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Статті в журналах з теми "Embodied robotics"

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Zhao, Zikai, Qiuxuan Wu, Jian Wang, Botao Zhang, Chaoliang Zhong, and Anton A. Zhilenkov. "Exploring Embodied Intelligence in Soft Robotics: A Review." Biomimetics 9, no. 4 (2024): 248. http://dx.doi.org/10.3390/biomimetics9040248.

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Анотація:
Soft robotics is closely related to embodied intelligence in the joint exploration of the means to achieve more natural and effective robotic behaviors via physical forms and intelligent interactions. Embodied intelligence emphasizes that intelligence is affected by the synergy of the brain, body, and environment, focusing on the interaction between agents and the environment. Under this framework, the design and control strategies of soft robotics depend on their physical forms and material properties, as well as algorithms and data processing, which enable them to interact with the environme
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Mazzolai, Barbara, Emanuela Del Dottore, Francesca Tramacere, Alessio Mondini, and Laura Margheri. "Embodied Intelligence in Plants." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (2022): 012003. http://dx.doi.org/10.1088/1757-899x/1261/1/012003.

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Abstract Envisioning a rethink of the design of robotic systems is necessary for a step-change in developing more sustainable and efficient artificial machines. Recent trends in robotics have embraced the idea of taking inspiration from plants to create energy-efficient components, self-morphing growing robots, biodegradable robots, and the definition of novel models of embodied intelligence and morphological computation. Plants can move and grow in air, soil, and water. They can sense and explore the surrounding environment, continuously grow and adapt their shape, and even communicate with e
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S. Kalaivani, D. Nasreen Banu, I. Parvin Begum, and Jeevitha Sivasamy. "Cognitive Robotics: Integrating Artificial Intelligence and Embodied Intelligence for Advanced Problem Solving." December 2023 5, no. 4 (2023): 462–80. http://dx.doi.org/10.36548/jaicn.2023.4.002.

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Artificial intelligence (AI) and embodied intelligence are combined in cognitive robotics, which marks a paradigm change in highly developed problem-solving skills. This study offers a comprehensive review of the theoretical underpinnings, practical difficulties, practical applications, and moral implications of cognitive robots. The study explores machine learning methods, natural language processing tools, and computer vision technologies after introducing the fundamental concepts. It clarifies embodied intelligence further by emphasizing the important roles that sensory data fusion, robotic
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NAKAGAWA, Yuki, Akio ISHIGURO, Tetsuya OGATA, Riichiro TADAKUMA, and Koh HOSODA. "Soft Robotics and Embodied Intelligence." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 29, no. 5 (2017): 160–72. http://dx.doi.org/10.3156/jsoft.29.5_160.

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Laschi, Cecilia. "Embodied Intelligence in soft robotics: joys and sorrows." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (2022): 012002. http://dx.doi.org/10.1088/1757-899x/1261/1/012002.

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Abstract Embodied intelligence and soft robotics are strictly interconnected, as soft bodyware is key to obtain emergent behaviours from external interactions. The overall advantages of embodied intelligence in robotics are balanced by additional challenges in robot design and control. A main contribution of embodied intelligence to robotics consists of simplifying principles for robot control, in terms of control parameters. At the same time, robot design becomes more complex, involving the complex dynamic interaction of the robot with the environment and the task. These two form the ecologic
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Matsushita, Kojiro, Hiroshi Yokoi, and Tamio Arai. "Plastic-Bottle-Based Robots in Educational Robotics Courses – Understanding Embodied Artificial Intelligence –." Journal of Robotics and Mechatronics 19, no. 2 (2007): 212–22. http://dx.doi.org/10.20965/jrm.2007.p0212.

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In this paper, we introduce an educational robotics approach featuring a unique robotic development kit - hardware, software, and instructions - that concretely encourages student interest in and curiosity about science and technology. The kit was developed based on practical policies: easy construction, low cost, creative activity, and enjoyable education. It uses common materials such as plastic bottles, RC servomotors, and hot glue, and provides three different controllers with instructions - a sensor-motor controller, an electromyography (EMG) interface controller, and a teaching-playback
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Crembil, Gustavo, and Paula Gaetano Adi. "Mestizo Robotics." Leonardo 50, no. 2 (2017): 132–37. http://dx.doi.org/10.1162/leon_a_01150.

