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Journal articles on the topic 'Robotic hands'

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1

Parida, P. K., Bibhuti Bhusan Biswal, and M. R. Khan. "Kinematic Modeling and Analysis of a Multifingered Robotic Hand." Advanced Materials Research 383-390 (November 2011): 6684–88. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.6684.

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Precise and secure handling of flexible or irregularly shaped objects by robotic hands has become a challenge. Robot hands used in medical robotics and rehabilitation robotics need to be anthropomorphic to do the desired tasks. Although it is possible to develop robotic hands which can be very closely mapped to human hands, it is sometimes poses several problems due to control, manufacturing and economic reasons. The present work aims at designing and developing a robotic hand with five fingers for manipulation of objects. The kinematic modeling and its analysis, as a part of the development p
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Piazza, C., G. Grioli, M. G. Catalano, and A. Bicchi. "A Century of Robotic Hands." Annual Review of Control, Robotics, and Autonomous Systems 2, no. 1 (2019): 1–32. http://dx.doi.org/10.1146/annurev-control-060117-105003.

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This article reports on the state of the art of artificial hands, discussing some of the field's most important trends and suggesting directions for future research. We review and group the most important application domains of robotic hands, extracting the set of requirements that ultimately led to the use of simplified actuation schemes and soft materials and structures—two themes that clearly emerge from our examination of developments over the past century. We provide a comprehensive analysis of novel technologies for the design of joints, transmissions, and actuators that enabled these tr
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Brown, Alan S. "Why Hands Matter." Mechanical Engineering 130, no. 07 (2008): 24–29. http://dx.doi.org/10.1115/1.2008-jul-1.

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This paper illustrates various aspects of technological advancements in designs and functioning of prosthetic hands. Schunk, a top supplier of robotic grippers, believes humanoid hands will make robots more flexible and eliminate tens of thousands of dollars’ worth of auxiliary equipment. Shadow Robot's hand can grip an egg or a pair of pliers. The company is building hands that mimic human motion for service robots, which will act like valets to perform a variety of tasks for their masters. With a hand, a robot could determine if it could get to a part and then configure its hand to get to th
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4

Ozawa, Ryuta. "Wire-driven Robotic Hands." Journal of the Robotics Society of Japan 39, no. 9 (2021): 819–22. http://dx.doi.org/10.7210/jrsj.39.819.

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5

Vazhapilli Sureshbabu, Anand, Giorgio Metta, and Alberto Parmiggiani. "A Systematic Approach to Evaluating and Benchmarking Robotic Hands—The FFP Index." Robotics 8, no. 1 (2019): 7. http://dx.doi.org/10.3390/robotics8010007.

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The evaluation of robotic hands is a subjectively biased, complex process. The fields pertaining to robotic hands are human-centric in nature, making human hands a good standard for benchmark comparisons of robotic hands. To achieve this, we propose a new evaluation index, where we evaluate robotic hands on three fronts: their form, features and performance. An evaluation on how anthropomorphic robotic hands are in basic mobility, and appearance constitutes the “Form”, while features that can be read, changed and actuated for effective control of robotic hands constitutes the “Features”. We de
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Tian, Li, Jianmin Zheng, Nadia Magnenat Thalmann, et al. "Design of a Single-Material Complex Structure Anthropomorphic Robotic Hand." Micromachines 12, no. 9 (2021): 1124. http://dx.doi.org/10.3390/mi12091124.

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In the field of robotic hand design, soft body and anthropomorphic design are two trends with a promising future. Designing soft body anthropomorphic robotic hands with human-like grasping ability, but with a simple and reliable structure, is a challenge that still has not been not fully solved. In this paper, we present an anatomically correct robotic hand 3D model that aims to realize the human hand’s functionality using a single type of 3D-printable material. Our robotic hand 3D model is combined with bones, ligaments, tendons, pulley systems, and tissue. We also describe the fabrication me
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Jones, Lynette. "Dextrous Hands: Human, Prosthetic, and Robotic." Presence: Teleoperators and Virtual Environments 6, no. 1 (1997): 29–56. http://dx.doi.org/10.1162/pres.1997.6.1.29.

