Bibliografías temáticas / Robotic Capabilites

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Literatura académica sobre el tema "Robotic Capabilites"

Autor: Grafiati
Publicado: 5 de abril de 2025

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Artículos de revistas sobre el tema "Robotic Capabilites"

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Joshi, Gaurav. "Innovations in Soft Robotics: Design and Control of Flexible Mechatronic Systems." Mathematical Statistician and Engineering Applications 70, no. 1 (2021): 479–85. http://dx.doi.org/10.17762/msea.v70i1.2500.

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Soft robotics, an emerging field at the intersection of robotics and materials science, has gained significant attention in recent years due to its potential for creating highly adaptable and versatile robotic systems. Unlike traditional rigid robots, soft robotics focuses on designing and controlling flexible mechatronic systems that can mimic the natural movements and interactions of living organisms. This paper presents an overview of the recent innovations in soft robotics, specifically focusing on the design and control aspects of flexible mechatronic systems.The design of soft robots inv
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Mukherjee, Anshit, Gunjan Mukherjee, Monalisa Halder, and Kamal Kumar Ghosh. "ChatGPT: A Breakthrough in Developing Human-Like Robots with Natural Language Capabilities." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem27928.

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Robotic systems often require engineers to write code to specify the desired behaviour of the robots. This process is slow, costly, and inefficient, as it involves multiple iterations and manual tuning. ChatGPT is a tool that leverages a large language model (LLM) to enable natural language interaction, code generation, and learning from feedback for robotic applications. ChatGPT allows users, who may not have technical expertise, to provide high-level instructions and feedback to the LLM, while observing the robot's performance. ChatGPT can produce code for various scenarios of robots, using
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Khattab, Afraa, and Csaba Felhő. "Robotic systems for advanced additive manufacturing." Multidiszciplináris Tudományok 14, no. 2 (2024): 201–19. https://doi.org/10.35925/j.multi.2024.2.20.

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Additive manufacturing (AM) has revolutionized the way we layout and manufacture products. The inception of complicated geometries immediately from virtual models gives more freedom and flexibility. However, AM systems have boundaries in terms of building volume, space, and the capability to manufacture multi-material and multi-practical items. A mixture of robotics and AM has emerged as a promising solution. The robotic tool of AM expands its capabilities via the growing toolpath strategies and robotic trajectories, paving the way for the advent of large, more complicated, and functionally in
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Dipali Ghatge, Pratham Patil, Atharva Algude, Shubhangi Chikane, and Atharv Dhotre. "Interactive Robotic Arm Simulation." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 06 (2024): 1665–68. http://dx.doi.org/10.47392/irjaeh.2024.0229.

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In the dynamic landscape of robotics and artificial intelligence, this research pioneers a groundbreaking fusion of simulation technology and advanced machine learning, specifically reinforcement learning, to enhance robotic arm capabilities. The focus centers on the utilization of a cutting-edge simulator, powered by the PyBullet physics engine, to faithfully replicate the intricate dynamics of a robotic arm within a digital environment. Serving as an experimental ground, the simulator enables the robotic arm to navigate, manipulate objects, and dynamically engage with its surroundings. Throu
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Fatoye, Joseph. "Enhancing Robotics with Cognitive Capabilities." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (2024): 23738–39. http://dx.doi.org/10.1609/aaai.v38i21.30547.

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In the pursuit of creating more effective and adaptable robots, the flourishing field of cognitive robotics has arisen to infuse machines with human-like cognitive functions. This paper delves into the significance of cognitive robotics and charts a course for empowering robots with advanced cognitive capabilities. Drawing inspiration from current research in cognitive architectures, the paper underscores the importance of refined perception, language processing, complex decision-making, emotional intelligence, and cognitive synergy. By integrating these cognitive functions into robotic system
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Khanna, Omaditya, Ryan Beasley, Daniel Franco, and Simon DiMaio. "The Path to Surgical Robotics in Neurosurgery." Operative Neurosurgery 20, no. 6 (2021): 514–20. http://dx.doi.org/10.1093/ons/opab065.