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Анотація:
With a cultural and material “cannibalistic” approach, the authors aim to revise certain technological discourses by introducing TZ’IJK, a “mestizo” robotic artwork developed in the Peruvian Amazon. Far from the utopian visions of Hollywood sci-fi movies populated by highly intelligent, anthropomorphic and responsive machines, TZ’IJK employs a combination of high and low technologies that embody Latin America’s anthropophagic, postcolonial and hybrid nature. Mestizo Robotics proposes an alternative approach to the development of embodied artificial life forms, from both theoretical and technol
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Hiraga, Motoaki, Daichi Morimoto, Yoshiaki Katada, and Kazuhiro Ohkura. "When Less Is More in Embodied Evolution: Robotic Swarms Have Better Evolvability with Constrained Communication." Journal of Robotics and Mechatronics 35, no. 4 (2023): 988–96. http://dx.doi.org/10.20965/jrm.2023.p0988.

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Embodied evolution is an evolutionary robotics approach that implements an evolutionary algorithm over a population of robots and evolves while the robots perform their tasks. In embodied evolution, robots send and receive genomes from their neighbors and generate an offspring genome from the exchanged genomes. This study focused on the effects of the communication range for exchanging genomes on the evolvability of embodied evolution. Experiments were conducted using computer simulations, where robot controllers were evolved during a two-target navigation task. The results of the experiments
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Mahdavi, Siavash Haroun, and Peter J. Bentley. "Innately adaptive robotics through embodied evolution." Autonomous Robots 20, no. 2 (2006): 149–63. http://dx.doi.org/10.1007/s10514-006-5941-6.

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Germann, P. Daniel, Wolfgang Schatz, and Hotz Peter Eggenberger. "Artificial Bivalves – The Biomimetics of Underwater Burrowing." Procedia Computer Science 7 (January 1, 2011): 169–72. https://doi.org/10.5281/zenodo.1216950.

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Biomimetics is a fruitful combination of biology and engineering, leading not only to technological innovations but also new insights into biological questions. In this ongoing project, embodied artificial intelligence (embodied AI), artificial evolution and palaeontology are combined to investigate the functional morphology of bivalves. This cross-fertilization allows to expand biomimetics from current biological systems to the whole evolutionary history and to apply the synthetic approach common in embodied AI as a method to tackle open palaeontological questions. So far, a robotic platform
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Дисертації з теми "Embodied robotics"

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Zieba, Karol. "An embodied approach to evolving robust visual classifiers." ScholarWorks @ UVM, 2015. http://scholarworks.uvm.edu/graddis/423.

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Анотація:
From the very creation of the term by Czech writer Karel Capek in 1921, a "robot" has been synonymous with an artificial agent possessing a powerful body and cogitating mind. While the fields of Artificial Intelligence (AI) and Robotics have made progress into the creation of such an android, the goal of a cogitating robot remains firmly outside the reach of our technological capabilities. Cognition has proved to be far more complex than early AI practitioners envisioned. Current methods in Machine Learning have achieved remarkable successes in image categorization through the use of deep lear
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Gopinathan, Muraleekrishna. "Toward embodied navigation through vision and language." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2025. https://ro.ecu.edu.au/theses/2894.

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Embodied AI is a challenging but exciting field in which a robot learns to interact with human-living spaces to perform various tasks. This thesis studies the embodied navigation problem in which a robotic agent navigates in a previously unseen indoor environment based on a challenging task. In particular, the Vision-and-Language Navigation (VLN) task requires a robot to navigate based on a descriptive human-language instruction. This thesis aims to improve VLN agents on four key aspects - their understanding of the environment, training via additional data, correcting navigational errors, and
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Cakmak, Maya. "Guided teaching interactions with robots: embodied queries and teaching heuristics." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44734.