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The sensory and motor capacities of the human hand are reviewed in the context of providing a set of performance characteristics against which prosthetic and dextrous robot hands can be evaluated. The sensors involved in processing tactile, thermal, and proprioceptive (force and movement) information are described, together with details on their spatial densities, sensitivity, and resolution. The wealth of data on the human hand's sensory capacities is not matched by an equivalent database on motor performance. Attempts at quantifying manual dexterity have met with formidable technological dif
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8

Subad, Rafsan Al Shafatul Islam, Liam B. Cross, and Kihan Park. "Soft Robotic Hands and Tactile Sensors for Underwater Robotics." Applied Mechanics 2, no. 2 (2021): 356–83. http://dx.doi.org/10.3390/applmech2020021.

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Research in the field of underwater (UW) robotic applications is rapidly developing. The emergence of coupling the newest technologies on submersibles, different types of telecommunication devices, sensors, and soft robots is transforming the rigid approach to robotic design by providing solutions that bridge the gap between accuracy and adaptability in an environment where there is so much fluctuation in object targeting and environmental conditions. In this paper, we represent a review of the history, development, recent research endeavors, and projected outlook for the area of soft robotics
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9

Pozzi, Maria, Sara Marullo, Gionata Salvietti, Joao Bimbo, Monica Malvezzi, and Domenico Prattichizzo. "Hand closure model for planning top grasps with soft robotic hands." International Journal of Robotics Research 39, no. 14 (2020): 1706–23. http://dx.doi.org/10.1177/0278364920947469.

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Automating the act of grasping is one of the most compelling challenges in robotics. In recent times, a major trend has gained the attention of the robotic grasping community: soft manipulation. Along with the design of intrinsically soft robotic hands, it is important to devise grasp planning strategies that can take into account the hand characteristics, but are general enough to be applied to different robotic systems. In this article, we investigate how to perform top grasps with soft hands according to a model-based approach, using both power and precision grasps. The so-called closure si
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10

Watanabe, Tetsuyou. "Manipulation with Soft Robotic Hands." Journal of the Robotics Society of Japan 37, no. 1 (2019): 30–33. http://dx.doi.org/10.7210/jrsj.37.30.

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11

Gama Melo, Erika Nathalia, Oscar Fernando Avilés Sánchez, and Darío Amaya Hurtado. "Anthropomorphic robotic hands: a review." ingeniería y desarrollo 32, no. 2 (2014): 279–313. http://dx.doi.org/10.14482/inde.32.2.4715.

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12

Bahrin, Syed Zainal Abidin Syed Kamarul, and Khairul Salleh Mohamed Sahari. "Initial Development of a Master-Slave Controller for a Five-Fingered Robotic Hand Design by Using Pressure Sensors Comparator Technique." International Journal of Engineering & Technology 7, no. 4.35 (2018): 765. http://dx.doi.org/10.14419/ijet.v7i4.35.23104.

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There are numerous robotic hand designs but the five-fingered robotic hand design is the most dexterous robotic hand design due to its similar appearance and motions with the human hands. The five-fingered robotic hands are commonly controlled or governed through a master-slave system that can be accomplished by using simple preset motions or other complicated and advanced technologies. However, a five-fingered robotics hand can also be controlled by a novel approach known as pressure sensors comparator technique. This technique compares the values from the pressure sensors that are strategica
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13

HANAFUSA, Hideo. "Special Issue: Sensor-Based-Robotic Hands. On Robot Hands." Journal of the Robotics Society of Japan 11, no. 7 (1993): 934–37. http://dx.doi.org/10.7210/jrsj.11.934.