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Abstract Robotic systems may help efficiently execute complicated tasks that require a high degree of accuracy, and this, in large part, explains why robotics have garnered widespread use in a variety of neurosurgical applications, including intracranial biopsies, spinal instrumentation, and placement of intracranial leads. The use of robotics in neurosurgery confers many benefits, and inherent limitations, to both surgeons and their patients. In this narrative review, we provide a historical overview of robotics and its implementation across various surgical specialties, and discuss the vario
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Baddam, Parikshith Reddy. "Surgical Robotics Unveiled: The Robotic Surgeon's Role in Modern Surgical Evolution." ABC Journal of Advanced Research 8, no. 2 (2019): 131–44. http://dx.doi.org/10.18034/abcjar.v8i2.718.

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This article delves into the transformative impact of surgical robotics on modern medical practices, unveiling the pivotal role of robotic surgeons in the ongoing evolution of surgery. Through a comprehensive exploration of cutting-edge technologies, the paper investigates how robotic systems enhance precision, minimize invasiveness, and contribute to improved patient outcomes. By scrutinizing recent advancements in robotic-assisted procedures, the article sheds light on the integration of artificial intelligence, machine learning, and advanced imaging technologies in surgical workflows. Empha
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Ramos, Leonardo, Gabriel Lisbôa Guimarães Divino, Guilherme Cano Lopes, Breno Bernard Nicolau De França, Leonardo Montecchi, and Esther Luna Colombini. "The RoCS Framework to Support the Development of Autonomous Robots." Journal of Software Engineering Research and Development 7 (December 21, 2019): 10. http://dx.doi.org/10.5753/jserd.2019.470.

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With the expansion of autonomous robotics and its applications (e.g. medical, competition, military), the biggest hurdle in developing mobile robots lies in endowing them with the ability to interact with the environment and to make correct decisions so that their tasks can be executed successfully. However, as the complexity of robotic systems grows, the need to organize and modularize software for their correct functioning also becomes a challenge, making the development of software for controlling robots a complex and intricate task. In the robotics domain, there is a lack of reference soft
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Wei, Yufei, Xiaotong Nie, Motoaki Hiraga, Kazuhiro Ohkura, and Zlatan Car. "Developing End-to-End Control Policies for Robotic Swarms Using Deep Q-learning." Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 5 (2019): 920–27. http://dx.doi.org/10.20965/jaciii.2019.p0920.

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In this study, the use of a popular deep reinforcement learning algorithm – deep Q-learning – in developing end-to-end control policies for robotic swarms is explored. Robots only have limited local sensory capabilities; however, in a swarm, they can accomplish collective tasks beyond the capability of a single robot. Compared with most automatic design approaches proposed so far, which belong to the field of evolutionary robotics, deep reinforcement learning techniques provide two advantages: (i) they enable researchers to develop control policies in an end-to-end fashion; and (ii) they requi
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Tselegkaridis, Sokratis, and Theodosios Sapounidis. "Simulators in Educational Robotics: A Review." Education Sciences 11, no. 1 (2021): 11. http://dx.doi.org/10.3390/educsci11010011.

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Educational robotics (ER) seems to have a positive effect on students and, in many cases, might help them to successfully assimilate knowledge and skills. Thus, this paper focuses on ER and carries out a literature review on educational robotics simulators with Graphical User Interfaces (GUIs). The review searches for relevant papers which were published in the period 2013–2020 and extracted the characteristics of the simulators used. The simulators that we describe in this article cover various robotic technologies, offering students an easy way to engage with virtual robots and robotics mech
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Tesis sobre el tema "Robotic Capabilites"

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Hornfeck, Kenneth B. "A Customizable Socially Interactive Robot with Wireless Health Monitoring Capability." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1301595272.

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Yanick, Anthony Joseph. "Driving By Speaking: Capabilities and Requirements of a Vocal Joystick." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1327677974.

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Gonthier, Yves. "Force task planning of robotic systems with limited actuator capabilities." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29595.pdf.

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Gonthier, Yves. "Force task planning of robotic systems with limited actuator capabilities." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27222.

