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Relevant bibliographies by topics / Robot hand

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Academic literature on the topic 'Robot hand'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Robot hand"

1

Zhang, Bo, Guanglong Du, Wenming Shen, and Fang Li. "Gesture-based human-robot interface for dual-robot with hybrid sensors." Industrial Robot: the international journal of robotics research and application 46, no. 6 (2019): 800–811. http://dx.doi.org/10.1108/ir-11-2018-0245.

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Purpose The purpose of this paper is the research of a novel gesture-based dual-robot collaborative interaction interface, which achieves the gesture recognition when both hands overlap. This paper designs a hybrid-sensor gesture recognition platform to detect the both-hand data for dual-robot control. Design/methodology/approach This paper uses a combination of Leap Motion and PrimeSense in the vertical direction, which detects both-hand data in real time. When there is occlusion between hands, each hand is detected by one of the sensors, and a quaternion-based algorithm is used to realize th

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Sasaki, Daisuke, Toshiro Noritsugu, and Masahiro Takaiwa. "Development of Pneumatic Soft Robot Hand for Human Friendly Robot." Journal of Robotics and Mechatronics 15, no. 2 (2003): 164–71. http://dx.doi.org/10.20965/jrm.2003.p0164.

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When robots interact directly with humans, safety becomes a major consideration. The purpose of this study is to realize a safe humanlike robot hand for a human-friendly robot. The structure of the soft hand is described, its basic operation shown, and wipe motion for a human arm using this hand examined. Finally, a method of force communication task is proposed, which controls mutual communication based on the operating force between a robot and a human. This method is applied to their shaking hands.

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Lin, Li-Ren, and Han-Pang Huang. "NTU Hand: A New Design of Dexterous Hands." Journal of Mechanical Design 120, no. 2 (1998): 282–92. http://dx.doi.org/10.1115/1.2826970.

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A new five-finger robot hand (NTU hand) with seventeen degrees of freedom (DOF) is developed in this paper. In contrast to traditional tendon-driven robots, the NTU hand has an uncoupled configuration that each finger and joint are all individually driven. Since all actuators, mechanical parts and sensors are packed on the hand, the size of NTU hand is almost the same as a human hand. Such compact design makes the hand easily adapt to the industrial robot arm and the prosthetic applications. Based on the mechanical structure of the NTU hand, the direct and inverse kinematics are developed. In

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Hieida, Chie, Kasumi Abe, Takayuki Nagai, and Takashi Omori. "Walking Hand-in-Hand Helps Relationship Building Between Child and Robot." Journal of Robotics and Mechatronics 32, no. 1 (2020): 8–20. http://dx.doi.org/10.20965/jrm.2020.p0008.

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It is well known that, in human communication, physical contact, such as holding hands, has the effect of relieving stress and providing a sense of intimacy. In this study, we verified whether walking hand-in-hand has a positive effect on relationship building between children and robots. Specifically, an interaction experiment was performed in which a child and a robot play one-on-one for approximately 30 min with 37 children aged 5–6 years. The robot is teleoperated by a nursery teacher in this experiment. The children are divided into two groups: the experimental group, in which children wa

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Guo, Kai, Jingxin Lu, Chang Liu, and Hongbo Yang. "Development, Research, Optimization and Experiment of Exoskeleton Robot for Hand Rehabilitation Training." Applied Sciences 12, no. 20 (2022): 10580. http://dx.doi.org/10.3390/app122010580.

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As one of the most influential symptoms of daily life after stroke, hand dysfunction has seriously affected the quality of life of patients and families. At present, the commonly used rehabilitation method is to carry out continuous passive training on the patient’s fingers with the help of physical therapists, so as to promote the rehabilitation of the hands. However, this kind of therapist-assisted rehabilitation greatly increases the cost of rehabilitation treatment and is not conducive to the promotion of household use. Many exoskeleton hand rehabilitation robots still lack in overall weig

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Bauer, Dominik, Cornelia Bauer, Jonathan P. King, et al. "Design and Control of Foam Hands for Dexterous Manipulation." International Journal of Humanoid Robotics 17, no. 01 (2020): 1950033. http://dx.doi.org/10.1142/s0219843619500336.