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14

Zhu, Dong Hong, and Ya Ping Chang. "Robot with humanoid hands cooks food better?" International Journal of Contemporary Hospitality Management 32, no. 3 (2020): 1367–83. http://dx.doi.org/10.1108/ijchm-10-2019-0904.

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Purpose Robotic chefs are starting to replace human chefs in restaurant industry. Whether customers have a good food quality prediction may have an important effect on their patronage decision. Based on the stereotype content model, the purpose of this paper is to investigate the impact of robotic chef anthropomorphism on food quality prediction through warmth and competence. Design/methodology/approach An empirical analysis was done to test the theoretical model by using the SmartPLS software. A nonhuman-like robotic chef and a robotic chef with humanoid hands were used as background material
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15

Bogue, Robert. "Recent developments in robotic tactile perception." Industrial Robot: An International Journal 44, no. 5 (2017): 565–70. http://dx.doi.org/10.1108/ir-06-2017-0106.

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Purpose This paper aims to provide details of recent developments in robotic tactile sensing. Design/methodology/approach Following a short introduction, this paper first provides an overview of tactile sensing effects and technologies. It then discusses recent developments in tactile sensing skins. Tactile sensing for robotic prosthetics and hands is then considered and is followed by a discussion of “tactile intelligence”. Various experimental results are included. Finally, brief concluding comments are drawn. Findings This shows that many advanced, sensitive and technologically varied tacti
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16

Mohr, George C. "Robotic Telepresence." Proceedings of the Human Factors Society Annual Meeting 30, no. 1 (1986): 43–44. http://dx.doi.org/10.1177/154193128603000110.

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The Air Force sees a need for a militarized robot, designed to perform flight line maintenance and repair operations during a chemical/biological/radiological attack, or to assist man in space operations such as constructing a space station or performing such tasks as satellite inspection, diagnosis, repair, modification or deactivation. Obviously, these tasks require more than the pre-programmed behavior of an industrial robot. To obtain the high degree of adaptability required, the robot needs either the closed-loop control of a human operator, or a high level “artificial intelligence” capab
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17

Cobb, J., J. Henckel, P. Gomes, et al. "Hands-on robotic unicompartmental knee replacement." Journal of Bone and Joint Surgery. British volume 88-B, no. 2 (2006): 188–97. http://dx.doi.org/10.1302/0301-620x.88b2.17220.

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18

Controzzi, Marco, Marco D'Alonzo, Carlo Peccia, Calogero Maria Oddo, Maria Chiara Carrozza, and Christian Cipriani. "Bioinspired Fingertip for Anthropomorphic Robotic Hands." Applied Bionics and Biomechanics 11, no. 1-2 (2014): 25–38. http://dx.doi.org/10.1155/2014/864573.

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Background: An artificial fingertip with mechanical features and appearance similar to the human fingertip could represent a significant step forward towards the development of the next generation artificial hands. However, so far, a fingertip showing a good trade-off among mechanical features, appearance and anthropomorphism, along with its 3D computational model, is still missing.Objective: To explore and develop an artificial fingertip demonstrating a mechanical response similar to the human fingertip, in order to improve the grasp stability of robotic hands.Methods: Taking inspiration from
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19

Speeter, Thomas H. "Transforming Human Hand Motion for Telemanipulation." Presence: Teleoperators and Virtual Environments 1, no. 1 (1992): 63–79. http://dx.doi.org/10.1162/pres.1992.1.1.63.

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Manipulation by teleoperation (telemanipulation) offers an apparently straightforward and less computationally expensive route toward dextrous robotic manipulation than automated control of multifingered robotic hands. The functional transformation of human hand motions into equivalent robotic hand motions, however, presents both conceptual and analytical problems. This paper reviews and proposes algorithmic methods for transforming the actions of human hands into equivalent actions of slave multifingered robotic hands. Forward positional transformation is considered only, the design of master
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20

Bircher, Walter G., Andrew S. Morgan, and Aaron M. Dollar. "Complex manipulation with a simple robotic hand through contact breaking and caging." Science Robotics 6, no. 54 (2021): eabd2666. http://dx.doi.org/10.1126/scirobotics.abd2666.

