like humans is a long-standing goal in AI research, such as intelligent robots in science fiction.Classic AI technologies are disembodied, and insufficient to make robots intelligently behave in the real world. In contrast,embodied artificial intelligence (Embodied AI) enables artificial agents with physical embodiment to achieve intelligentbehavior through interactions with environments. However, there are few comprehensive surveys on Embodied AI from theperspective of robot behavior within the AI domain. Thus, we provide a comprehensive survey on Embodied AI. According tothe process of robot behavior, we categorize Embodied AI into three modules: embodied perception, embodied decision-making,and embodied execution. For each module, we review its tasks, methods, and challenges. We hope this survey can provide astructural framework for Embodied AI research. Besides, we also pay attention to large foundation models in Embodied AI.展开更多
基金the financial support partially provided by The Quality Engineering Project of Anhui Province(2019sjjd58,2020sxzx36)The Ministry of Education Cooperative Education Project(201901119016)+1 种基金The Chinese(Jiangsu)-Czech Bilateral Co-funding R&D Project(SBZ2018000220)the Key R&D Project of Anhui Science and Technology Department(202004b11020026).
文摘Digital twin(DT)can achieve real-time information fusion and interactive feedback between virtual space and physical space.This technology involves a digital model,real-time information management,comprehensive intelligent perception networks,etc.,and it can drive the rapid conceptual development of intelligent construction(IC)such as smart factories,smart cities,and smart medical care.Nevertheless,the actual use of DT in IC is partially pending,with numerous scientific factors still not clarified.An overall survey on pending issues and unsolved scientific factors is needed for the development of DT-driven IC.To this end,this study aims to provide a comprehensive review of the state of the art and state of the use of DT-driven IC.The use of DT in planning,design,manufacturing,operation,and maintenance management of IC is demonstrated and analyzed,following which the driving functions of DT in IC are detailed from four aspects:information perception and analysis,data mining and modeling,state assessment and prediction,intelligent optimization and decision-making.Furthermore,the future direction of research,using DT in IC,is presented with some comments and suggestions.This work will help researchers gain in-depth and systematic understanding of the use of DT,and help practitioners to better promote its implementation in IC.
基金supported by the National Natural Science Foundation of China(Nos.62271231,22075046)the Natural Science Foundation of Shandong Province(No.ZR2021MB037)+1 种基金the National Key Research and Development Program of China(No.2022YFB3804905)J.-H.Ahn acknowledges the support from the National Research Foundation of Korea(No.NRF2015R1A3A2066337).
文摘Human–machine interactive platforms that can sense mechanical stimuli visually and digitally are highly desirable.However,most existing interactive devices cannot satisfy the demands of tactile feedback and extended integration.Inspired by the mechanoluminescence(ML)function of cephalopod skin and the sensitive perception of microcracked slit-organs,a bioinspired stretchable interactive platform is developed by designing a stretchable poly(styrene-block-butadiene-block-styrene)/fluorescent molecule(SFM)composite followed by the in situ polymerization of pyrrole(Py)and deposition of carbon nanotubes(CNTs),which possesses a simple multilayered structure and quantitatively senses the applied strains via the variations of digital electrical resistance and visual fluorescence intensity.Using the strain-dependent microstructures derived from the synergistic interactions of the rigid PPy/CNTs functional layer and SFM,the SFM/PPy/CNTs-based platforms exhibit excellent strain-sensing performance manifested by a high gauge factor(GF=2.64×10^(4)),wide sensing range(-270%),fast response/recovery time(-155/195 ms),excellent stability(-15,000 cycles at 40%strain),and sensitive ML characteristics under ultraviolet illumination.Benefiting from the novel fusion of digital data and visual images,important applications,including the detection of wrist pulses and human motions,and information dual-encryption,are demonstrated.This study demonstrates the superiority of advanced structures and materials for realizing superior applications in wearable electronics.
文摘Creating intelligent beings like humans is a long-standing goal in AI research, such as intelligent robots in science fiction.Classic AI technologies are disembodied, and insufficient to make robots intelligently behave in the real world. In contrast,embodied artificial intelligence (Embodied AI) enables artificial agents with physical embodiment to achieve intelligentbehavior through interactions with environments. However, there are few comprehensive surveys on Embodied AI from theperspective of robot behavior within the AI domain. Thus, we provide a comprehensive survey on Embodied AI. According tothe process of robot behavior, we categorize Embodied AI into three modules: embodied perception, embodied decision-making,and embodied execution. For each module, we review its tasks, methods, and challenges. We hope this survey can provide astructural framework for Embodied AI research. Besides, we also pay attention to large foundation models in Embodied AI.