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There has been great progress in soft robot design, manufacture, and control in recent years, and soft robots are a tool of choice for safe and robust handling of objects in conditions of uncertainty. Still, dexterous in-hand manipulation using soft robots remains a challenge. This paper introduces foam robot hands actuated by tendons sewn through a fabric glove. The flexibility of tendon actuation allows for high competence in utilizing deformation for robust in-hand manipulation. We discuss manufacturing, control, and design optimization for foam robots and demonstrate robust grasping and in

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Luo and Zhang. "VGS Hand: A Novel Hybrid Grasping Modes Robot Hand with Variable Geometrical Structure." Applied Sciences 9, no. 8 (2019): 1566. http://dx.doi.org/10.3390/app9081566.

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Robot hand is the device used for robots to interact with the environments, it has many potential applications. Traditional robot hands cannot translate their finger end along a straight line, which makes them not suitable for grasping thin objects on a flat surface. In order to overcome the bottleneck of traditional hands and enlarge the application possibility of robot hands, this paper develops a novel hybrid grasping modes hand with the variable geometrical structure (called VGS hand). The hand consists of 4-DOF (degree of freedom), two actuators and two fingers. It can perform both linear

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Mandal, Abhinav, Utkarsh Bhujade, Ronit Bagde, and Abhishek Manmode. "Hand Gesture Recognition and Cleaning Robot." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 3450–55. http://dx.doi.org/10.22214/ijraset.2022.43174.

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Abstract: We know that technology changes and develops every day, and humans need change as well. Human-Robot Interaction (HRI) has become a popular and in-demand technology in the recent decade. One-way humans can interact with robots is through hand gestures. The use of hand gestures as a method of communication with machines, robots, and gadgets is becoming more and more common. This paper will focus on how we can use machines in our day-to-day lifestyle and how to communicate with them for helping purposes. The robot will be equipped with a variety of sensors, a motor driver, and the NodeM

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Kim, Dong Whan, and Jong Eun Ha. "Hand/Eye Calibration Using 3D-3D Correspondences." Applied Mechanics and Materials 319 (May 2013): 532–35. http://dx.doi.org/10.4028/www.scientific.net/amm.319.532.

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In industrial application, robots do the operations that have predefined location taught by teaching pendant. Recently, sensors including camera and laser range finder are used together with robot to expand the capabilities of the robot. Hand/eye calibration is the first necessary step to transform sensor based measurements into the robot coordinate system. Traditional hand/eye calibration algorithm used known robot motions. Kinect is used as the 3D sensor and chessboard markers are attached on the robot’s arm. In this paper, we solve hand/eye calibration using 3D-3D correspondences.

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Nagase, Jun-Ya, Norihiko Saga, Toshiyuki Satoh, and Koichi Suzumori. "Development and control of a multifingered robotic hand using a pneumatic tendon-driven actuator." Journal of Intelligent Material Systems and Structures 23, no. 3 (2011): 345–52. http://dx.doi.org/10.1177/1045389x11420590.

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Because of the rapid aging of the Japanese population and the acute decrease in young workers in Japan, robots are anticipated for use in performing rehabilitation and daily domestic tasks for nursing and welfare services. Use in environments with humans, safety, and human affinity are particularly important robot hand characteristics. Such robot hands must have flexible movements and be lightweight. Under these circumstances, this study specifically addresses the expansion of a silicone rubber, tendon-driven actuator, which has been developed using a pneumatic balloon. A multifingered robotic

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Dissertations / Theses on the topic "Robot hand"

1

Monahan, Melissa A. "Scalability study for robotic hand platform /." Online version of thesis, 2010. http://hdl.handle.net/1850/12225.

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Sulaiman, Amil, and Erik Janerdal. "Gesture controlled robot hand." Thesis, Högskolan i Halmstad, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44940.