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Humans use all surfaces of the hand for contact-rich manipulation. Robot hands, in contrast, typically use only the fingertips, which can limit dexterity. In this work, we leveraged a potential energy–based whole-hand manipulation model, which does not depend on contact wrench modeling like traditional approaches, to design a robotic manipulator. Inspired by robotic caging grasps and the high levels of dexterity observed in human manipulation, a metric was developed and used in conjunction with the manipulation model to design a two-fingered dexterous hand, the Model W. This was accomplished b
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21

Latip, Abdul, and Aristo Hardinata. "Implementation of STEM-Robotics as High School Intra-curricular." THABIEA : JOURNAL OF NATURAL SCIENCE TEACHING 3, no. 1 (2020): 11. http://dx.doi.org/10.21043/thabiea.v3i1.6770.

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The study aim to describe STEM-Robotic implementation as an intra-curricular in regular curriculum. STEM-Robotics is usually implemented as an extracurricular program in many schools. In the 2019/2020 school year, Edu Global Senior High School Bandung implemented STEM-Robotics as an intra-curricular for the ten-grade science program. STEM-Robotic implementation as an intra-curricular based on the challenges of 21st-century learning that lead to innovative creative learning and skills development. The method in this study is descriptive qualitative research method through the observations, ques
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22

Puente, Santiago T., Lucía Más, Fernando Torres, and and Francisco A. Candelas. "Virtualization of Robotic Hands Using Mobile Devices †." Robotics 8, no. 3 (2019): 81. http://dx.doi.org/10.3390/robotics8030081.

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This article presents a multiplatform application for the tele-operation of a robot hand using virtualization in Unity 3D. This approach grants usability to users that need to control a robotic hand, allowing supervision in a collaborative way. This paper focuses on a user application designed for the 3D virtualization of a robotic hand and the tele-operation architecture. The designed system allows for the simulation of any robotic hand. It has been tested with the virtualization of the four-fingered Allegro Hand of SimLab with 16 degrees of freedom, and the Shadow hand with 24 degrees of fre
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23

Hirai, Shinichi, and Zhongkui Wang. "Soft Robotic Hands for Food Material Handling." Journal of the Robotics Society of Japan 37, no. 6 (2019): 489–94. http://dx.doi.org/10.7210/jrsj.37.489.

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24

Noels, H., P. Willemsen, P. F. De Wil, et al. "109 Hands on training in robotic surgery." European Urology Supplements 10, no. 8 (2011): 572. http://dx.doi.org/10.1016/s1569-9056(11)61437-1.

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25

Li, Jiting. "Force optimization of grasping by robotic hands." Chinese Journal of Mechanical Engineering (English Edition) 16, no. 02 (2003): 128. http://dx.doi.org/10.3901/cjme.2003.02.128.

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26

Baraniuk, Chris. "Dextrous robotic hands copy human actions exactly." New Scientist 230, no. 3072 (2016): 24. http://dx.doi.org/10.1016/s0262-4079(16)30811-9.

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27

Guo, G., W. A. Gruver, and Q. Zhang. "Optimal grasps for planar multifingered robotic hands." IEEE Transactions on Systems, Man, and Cybernetics 22, no. 1 (1992): 193–98. http://dx.doi.org/10.1109/21.141325.

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28

Chong, Nak Young, Donghoon Choi, and H. Hong Suh. "A quasistatic manipulation for multifingered robotic hands." KSME Journal 7, no. 3 (1993): 231–41. http://dx.doi.org/10.1007/bf02970968.