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In this thesis, we study the problem of large wrench application using robotic systems with limited force or torque actuators. It is shown that such systems may be able to apply a wrench in some configurations only; therefore their useful Force Workspace is limited, and may be smaller than their reachable workspace.<br>To improve the force capabilities of a system, base mobility or redundancy can be employed. A planning algorithm is proposed which results in proper base positioning relative to large-force quasi-static tasks. Similarly, the Force Workspace can be used to position such tasks rel
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Gonzalez, Daniel Jesus. "Extra robotic legs for augmenting human payload and positioning capabilities." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122134.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 119-123).<br>The Extra Robotic Legs (XRL) system is a robotic augmentation worn by a human operator that consists of two articulated robot legs that help bear a heavy backpack payload and a portion of the operator's own weight. The design was driven by a need to increase the effectiveness of Department of Energy hazardous material emergency response personnel who are encumbered by their Personal Protective Equip
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Williams, Kenton J. (Kenton James). "Physics-, social-, and capability- based reasoning for robotic manipulation." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/70445.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 124-128).<br>Robots that can function in human-centric domains have the potential to help humans with the chores of everyday life. Moreover, dexterous robots with the ability to reason about the maneuvers they execute for manipulation tasks can function more autonomously and intelligently. This thesis outlines the development of a reasoning architecture that uses physics-, social-, and agent capability-based knowledge t
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Nemitz, Markus P. "HoverBot : a manufacturable swarm robot that has multi-functional sensing capabilities and uses collisions for two-dimensional mapping." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33160.

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Swarm robotics is the study of developing and controlling large groups of robots. Collectives of robots possess advantages over single robots such as being robust to mission failures due to single-robot errors. Experimental research in swarm robotics is currently limited by swarm robotic technology. Current swarm robotic systems are either small groups of sophisticated robots or large groups of simple robots due to manufacturing overhead, functionality-cost dependencies, and their need to avoid collisions, amongst others. It is therefore useful to develop a swarm robotic system that is easy to
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Naqvi, Syed Muhammad Raza. "Exploration des LLM et de l'XAI sémantique pour les capacités des robots industriels et les connaissances communes en matière de fabrication." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2025. http://www.theses.fr/2025TLSEP014.

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Dans l'industrie 4.0, la fabrication avancée est essentielle pour façonner les usines du futur, en permettant d'améliorer la planification, l'ordonnancement et le contrôle. La capacité d'adapter rapidement les lignes de production en réponse aux demandes des clients ou à des situations inattendues est essentielle pour améliorer l'avenir de la fabrication. Bien que l'IA apparaisse comme une solution, les industries s'appuient toujours sur l'expertise humaine en raison des problèmes de confiance et du manque de transparence des décisions de l'IA. L'IA explicable intégrant des connaissances de ba
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Elghazaly, Gamal. "Hybrid cable thruster-actuated underwater vehicle manipulator system : modeling, analysis and control." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS067.

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L’industrie offshore, pétrolière et gazière est le principal utilisateur des robots sous-marins, plus particulièrement de véhicules télé-opérés (ou ROV, Remotely Operated Vehicle). L'inspection, la construction et la maintenance de diverses installations sous-marines font parties des applications habituelles des ROVs dans l’industrie offshore. La capacité à maintenir un positionnement stable du véhicule ainsi qu’à soulever et déplacer des charges lourdes est essentielle pour certaines de ces applications. Les capacités de levage des ROVs sont cependant limitées par la puissance de leur propuls
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Lauwers, Tom. "Aligning Capabilities of Interactive Educational Tools to Learner Goals." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/556.

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This thesis is about a design process for creating educationally relevant tools. I submit that the key to creating tools that are educationally relevant is to focus on ensuring a high degree of alignment between the designed tool and the broader educational context into which the tool will be integrated. The thesis presents methods and processes for creating a tool that is both well aligned and relevant. The design domain of the thesis is described by a set of tools I refer to as “Configurable Embodied Interfaces”. Configurable embodied interfaces have a number of key features, they: Can sen
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Libros sobre el tema "Robotic Capabilites"

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W, Jackson Stewart, and United States. National Aeronautics and Space Administration., eds. Manned Mission on-orbit operations FTS capabilities assessment: Final report. Fairchild Space Co., 1993.

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W, Jackson Stewart, and United States. National Aeronautics and Space Administration., eds. Manned Mars Mission on-orbit operations FTS capabilities assessment: Final report. Fairchild Space Co., 1993.

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1938-, Zuech Nello, ed. Machine vision: Capabilities for industry. Machine Vision Association of SME, Publications Development Dept., Marketing Division, 1986.

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Rossini, Luca, Dario Izzo, and Leopold Summerer. Brain machine interfaces for space applications: Enhancing astronaut capabilities. Academic, 2009.

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Astronomical Society of the Pacific. Annual meeting, ed. Robotic telescopes: Current capabilities, present developments, and future prospects for automated astronomy : background for the 106th annual meeting of the Astronomical Society of the Pacific. Astronomical Society of the Pacific, 1994.