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Анотація:
The vision of personal robot assistants continues to become more realistic with technological advances in robotics. The increase in the capabilities of robots, presents boundless opportunities for them to perform useful tasks for humans. However, it is not feasible for engineers to program robots for all possible uses. Instead, we envision general-purpose robots that can be programmed by their end-users. Learning from Demonstration (LfD), is an approach that allows users to program new capabilities on a robot by demonstrating what is required from the robot. Although LfD has become an establ
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Elfwing, Stefan. "Embodied Evolution of Learning Ability." Doctoral thesis, Stockholm : Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4515.

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Svensson, Henrik. "Embodied Cognition as Internal Simulation of Perception and Action: Towards a cognitive robotics." Thesis, University of Skövde, Department of Computer Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-739.

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<p>This dissertation discusses the view that embodied cognition is essentially internal simulation (or emulation) of perception and action, and that the same (neural) mechanisms are underlying both real and simulated perception and action. More specifically, it surveys evidence supporting the simulation view from different areas of cognitive science (neuroscience, perception, psychology, social cognition, theory of mind). This is integrated with related research in situated robotics and directions for future work on internal simulation of perception and action in robots are outlined. In sum, t
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de, Greeff Joachim. "Interactive concept acquisition for embodied artificial agents." Thesis, University of Plymouth, 2013. http://hdl.handle.net/10026.1/1587.

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An important capacity that is still lacking in intelligent systems such as robots, is the ability to use concepts in a human-like manner. Indeed, the use of concepts has been recognised as being fundamental to a wide range of cognitive skills, including classification, reasoning and memory. Intricately intertwined with language, concepts are at the core of human cognition; but despite a large body or research, their functioning is as of yet not well understood. Nevertheless it remains clear that if intelligent systems are to achieve a level of cognition comparable to humans, they will have to
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Fernández, Pérez Iñaki. "Distributed Embodied Evolutionary Adaptation of Behaviors in Swarms of Robotic Agents." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0300/document.

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Les essaims de robots sont des systèmes composés d’un grand nombre de robots relativement simples. Du fait du grand nombre d’unités, ces systèmes ont de bonnes propriétés de robustesse et de passage à l’échelle. Néanmoins, il reste en général difficile de concevoir manuellement des contrôleurs pour les essaims de robots, à cause de la grande complexité des interactions inter-robot. Par conséquent, les approches automatisées pour l’apprentissage de comportements d’essaims de robots constituent une alternative attrayante. Dans cette thèse, nous étudions l’adaptation de comportements d’essaim de
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Massera, Gianluca. "Evolution of grasping behaviour in anthropomorphic robotic arms with embodied neural controllers." Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1172.

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The works reported in this thesis focus upon synthesising neural controllers for anthropomorphic robots that are able to manipulate objects through an automatic design process based on artificial evolution. The use of Evolutionary Robotics makes it possible to reduce the characteristics and parameters specified by the designer to a minimum, and the robot’s skills evolve as it interacts with the environment. The primary objective of these experiments is to investigate whether neural controllers that are regulating the state of the motors on the basis of the current and previously experienced se
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Fernández, Pérez Iñaki. "Distributed Embodied Evolutionary Adaptation of Behaviors in Swarms of Robotic Agents." Electronic Thesis or Diss., Université de Lorraine, 2017. http://www.theses.fr/2017LORR0300.

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Анотація:
Les essaims de robots sont des systèmes composés d’un grand nombre de robots relativement simples. Du fait du grand nombre d’unités, ces systèmes ont de bonnes propriétés de robustesse et de passage à l’échelle. Néanmoins, il reste en général difficile de concevoir manuellement des contrôleurs pour les essaims de robots, à cause de la grande complexité des interactions inter-robot. Par conséquent, les approches automatisées pour l’apprentissage de comportements d’essaims de robots constituent une alternative attrayante. Dans cette thèse, nous étudions l’adaptation de comportements d’essaim de
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Tyska, Carvalho Jônata. "Adaptive behaviour in evolving robots." Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/10547.