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29

Bianchi, Matteo, Jeannette Bohg, Hyungpil Moon, Robert Platt, and Rich Walker. "Robotic Hands, Grasping, And Manipulation [TC Spotlight]." IEEE Robotics & Automation Magazine 28, no. 2 (2021): 131–33. http://dx.doi.org/10.1109/mra.2021.3071898.

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Palli, Gianluca, and Claudio Melchiorri. "Friction compensation techniques for tendon-driven robotic hands." Mechatronics 24, no. 2 (2014): 108–17. http://dx.doi.org/10.1016/j.mechatronics.2013.12.006.

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31

Ohwovoriole, E. N. "Kinematics and Friction in Grasping by Robotic Hands." Journal of Mechanisms, Transmissions, and Automation in Design 109, no. 3 (1987): 398–404. http://dx.doi.org/10.1115/1.3258809.

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Using the extended screw theory, grasping is analyzed in terms of the complete and partial constraint of a rigid body. The underlying kinematic theory is first reviewed and illustrated. The extended screw theory is then used to determine the disturbing and nondisturbing external wrenches, and resulting disturbances for a grasped object. This is a new application of the concept of total freedom based on the idea of component motions and the wrenches that can cause them. Determining the disturbing and nondisturbing wrenches is tantamount to determining the stability of the grasp in regard to tot
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Gabiccini, Marco, Edoardo Farnioli, and Antonio Bicchi. "Grasp analysis tools for synergistic underactuated robotic hands." International Journal of Robotics Research 32, no. 13 (2013): 1553–76. http://dx.doi.org/10.1177/0278364913504473.

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33

Zhang, Li Jian, Rui Qin Hu, Wang Min Yi, Hao Fu, and Lai Ying Tang. "A Study of Flexible Force Control Method on Robotic Assembly for Spacecraft." Applied Mechanics and Materials 681 (October 2014): 79–85. http://dx.doi.org/10.4028/www.scientific.net/amm.681.79.

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For complex spacecraft assembly conditions, how to play effective and flexible robotic characteristics, and improve production efficiency, is the problem needed to solve.this paper presents a flexible force control method on robotic assembly: a 6-axis force/torque sensor is mounted between tools and the end of robots, the operator operates the load by hands directly, and the system can obtain the force/torque information caused by operator’s hands through gravity compensation algorithm, then the force/torque information is used as input parameters to control the robots moving with the hands. T
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Bracci, Stefania, Magdalena Ietswaart, Marius V. Peelen, and Cristiana Cavina-Pratesi. "Dissociable Neural Responses to Hands and Non-Hand Body Parts in Human Left Extrastriate Visual Cortex." Journal of Neurophysiology 103, no. 6 (2010): 3389–97. http://dx.doi.org/10.1152/jn.00215.2010.

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Accumulating evidence points to a map of visual regions encoding specific categories of objects. For example, a region in the human extrastriate visual cortex, the extrastriate body area (EBA), has been implicated in the visual processing of bodies and body parts. Although in the monkey, neurons selective for hands have been reported, in humans it is unclear whether areas selective for individual body parts such as the hand exist. Here, we conducted two functional MRI experiments to test for hand-preferring responses in the human extrastriate visual cortex. We found evidence for a hand-preferr
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Wang, Weitian, Rui Li, Longxiang Guo, Z. Max Diekel, and Yunyi Jia. "Hands-Free Maneuvers of Robotic Vehicles via Human Intentions Understanding Using Wearable Sensing." Journal of Robotics 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/4546094.

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Intelligent robotic vehicles are more and more fully automated, without steering wheels, gas/brake pedals, or gearshifts. However, allowing the human driver to step in and maneuver the robotic vehicle under specific driving requirements is a necessary issue that should be considered. To this end, we propose a wearable-sensing-based hands-free maneuver intention understanding approach to assist the human to naturally operate the robotic vehicle without physical contact. The human intentions are interpreted and modeled based on the fuzzy control using the forearm postures and muscle activities i
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36

Miller, A., P. Allen, V. Santos, and F. Valero‐Cuevas. "From robotic hands to human hands: a visualization and simulation engine for grasping research." Industrial Robot: An International Journal 32, no. 1 (2005): 55–63. http://dx.doi.org/10.1108/01439910510573309.