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W, Henry Gregory, Eaton Joel A, and Astronomical Society of the Pacific. Meeting, eds. Robotic telescopes: Current capabilities, present developments, and future prospects for automated astronomy : proceedings of a symposium held as part of the 106th annual meeting of the Astronomical Society of the Pacific, Flagstaff, Arizona, 28-30 June 1994. Astronomical Society of the Pacific, 1995.

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Cangelosi, Angelo, and Minoru Asada, eds. Cognitive Robotics. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/13780.001.0001.

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The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offerin
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Springer, Paul J. Outsourcing War to Machines. ABC-CLIO, LLC, 2018. http://dx.doi.org/10.5040/9798400694707.

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Military robots are affecting both the decision to go to war and the means by which wars are conducted. This book covers the history of military robotics, analyzes their current employment, and examines the ramifications of their future utilization. Robotic systems are the future of military conflicts: their development is already revolutionizing the nature of human conflict—and eroding the standards of acceptable behavior in wartime. Written by a professor who teaches strategy and leadership for the U.S. Air Force, one of the global leaders in the development and utilization of military robot
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Prescott, Tony J. Mammals and mammal-like robots. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0045.

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Mammals are warm-blooded tetrapod vertebrates that evolved from reptilian ancestors during the late Triassic period around 225 million years ago. This chapter focuses on some of the most distinctive mammalian characteristics and on integrated robotic systems that seek to capture these capabilities in biomimetic artifacts. Topics covered include the mammalian brain, novel sensory systems, agile locomotion, dextrous grasp, and social cognition. Attempts to build integrated robotic systems that broadly match the behaviour and appearance of specific mammalian species have focused most strongly on
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Ayers, Joseph. Biohybrid robots are synthetic biology systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0051.

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This chapter describes how synthetic biology and organic electronics can integrate neurobiology and robotics to form a basis for biohybrid robots and synthetic neuroethology. Biomimetic robots capture the performance advantages of animal models by mimicking the behavioral control schemes evolved in nature, based on modularized devices that capture the biomechanics and control principles of the nervous system. However, current robots are blind to chemical senses, difficult to miniaturize, and require chemical batteries. These obstacles can be overcome by integration of living engineered cells.
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Capítulos de libros sobre el tema "Robotic Capabilites"

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Operto, Fiorella. "Elements of Roboethics." In Makers at School, Educational Robotics and Innovative Learning Environments. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77040-2_10.

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AbstractRoboethics analyzes the ethical, legal and social aspects of robotics, especially with regard to advanced robotics applications. These issues are related to liability, the protection of privacy, the defense of human dignity, distributive justice and the dignity of work. Today, roboethics is becoming an important component in international standards for advanced robotics, and in various aspects of artificial intelligence. An autonomous robot endowed with deep learning capabilities shows specificities in terms of its growing autonomy and decision-making functions and, thus, gives rise to new ethical and legal issues. The learning models for a care robot assisting an elderly person or a child must be free of bias related to the selected attributes and should not be subject to any stereotypes unintentionally included in their design. As roboethics goes hand in hand with developments in robotics applications, it should be the concern of all actors in the field, from designers and manufacturers to users. There is one very important element in this—albeit one that is related indirectly—that should not be overlooked: namely, how robotics and robotic applications are represented to the general public. Of the many representations, the legacy of mythology, science fiction and the legend still play an important role. The world of robotics is often marked by icons and images from literature. Exaggerated expectations of their functions, magical descriptions of their behavior, over-anthropomorphization, insistence on their perfection and their rationality compared to that of humans are only some of the false qualities attributed to robotics.
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Rodriguez, Alberto, Matthew T. Mason, and Siddhartha S. Srinivasa. "Manipulation Capabilities with Simple Hands." In Experimental Robotics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-28572-1_20.

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Nuccio, Carlo, Agnese Augello, Salvatore Gaglio, and Giovanni Pilato. "Interaction Capabilities of a Robotic Receptionist." In Intelligent Interactive Multimedia Systems and Services 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59480-4_18.

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Khodabandehloo, K., and P. T. Clarke. "Capabilities and potential of robotics." In Robotics in Meat, Fish and Poultry Processing. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2129-7_1.