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Анотація:
In this thesis, the evolution of adaptive behaviour in artificial agents is studied. More specifically, two types of adaptive behaviours are studied: articulated and cognitive ones. Chapter 1 presents a general introduction together with a brief presentation of the research area of this thesis, its main goals and a brief overview of the experimental studies done, the results and conclusions obtained. On chapter 2, I briefly present some promising methods that automatically generate robot controllers and/or body plans and potentially could help in the development of adaptive robots. Among these
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Книги з теми "Embodied robotics"

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Nolfi, Stefano. Evolution of Communication and Language in Embodied Agents. Springer-Verlag Berlin Heidelberg, 2010.

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Ipke, Wachsmuth, and Knoblich Günther, eds. Modeling communication with robots and virtual humans: Second ZiF Research Group International Workshop on Embodied Communication in Humans and Machines, Bielefeld, Germany, April 5-8, 2006 ; revised selected papers. Springer, 2008.

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F, Hara, and Pfeifer Rolf 1947-, eds. Morpho-functional machines: The new species : designing embodies intelligence. Springer, 2003.

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Eleni, Efthimiou, Kouroupetroglou Georgios, and Fotinia Stavroula-Evita, eds. Gesture and sign language in human-computer interaction and embodied communication: 9th International Gesture Workshop, GW 2011, Athens, Greece, May 25-27, 2011 : revised selected papers. Springer, 2012.

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Dawson, Michael Robert William. From bricks to brains: The embodied cognitive science of LEGO robots. AU Press, 2010.

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Hara, F., and R. Pfeifer. Morpho-Functional Machines : the New Species: Designing Embodied Intelligence. Springer Japan, 2012.

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Cangelosi, Angelo. Robotics and embodied agent modelling of the evolution of language. Oxford University Press, 2011. http://dx.doi.org/10.1093/oxfordhb/9780199541119.013.0062.

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Wachsmuth, Ipke, Manuela Lenzen, and Günther Knoblich. Embodied Communication in Humans and Machines. Oxford University Press, Incorporated, 2008.

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Wachsmuth, Ipke, and Manuela Lenzen. Embodied Communication in Humans and Machines. Oxford University Press, 2014.

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Nolfi, Stefano, and Marco Mirolli. Evolution of Communication and Language in Embodied Agents. Springer, 2014.

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Частини книг з теми "Embodied robotics"

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Shapiro, Lawrence. "The replacement hypothesis, robotics, and representation." In Embodied Cognition. Routledge, 2019. http://dx.doi.org/10.4324/9781315180380-8.

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Vear, Craig. "Embodied AI and Musicking Robotics." In The Language of Creative AI. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10960-7_7.

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Bellot, David, Roland Siegwart, Pierre Bessière, Adriana Tapus, Christophe Coué, and Julien Diard. "Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples." In Embodied Artificial Intelligence. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27833-7_14.

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Berthoz, Alain. "Embodied Language in Brains and Robots: The Question of Geometrical Reference Frames." In Wording Robotics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17974-8_1.

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Schneider, Axel, Jan Paskarbeit, Mattias Schäffersmann, and Josef Schmitz. "Biomechatronics for Embodied Intelligence of an Insectoid Robot." In Intelligent Robotics and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25489-5_1.

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Nakamura, Y. oshihiko, Tetsunari Inamura, and Hiroaki Tanie. "A Statistic Model of Embodied Symbol Emergence." In Springer Tracts in Advanced Robotics. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11008941_61.

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Grigore, Elena Corina, Andre Pereira, Jie Jessica Yang, Ian Zhou, David Wang, and Brian Scassellati. "Comparing Ways to Trigger Migration Between a Robot and a Virtually Embodied Character." In Social Robotics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47437-3_82.

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Zabala, Unai, Alexander Diez, Igor Rodriguez, Agnese Augello, and Elena Lazkano. "Attainable Digital Embodied Storytelling Using State of the Art Tools, and a Little Touch." In Social Robotics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8715-3_7.