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37

Biswal, Bibhuti Bhusan, P. K. Parida, and K. C. Pati. "Kinematic Analysis of a Dexterous Hand." Advanced Materials Research 433-440 (January 2012): 754–62. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.754.

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Handling of objects with irregular shapes and that of flexible/soft objects by ordinary robot grippers is difficult. Multi fingered gripper may be a solution to such handling tasks. However, dexterous grippers will be the appropriate solution to such problems. Although it is possible to develop robotic hands which can be very closely mapped to human hands, it is sometimes not to be done due to control, manufacturing and economic reasons. The present work aims at designing and developing a dexterous robotic hand for manipulation of objects.
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Li, Rui, Wei Wu, and Hong Qiao. "The compliance of robotic hands – from functionality to mechanism." Assembly Automation 35, no. 3 (2015): 281–86. http://dx.doi.org/10.1108/aa-06-2015-054.

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Purpose – The purpose of this paper is to introduce the physical structure and the control mechanism of human motor nervous system to the robotic system in a tentative manner to improve the compliance/flexibility/versatility of the robot. Design/methodology/approach – A brief review is focused on the concept of compliance, the compliance-based methods and the application of some compliance-based devices. Combined with the research on the physical structure and the control mechanism of human motor nervous system, a new drive structure and control method is proposed. Findings – Introducing the p
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YAMADA, TAKAYOSHI, SHUICHI YAMANAKA, MANABU YAMADA, YASUYUKI FUNAHASHI, and HIDEHIKO YAMAMOTO. "STATIC STABILITY ANALYSIS OF GRASPING MULTIPLE OBJECTS IN 2D." International Journal of Information Acquisition 07, no. 02 (2010): 119–34. http://dx.doi.org/10.1142/s0219878910002117.

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Human hands perform dexterous and fine manipulation of multiple objects. Multifingered robotic hands also have potential ability executing similar manipulation. This paper analyzes static stability of grasping multiple objects in two dimensions to enhance dexterity of robotic hands. Each finger is replaced with a 2D spring model. Not only frictional contact but also frictionless contact is considered. Grasp stiffness matrices of multiple planar objects are derived with consideration of contact friction property. Grasp stability is evaluated by eigenvalues of the matrices. Configuration (positi
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Biagiotti, L., F. Lotti, C. Melchiorri, and G. Vassura. "New Direction on Robotic Hands Design for Space Applications." IFAC Proceedings Volumes 37, no. 6 (2004): 327–32. http://dx.doi.org/10.1016/s1474-6670(17)32195-x.

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TANAKA, Yoshiyuki, and Takazumi TAKENAKA. "Analysis of Gait Motion with Robotic Hands-Free-Stick." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (2020): 2P1—C06. http://dx.doi.org/10.1299/jsmermd.2020.2p1-c06.

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42

Hasan-Zadeh, Atefeh, Osameh Irandoust, Maryam Fayaz, et al. "A Simple and Fast Method to Design Robotic Hands." International Journal of Engineering Research and Advanced Technology 06, no. 10 (2020): 58–67. http://dx.doi.org/10.31695/ijerat.2020.3659.

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Haneda, M., T. Naniwa, and T. Asakura. "Model-based Adaptive Control for Two-fingered Robotic Hands." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2003 (2003): 120–21. http://dx.doi.org/10.1299/jsmermd.2003.120_6.

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44

Palli, G., S. Pirozzi, C. Natale, G. De Maria, and C. Melchiorri. "Experiments of fine manipulation tasks with dexterous robotic hands." Meccanica 50, no. 11 (2015): 2767–80. http://dx.doi.org/10.1007/s11012-015-0217-x.