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Ruiz Garcia, Manuel A., Erwin Rauch, Renato Vidoni, and Dominik T. Matt. "AI and ML for Human-Robot Cooperation in Intelligent and Flexible Manufacturing." In Implementing Industry 4.0 in SMEs. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70516-9_3.

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AbstractHuman–robot cooperation aims to increase the flexibilization of manufacturing systems. This requires safe human–machine interaction (e.g. with collaborative robots) as well as self and environment awareness capabilities to interact autonomously and smartly between humans and machines. Therefore, the goal of this chapter is to conceptualize and identify the set of real-time information processing and decision-making capabilities required for collaborative robots to be considered as a safe companion in the context of human–robot cooperation (HRC). In particular, the chapter provides an overview of appropriate artificial intelligence (AI) and machine learning (ML) concepts, formally introduces the concept of a safety-aware cyber-physical system and defines a general taxonomy for the perceptive and cognitive problems arising in the context of intelligent and flexible HRC.
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Darapureddy, Nagadevi, Muralidhar Kurni, and Saritha K. "A Comprehensive Study on Artificial Intelligence and Robotics for Machine Intelligence." In Methodologies and Applications of Computational Statistics for Machine Intelligence. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7701-1.ch011.

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Artificial intelligence (AI) refers to science-generating devices with functions like reasoning, thinking, learning, and planning. A robot is an intelligent artificial machine capable of sensing and interacting with its environment utilizing integrated sensors or computer vision. In the present day, AI has become a more familiar presence in robotic resolutions, introducing flexibility and learning capabilities. A robot with AI provides new opportunities for industries to produce work safer, save valuable time, and increase productivity. Economic impact assessment and awareness of the social, legal, and ethical problems of robotics and AI are essential to optimize the advantages of these innovations while minimizing adverse effects. The impact of AI and robots affects healthcare, manufacturing, transport, and jobs in logistics, security, retail, agri-food, and construction. The chapter outlines the vision of AI, robot's timeline, highlighting robot's limitations, hence embedding AI to robotic real-world applications to get an optimized solution.
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Muratore, Luca, Arturo Laurenzi, and Nikos G. Tsagarakis. "XBot: A Cross-Robot Software Framework for Real-Time Control." In Robotics Software Design and Engineering. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97066.

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The widespread use of robotics in new application domains outside the industrial workplace settings requires robotic systems which demonstrate functionalities far beyond that of classical industrial robotic machines. The implementation of these capabilities inevitably increases the complexity of the robotic hardware, control a and software components. This chapter introduces the XBot software architecture for robotics, which is capable of Real-Time (RT) performance with minimum jitter at relatively high control frequency while demonstrating enhanced flexibility and abstraction features making it suitable for the control of robotic systems of diverse hardware embodiment and complexity. A key feature of the XBot is its cross-robot compatibility, which makes possible the use of the framework on different robots, without code modifications, based only on a set of configuration files. The design of the framework ensures easy interoperability and built-in integration with other existing software tools for robotics, such as ROS, YARP or OROCOS, thanks to a robot agnostic API called XBotInterface. The framework has been successfully used and validated as a software infrastructure for collaborative robotic arms as KUKA lbr iiwa/lwr 4+ and Franka Emika Panda, other than humanoid robots such as WALK-MAN and COMAN+, and quadruped centaur-like robots as CENTAURO.
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Gowda V., Dankan, Kirti Rahul Kadam, Suma S. G., Shrikant D. Bhopale, and R. Nithya. "Scaling Robot Intelligence With Cloud-Based Cloning Platforms." In Advances in Computational Intelligence and Robotics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1914-7.ch007.

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Robotics needs to be applied in many different areas which requires the existence of better-quality platforms whose performance and function can be refined. The cloud and robotic cloning in this chapter offer an innovative idea. As a result, utilizing the immense capabilities and scalability of cloud computing can only make robotic systems better and more capable in multi-robot cooperative scenarios. The chapter offers an outline of the theoretical foundations, advantages, possible concurrent applications, and future direction for cloud-based cloning platforms. By exploring the subject in depth, readers will discover how cloud-based cloning platforms can play the role of a major enabling factor making scaling up intelligence and capability possible as multi-robot systems open new frontiers for robotics.
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D’Silva, Blaren, and Rathishchandra R. Gatti. "Applications of AI-enabled Robotics in Healthcare." In IoT and Big Data Analytics. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815196054123050018.