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Cuan, Catie, Ishaan Pakrasi, and Amy LaViers. "Perception of Control in Artificial and Human Systems: A Study of Embodied Performance Interactions." In Social Robotics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05204-1_49.

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Nanayakkara, Thrishantha, Barry Mulvey, Shehara Perera, Yukun Ge, Zhenhua Yu, and Parvathi Sunilkumar. "Soft Robots as a Platform to Understand Embodied Intelligence." In Handbook on Soft Robotics. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-68620-7_3.

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Тези доповідей конференцій з теми "Embodied robotics"

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Wasserman, Justin, Girish Chowdhary, Abhinav Gupta, and Unnat Jain. "Exploitation-Guided Exploration for Semantic Embodied Navigation." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610117.

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Yoneda, Takuma, Jiading Fang, Peng Li, et al. "Statler: State-Maintaining Language Models for Embodied Reasoning." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610634.

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Gomez, Randy, Deborah Szapiro, Sara Cooper, et al. "Design of Embodied Mediator Haru for Remote Cross Cultural Communication." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611253.

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Putra, Rachmad Vidya Wicaksana, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, and Muhammad Shafique. "Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack." In 2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2024. https://doi.org/10.1109/icarcv63323.2024.10821619.

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Li, Dayou, Chenkun Zhao, Shuo Yang, Lin Ma, Yibin Li, and Wei Zhang. "Learning Instruction-Guided Manipulation Affordance via Large Models for Embodied Robotic Tasks*." In 2024 International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2024. http://dx.doi.org/10.1109/icarm62033.2024.10715821.

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Chen, Yucheng, Yanze Zhu, Chunxing Guan, and Jilong Zheng. "An Embodied Collaborative Search Strategy for Multi-Scale Visual Feature Targets." In 2024 International Conference on Intelligent Robotics and Automatic Control (IRAC). IEEE, 2024. https://doi.org/10.1109/irac63143.2024.10871659.

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Zhao, Guoqing, Tong Xu, and Sirui Zhao. "Prompting LLM for Embodied Tasks with Expert Instruction and Dimension Separation." In 2024 International Conference on Intelligent Robotics and Automatic Control (IRAC). IEEE, 2024. https://doi.org/10.1109/irac63143.2024.10871329.

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Zhai, Chenggong, Zhansheng Gong, Yan Li, Xunjie Ding, Yang Huang, and Yaoqi Zhang. "Research on the Application of Embodied Intelligent Robots in Logistics Support." In 2025 5th International Conference on Computer, Control and Robotics (ICCCR). IEEE, 2025. https://doi.org/10.1109/icccr65461.2025.11072625.

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Zhang, Qianheng, and Yiling Zhou. "Embodied Intelligence Applications in Assistive Technologies for the Visually Impaired." In 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI). IEEE, 2024. https://doi.org/10.1109/ricai64321.2024.10911190.

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Lin, Ming-Yi, Ou-Wen Lee, and Chih-Ying Lu. "Embodied AI with Large Language Models: A Survey and New HRI Framework." In 2024 International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2024. http://dx.doi.org/10.1109/icarm62033.2024.10715872.

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Звіти організацій з теми "Embodied robotics"

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Shukla, Indu, Rajeev Agrawal, Kelly Ervin, and Jonathan Boone. AI on digital twin of facility captured by reality scans. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47850.

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Анотація:
The power of artificial intelligence (AI) coupled with optimization algorithms can be linked to data-rich digital twin models to perform predictive analysis to make better informed decisions about installation operations and quality of life for the warfighters. In the current research, we developed AI connected lifecycle building information models through the creation of a data informed smart digital twin of one of US Army Corps of Engineers (USACE) buildings as our test case. Digital twin (DT) technology involves creating a virtual representation of a physical entity. Digital twin is created
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Siskind, Jeffrey M. Emergent Intelligent Behavior through Integrated Investigation of Embodied Natural Language, Reasoning, Learning, Computer Vision, and Robotic Manipulation. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada551162.

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