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45

Mendez, Vincent, Francesco Iberite, Solaiman Shokur, and Silvestro Micera. "Current Solutions and Future Trends for Robotic Prosthetic Hands." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (2021): 595–627. http://dx.doi.org/10.1146/annurev-control-071020-104336.

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The desire for functional replacement of a missing hand is an ancient one. Historically, humans have replaced a missing limb with a prosthesis for cosmetic, vocational, or personal autonomy reasons. The hand is a powerful tool, and its loss causes severe physical and often mental debilitation. Technological advancements have allowed the development of increasingly effective artificial hands, which can improve the quality of life of people who suffered a hand amputation. Here, we review the state of the art of robotic prosthetic hands (RPHs), with particular attention to the potential and curre
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Wang, Zhongkui, Akira Wada, Yoshiki Mori, and Sadao Kawamura. "Development of Pneumatic Soft Robotic Hands using 3D Printer." Journal of the Robotics Society of Japan 39, no. 4 (2021): 298–301. http://dx.doi.org/10.7210/jrsj.39.298.

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47

García-Rodríguez, R., and G. Díaz-Rodríguez. "Parallel-Distributed Model Deformation in the Fingertips for Stable Grasping and Object Manipulation." Mathematical Problems in Engineering 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/949834.

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The study on the human grip has inspired to the robotics over the past decades, which has resulted in performance improvements of robotic hands. However, current robotic hands do not have the enough dexterity to execute complex tasks. Recognizing this fact, the soft fingertips with hemispherical shape and deformation models have renewed attention of roboticists. A high-friction contact to prevent slipping and the rolling contribution between the object and fingers are some characteristics of the soft fingertips which are useful to improve the grasping stability. In this paper, the parallel dis
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48

Gudeloglu, Ahmet, and Sijo Parekattil. "A Nurse Training Program for Robotic Skills Acquisition and Career Advancement." Acta Medica 52, no. 2 (2021): 122–25. http://dx.doi.org/10.32552/2021.actamedica.511.

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Objective: Robotic surgery presents the state of the art surgical techniques in the era of minimally invasive surgery. A nurse’s role in surgery has been altered with the development of robotics. Our unique program at Polk State College in Florida was a robotic nursing program in which we certified nurses after a great deal of training. In this study our goal was to assess the survey outcomes of this program and to see if there was room for any improvements.
 Materials and Methods: We have successfully completed 4 three-day courses. During these courses we trained a total of 30 nurses and
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Bogue, Robert. "Flexible and soft robotic grippers: the key to new markets?" Industrial Robot: An International Journal 43, no. 3 (2016): 258–63. http://dx.doi.org/10.1108/ir-01-2016-0027.

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Abstract:
Purpose This paper aims to provide details of recent commercial and academic developments in flexible and soft grippers and considers their impact on emerging robotic markets. Design/methodology/approach Following an introduction, this paper first considers commercially available anthropomorphic robotic hands and soft grippers. It then discusses a selection of recent research activities and concludes with a brief discussion of the potential of these developments. Findings Anthropomorphic robotic hands, which seek to mimic the structure and capabilities of the human hand, together with a techno
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Jiang, Wei, Yuanyuan Zhou, Tao Yu, et al. "Interventional Status Awareness Based Manipulating Strategy for Robotic Soft Endoscopy." International Journal of Robotics and Automation Technology 6 (November 29, 2021): 1–10. http://dx.doi.org/10.31875/2409-9694.2019.06.1.

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Abstract:
Traditional soft endoscopy is operated with naked eyes and use of hands. Robotic soft endoscopy frees the hands of endoscopists, which reduces the labor-intensity and complexity of operation and improves the operational accuracy of endoscope, but it’s hardly to be reliably performed because the operator lacks of situational awareness of endoscopic interventional status when the hands are detached from the endoscope. This paper first presents a method to perceive the interventional status of endoscope based on image processing, the interventional status includes insertion length and velocity. A
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