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Robotics began roughly 30 years ago in medical applications, but it is still relatively young for biological applications. Because of the precision, accuracy and reproducibility of robotic technology, robotic interventions in medical fields, such as robotic surgery, can enable doctors to work inside the human body, which is either non-invasive or minimally invasive, with improved surgical results. The importance of medical robots in the medical sector is intended to deliver good outcomes to assist people in doing complex tasks that need a significant amount of time, accuracy, concentration, and other routines that cannot be accomplished solely through human capability. Due to advancements in AI and IoT and their convergence to AIoT, the potential of medical robots has tremendously increased in the healthcare industry. The chapter outlines the various applications of robotics in the healthcare sector, including surgical, rehabilitation, telemedicine, and diagnostic. The advantages of robotics in Healthcare are highlighted, along with the discussion on the current and future challenges in their deployment and adoption. The role of AIoT in enhancing these healthcare robots' cognitive and other capabilities is also discussed. Finally, the future of robotics in Healthcare is explored, including emerging trends and technologies, their impact on the healthcare industry, and the potential for innovation and growth.
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Barua, Ranjit. "The Emerging Potential of 21st Century Bio-Inspired Swarm Robotics in Modern Medical Surgery." In Bio-inspired Swarm Robotics and Control. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1277-3.ch003.

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Bio-inspired swarm robotics in medical surgery involves taking inspiration from the collective behaviors and coordination strategies observed in natural swarms, such as ants, bees, fish schools, and bird flocks, and applying these principles to develop robotic systems for medical procedures. This innovative approach holds the potential to revolutionize various aspects of medical surgery. In swarm robotics, individual robots work together to accomplish tasks that are beyond the capabilities of a single robot. Similarly, in surgery, a group of small robots could collaborate to perform complex tasks like tissue manipulation, suturing, or assisting in delicate procedures. This chapter aims to offer a synopsis of the current state of swarm robotics technology in analysis, research potentials, and applications in the modern medical field.
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Actas de conferencias sobre el tema "Robotic Capabilites"

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Banjanović-Mehmedović, Lejla, Anel Husaković, Azra Gurdić Ribić, Naser Prljača, and Isak Karabegović. "Advancements in Robotic Intelligence: The Role of Computer Vision, DRL, Transformers and LLMs." In Artificial Intelligence in Industry 4.0: The future that comes true. Academy of Sciences and Arts of Bosnia and Herzegovina, 2024. http://dx.doi.org/10.5644/pi2024.215.05.

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In recent advancements in robotics, Artificial Intelligence (AI) methods such as Deep Learning, Deep Reinforcement Learning (DRL), Transformers, and Large Language Models (LLMs) have significantly enhanced robotic capabilities. Key AI models driving advancements in robotic vision include Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), the DEtection Transformers (DETR), the YOLO family of algorithms, segmentation techniques, and 3D vision technologies. Deep Reinforcement Learning (DRL), an AI technique where agents learn optimal behaviors through trial and error interactions w
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Schilberg, Daniel, Jelena Borovica, Lea Vianden, Meiko Litzba, and Florian Millmann. "Robots in Popular Sciences Compared with their Real Capabilities." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002316.

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In this paper, statements from popular science sources are contrasted with data from primary science articles and studies. It is observed to what extent the opinions and statements of the popular science articles differ from the studies and scientific articles in terms of ethics and acceptance. For this purpose, the field is divided into 4 fields, which are processed independently.To begin with, the industrial robots are examined. These are used in the area of production as well as in the area of maintenance and repair. These robots are able to learn from each other and to work with each other
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Moreno-Rueda, David, Cole Maynard, Julio Hernandez, Tyler Tallman, Jose Garcia, and Brittany Newell. "3D Printed Flexible Gripper With Capacitance Sensing." In ASME 2023 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/smasis2023-110732.

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Abstract Soft robotics has changed the way people think and interact with robots. Robots were traditionally perceived as metallic rigid structures. However, soft-robot implementation has become essential in many medical devices (where conditions are highly dynamic and are susceptible to physical contact), smartphones, and industrial and human-robot applications. Some of the key features these devices offer are high dexterity, compliance, large amplitude, repeatability of motion, and improved safety. Pneumatic actuation is the dominant technology in soft robotics in terms of ease of implementat
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Fan, Hongyi, Adnan Munawar, Manish Sahu, Russell Taylor, and Peter Kazanzides. "Integrating a Real-time Surgical Robot Dynamic Simulator with 3D Slicer." In THE HAMLYN SYMPOSIUM ON MEDICAL ROBOTICS. The Hamlyn Centre, Imperial College London London, UK, 2023. http://dx.doi.org/10.31256/hsmr2023.45.

