Academic literature on the topic 'Haptics, Robotics, Human guidance, Engineering'

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Journal articles on the topic "Haptics, Robotics, Human guidance, Engineering"

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Kanai, Satoshi, and Jouke C. Verlinden. "Special Issue on Augmented Prototyping and Fabrication for Advanced Product Design and Manufacturing." International Journal of Automation Technology 13, no. 4 (2019): 451–52. http://dx.doi.org/10.20965/ijat.2019.p0451.

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“Don’t automate, augment!” This is the takeaway of the seminal book on the future of work by Davenport and Kirby.*1 The emergence of cyber-physical systems makes radical new products and systems possible and challenges the role of humankind. Throughout the design, manufacturing, use, maintenance, and end-of-life stages, digital aspects (sensing, inferencing, connecting) influence the physical (digital fabrication, robotics) and vice versa. A key takeaway is that such innovations can augment human capabilities to extend our mental and physical skills with computational and robotic support – a n
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Klatzky, Roberta L., Susan J. Lederman, and J. D. Balakrishnan. "Task–Driven Extraction of Object Contour by Human Haptics: Part 1." Robotica 9, no. 1 (1991): 43–51. http://dx.doi.org/10.1017/s0263574700015551.

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SUMMARYThe extraction of contour information from objects is essential for purposes of grasping and manipulation. We proposed that human haptic exploration of contours, in the absence of vision, would reveal specialized patterns. Task goals and intrinsic system capacities were assumed to constrain the breadth of processing and the precision with which contour is encoded, thus determining parameters of exploration and ultimately producing movement synergies or “contour exploration procedures.” A methodology for testing these assumptions is described, and the most frequently observed procedures
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Galambos, Péter, Péter Baranyi, and Gusztáv Arz. "Tensor product model transformation-based control design for force reflecting tele-grasping under time delay." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 4 (2013): 765–77. http://dx.doi.org/10.1177/0954406213490375.

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The improvement of direct human–robot physical interaction has recently become one of the strongest motivation factors in robotics research. Impedance/admittance control methods are key technologies in several directions of advanced robotics such as dexterous manipulation, haptics and telemanipulation. In this paper, we propose a control scheme and a design technique for stabilising shared impedance/admittance-based bilateral telemanipulation under varying time delay. The proposed scheme introduces delay-adaptive non-linear damping to stabilise the impedance model. A modified version of the te
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Ramirez-Zamora, Juan Daniel, Omar Arturo Dominguez-Ramirez, Luis Enrique Ramos-Velasco, et al. "HRpI System Based on Wavenet Controller with Human Cooperative-in-the-Loop for Neurorehabilitation Purposes." Sensors 22, no. 20 (2022): 7729. http://dx.doi.org/10.3390/s22207729.

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There exist several methods aimed at human–robot physical interaction (HRpI) to provide physical therapy in patients. The use of haptics has become an option to display forces along a given path so as to it guides the physiotherapist protocol. Critical in this regard is the motion control for haptic guidance to convey the specifications of the clinical protocol. Given the inherent patient variability, a conclusive demand of these HRpI methods is the need to modify online its response with neither rejecting nor neglecting interaction forces but to process them as patient interaction. In this pa
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Almeida, Luis, Paulo Menezes, and Jorge Dias. "Telepresence Social Robotics towards Co-Presence: A Review." Applied Sciences 12, no. 11 (2022): 5557. http://dx.doi.org/10.3390/app12115557.

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Telepresence robots are becoming popular in social interactions involving health care, elderly assistance, guidance, or office meetings. There are two types of human psychological experiences to consider in robot-mediated interactions: (1) telepresence, in which a user develops a sense of being present near the remote interlocutor, and (2) co-presence, in which a user perceives the other person as being present locally with him or her. This work presents a literature review on developments supporting robotic social interactions, contributing to improving the sense of presence and co-presence v
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Trovato, Gabriele, Alexander Lopez, Renato Paredes, Diego Quiroz, and Francisco Cuellar. "Design and Development of a Security and Guidance Robot for Employment in a Mall." International Journal of Humanoid Robotics 16, no. 05 (2019): 1950027. http://dx.doi.org/10.1142/s0219843619500270.

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Among the possible fields in human society in which robotics can be applied, the possibility of a robotic guard has been imagined since long time. Human guards usually perform a range of tasks in which a robot can provide help. Security personnel not only perform security tasks and patrolling services, but also have to interact with people, providing additional information about the area they safeguard. In this paper, we present the design, development and preliminary tests of RobotMan, an anthropomorphic robot commissioned by a security company that should serve in security roles, such as pat
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Bayat, Behzad, Julita Bermejo-Alonso, Joel Carbonera, et al. "Requirements for building an ontology for autonomous robots." Industrial Robot: An International Journal 43, no. 5 (2016): 469–80. http://dx.doi.org/10.1108/ir-02-2016-0059.

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Purpose IEEE Ontologies for Robotics and Automation Working Group were divided into subgroups that were in charge of studying industrial robotics, service robotics and autonomous robotics. This paper aims to present the work in-progress developed by the autonomous robotics (AuR) subgroup. This group aims to extend the core ontology for robotics and automation to represent more specific concepts and axioms that are commonly used in autonomous robots. Design/methodology/approach For autonomous robots, various concepts for aerial robots, underwater robots and ground robots are described. Componen
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Dong, Yiqun, Jianliang Ai, and Jiquan Liu. "Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 16 (2019): 5943–91. http://dx.doi.org/10.1177/0954410019889447.

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The Autonomous Air Combat technique has been a lasting research topic for decades. However, no complete solutions seem to have appeared because of the highly dynamic and complex nature of the Autonomous Air Combat problem. In devising the Autonomous Air Combat solutions, we follow similar methodologies in the robotics community, and divide the overall scheme into two folds: the perception of other (enemy/friendly) aircraft, and the guidance/control for own aircraft. While the perception in the first fold serves as a foundation, this paper is mainly focused on the second one. Based on our surve
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Sosa-Ceron, Arturo Daniel, Hugo Gustavo Gonzalez-Hernandez, and Jorge Antonio Reyes-Avendaño. "Learning from Demonstrations in Human–Robot Collaborative Scenarios: A Survey." Robotics 11, no. 6 (2022): 126. http://dx.doi.org/10.3390/robotics11060126.

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Human–Robot Collaboration (HRC) is an interdisciplinary research area that has gained attention within the smart manufacturing context. To address changes within manufacturing processes, HRC seeks to combine the impressive physical capabilities of robots with the cognitive abilities of humans to design tasks with high efficiency, repeatability, and adaptability. During the implementation of an HRC cell, a key activity is the robot programming that takes into account not only the robot restrictions and the working space, but also human interactions. One of the most promising techniques is the s
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Alnajjar, Fady, Abdul Rahman Hafiz, and Kazuyuki Murase. "HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot." Journal of Robotics 2010 (2010): 1–13. http://dx.doi.org/10.1155/2010/241785.

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To advance robotics toward real-world applications, a growing body of research has focused on the development of control systems for humanoid robots in recent years. Several approaches have been proposed to support the learning stage of such controllers, where the robot can learn new behaviors by observing and/or receiving direct guidance from a human or even another robot. These approaches require dynamic learning and memorization techniques, which the robot can use to reform and update its internal systems continuously while learning new behaviors. Against this background, this study investi
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