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Background Medical robotics, particularly image- guided robotic systems, have revolutionized the surgical field by improving precision and accuracy. 3D Slicer(1), an open-source platform, has become a crucial tool in this field as it allows for visualization, processing, and registration of 2D and 3D medical imaging data, making it an essential component in current research in robotic intervention(2) (3). However, there is a missing compo- nent in 3D Slicer - a native physics engine for simulating the interaction of a robot with the anatomy. AMBF(4), an open-source software, was designed to ad
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Saber, Omid, and Hassan Zohoor. "Workspace Analysis of a Cable-Suspended Robot With Active/Passive Cables." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12646.

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Cable-driven parallel robots have several outstanding characteristics that make them unique in many robotic applications. Since cables can only pull, one of the most important issues associated with these robots is obtaining their workspace. In this paper a spatial translational cable-driven robot with active/passive cables is considered and its workspace is investigated from several points of views. First the moment resisting capability of the robot is discussed and the effects of some robot’s parameters on the workspace are studied. Then, both force-feasibility and moment-resisting capabilit
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Umbrico, Alessandro, Gabriella Cortellessa, Andrea Orlandini, and Amedeo Cesta. "Modeling Affordances and Functioning for Personalized Robotic Assistance." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/94.

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A key aspect of robotic assistants is their ability to contextualize their behavior according to different needs of assistive scenarios. This work presents an ontology-based knowledge representation and reasoning approach supporting the synthesis of personalized behavior of robotic assistants. It introduces an ontological model of health state and functioning of persons based on the International Classification of Functioning, Disability and Health. Moreover, it borrows the concepts of affordance and function from the literature of robotics and manufacturing and adapts them to robotic (physica
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Rosati, Giulio, Riccardo Secoli, Damiano Zanotto, Aldo Rossi, and Giovanni Boschetti. "Planar Robotic Systems for Upper-Limb Post-Stroke Rehabilitation." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67273.

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Rehabilitation is the only way to promote recovery of lost function in post-stroke hemiplegic subjects, leading to independence and early reintegration into social and domestic life. In particular, upper limb rehabilitation is fundamental to regain ability in Activities of Daily Living (ADLs). Robot-aided rehabilitation is an emerging field seeking to employ leading-edge robotic systems to increase patient recovery in the rehabilitation treatment. Even though the effectiveness of robotic therapy is still being discussed, the use of robotic devices can increase therapists’ efficiency by allevia
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Pholsiri, Chalongrath, Chetan Kapoor, and Delbert Tesar. "Real-Time Robot Capability Analysis." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84353.

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Robot Capability Analysis (RCA) is a process in which force/motion capabilities of a manipulator are evaluated. It is very useful in both the design and operational phases of robotics. Traditionally, ellipsoids and polytopes are used to both graphically and numerically represent these capabilities. Ellipsoids are computationally efficient but tend to underestimate while polytopes are accurate but computationally intensive. This article proposes a new approach to RCA called the Vector Expansion (VE) method. The VE method offers accurate estimates of robot capabilities in real time and therefore
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Liao, Hao-Yu, Terrin Pulikottil, Jef R. Peeters, and Sara Behdad. "A Disassembly Score for Human-Robot Collaboration Considering Robots’ Capabilities." In ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/detc2024-143517.

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Abstract Product disassembly is essential for remanufacturing operations and recovery of end-of-use devices. However, disassembly has often been performed manually with significant safety issues for human workers. Recently, human-robot collaboration has become popular to reduce the human workload and handle hazardous materials. However, due to the current limitations of robots, they are not fully capable of performing every disassembly task. It is critical to determine whether a robot can accomplish a specific disassembly task. This study develops a disassembly score which represents how easy
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Van Lewen, Daniel, Taylor Janke, Harin Lee, Ryan Austin, Ehab Billatos, and Sheila Russo. "A Fluidic Actuated Soft Robot for Improving Bronchoscopic Biopsy." In THE HAMLYN SYMPOSIUM ON MEDICAL ROBOTICS. The Hamlyn Centre, Imperial College London London, UK, 2023. http://dx.doi.org/10.31256/hsmr2023.48.

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Lung cancer has long been one of the deadliest forms of cancer in large part due to the difficulty in diagnosis when at its earlier stages [1]. Because of their large diameter (i.e., ≈ 6 mm) preventing them from navigating in the peripheral lung, traditional bronchoscopes used in minimally invasive biopsy encounter difficulty when trying to reach smaller, deep-seated lesions [2]. Robotic solutions have been developed to address these limitations in surgical navigation. Commercial robotic bronchoscopy systems, like the Auris Monarch™ and Intuitive Ion™ , con- sist of tendon-actuated continuum r
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Informes sobre el tema "Robotic Capabilites"

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Groot, K. J. Robotic capabilities for printed wiring assembly processing. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5121973.

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Kornelakis, Andreas, Chiara Benassi, Damian Grimshaw, and Marcela Miozzo. Robots at the Gates? Robotic Process Automation, Skills and Institutions in Knowledge-Intensive Business Services. Digital Futures at Work Research Centre, 2022. http://dx.doi.org/10.20919/vunu3389.

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Against the backdrop of the fourth industrial revolution, this paper examines the emergence of Robotic Process Automation (RPA) as one of the new technologies that are shaping the future of work and reconfiguring sectoral business and innovation systems and models. It discusses how the institutional context can potentially mediate the digital transformation of services, how RPA affects workers’ employment and skills, and how it alters inter-organisational relationships and capabilities. Bringing together different strands of academic literature on employment studies, innovation, and technology
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Hosoi, Anette. Enabling Novel Minimally-Actuated Robotic Capabilities Through Active Fluids. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada606388.

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Barnes, Evan A. Capability Driven Robotic Swarms in Reconnaissance-Based Operations. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada486673.

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Bak, A. Spicer, Patrick Durkin, Brittany Bruder, Matthew Saenz, Michael Forte, and Katherine Brodie. Amphibious uncrewed ground vehicle for coastal surfzone survey. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48130.

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The capability of a commercial off-the-shelf amphibious bottom crawling robot is explored for surveying seamless topography and bathymetry across the beachface, surfzone, and very nearshore. A real-time-kinematic (RTK) antenna on a mast was added to the robotic platform, a Bayonet-350 (previously the C2i SeaOx). Data collected from the robot were compared with those collected by the Coastal Research Amphibious Buggy (CRAB) and the Lighter Amphibious Resupply Cargo (LARC), unique amphibious vessels capable of collecting seamless topography and bathymetry in use for decades at the US Army Engine
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Falco, Joe, Jeremy Marvel, Rick Norcross, and Karl Van Wyk. Benchmarking Robot Force Control Capabilities: Experimental Results. National Institute of Standards and Technology, 2016. http://dx.doi.org/10.6028/nist.ir.8097.

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Ravi, Atul. The Impact of Robots and Automation Systems on Globalization: A Comprehensive Analysis. Intellectual Archive, 2024. http://dx.doi.org/10.32370/iaj.3032.

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In recent years, the use of robots across various industries has grown paramount. Robots and automation technologies have played a significant impact in various aspects including productivity growth, reshoring opportunities, and customization capabilities for consumers, and have also helped foster international collaboration between nations and businesses. This article does an empirical analysis with the help of case studies to analyse the impact of automation and robots on various industries by discussing their pros and cons. It is also found that although robots have a very positive impact i
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Cook, Joshua, Laura Ray, and James Lever. Dynamics modeling and robotic-assist, leader-follower control of tractor convoys. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43202.

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This paper proposes a generalized dynamics model and a leader-follower control architecture for skid-steered tracked vehicles towing polar sleds. The model couples existing formulations in the literature for the powertrain components with the vehicle-terrain interaction to capture the salient features of terrain trafficability and predict the vehicles response. This coupling is essential for making realistic predictions of the vehicles traversing capabilities due to the power-load relationship at the engine output. The objective of the model is to capture adequate fidelity of the powertrain an
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Matson, Eric, and Scott DeLoach. Using Dynamic Capability Evaluation to Organize a Team of Cooperative, Autonomous Robots. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada451686.

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Wyatt, Austin, Joanne Nicholson, Marigold Black, and Andrew Dowse. Understanding How to Scale and Accelerate the Adoption of Robotic and Autonomous Systems into Deployable Capability Phase 1—Identifying Barriers. Australian Army Research Centre, 2024. http://dx.doi.org/10.61451/267504.

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