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This project was chosen by the students themselves. The idea behind the proposed system was tooffer an alternative method to control robotics in remote places and harsh environments using avision-based approach. The purpose of the project is to introduce a more natural way of humanto-computer interaction and also to make humans working in hazardous environments still performtheir duties remotely.The components used in the project are a mechanic hand, a Raspberry Pi, a Raspberry Pi cameramodule v2, servos, a servo driver, and a Raspberry Pi display. The code is written in C++, and thelibraries

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Jugenheimer, Kristin A. (Kristin Anne) 1977. "A robot for hand rehabilitation." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/8878.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, February 2001.<br>Includes bibliographical references (p. 369-372).<br>This thesis describes the design of a robot for hand rehabilitation and is based on earlier work done in the MIT Newman Lab for Biomechanics and Human Rehabilitation. The goal of the new robot described here is to provide rehabilitative therapy to the hand. MIT MANUS is an active therapy device previously designed and built in the Newman Lab. It has been used with success to improve strength and control of the upper extremity and promote

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Xu, Jijie. "Towards better grasping and manipulation by multifingered robotic hand /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECED%202007%20XU.

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Kontoudis, Georgios Pantelis. "Adaptive, Anthropomorphic Robot Hands for Grasping and In-Hand Manipulation." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87404.

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This thesis presents the design, modeling, and development of adaptive robot hands that are capable of performing dexterous, in-hand manipulation. The robot hand comprises of anthropomorphic robotic fingers, which employ an adaptive actuation mechanism. The mechanism achieves both flexion/extension and adduction/abduction, on the finger's metacarpophalangeal joint, by using two actuators. Moment arm pulleys are employed to drive the tendon laterally, such that an amplification on the abduction motion occurs, while also maintaining the flexion motion. Particular emphasis has been given to the m

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Sheikholeslami, Sara. "Data-driven design of expressive robot hands and hand gestures : applications for collaborative human-robot interaction." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/61300.

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Fast and reliable communication between human workers and robotic assistants (RAs) is essential for successful collaboration between these agents. This is especially true for typically noisy manufacturing environments that render verbal communication less effective. This thesis investigates the efficacy of nonverbal communication capabilities of robotic manipulators that have poseable, three-fingered end-effectors (hands). This work explores the extent to which different poses of a typical robotic gripper can effectively communicate instructional messages during human-robot collaboration. With

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Miura, Kanako. "Robot hand positioning and grasping using vision." Université Louis Pasteur (Strasbourg) (1971-2008), 2004. https://publication-theses.unistra.fr/public/theses_doctorat/2004/MIURA_Kanako_2004.pdf.

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La robotique d'assistance aux gestes humains est en plein essor. Ce type de robots doit être capable de gérer les demandes humaines et d'y répondre de manière flexible avec grande précision. Par exemple, quand un robot doit amener un objet à un être humain, il est très important de saisir l'objet quel qu'il soit sans prendre le risque de le briser. Dans cette thèse, le problème de la saisie d'objet est étudié dans son ensemble. Le robot étudié est un bras anthropomorphe, équipé d'un système de vision monoculaire non calibré et d'une main à deux doigts indépendants avec capteurs d'efforts. Le r

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Birgestam, Magnus. "Controlling a Robot Hand in Simulation and Reality." Thesis, Linköping University, Department of Management and Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11393.

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<p>This master thesis was made at the Institute of Technology Stockholm and is a part of a robot hand project called 10-X with the aim to develop a low-cost robot hand that is light and strong.</p><p>The project specification is to further improve the ability to control the robot hand in a user friendly way. This has been done by implementing a controller, earlier used and developed at KTH, which is intuitive and easy to customize after the needs in different kinds of grasps. To make the controller easy to use an user interface has been made.</p><p>Before the implementation of the controller w

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Nilsson, Rebecca, and de Val Almida Winquist. "Hand Gesture Controlled Wheelchair." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264512.

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Haptical technology is a field that is under constant development and that exists in many of today’s products, for example in VR-games and in the controls for vehicles. This kind of technology could in the same way simplify for disabled people by their being able to control a wheelchair using hand gestures. The purpose of this project is to research if a wheelchair can be controlled with hand gestures, and in that case, in which way that would be the most optimal. To answer the research questions in the project, a small scale prototype wheelchair was developed. This prototype is based on a mic

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Tang, Philip H. (Philip Hsien-Ching) 1978. "Characterization of a robot designed for hand rehabilitation." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/89367.

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Books on the topic "Robot hand"

1

Balasubramanian, Ravi, and Veronica J. Santos, eds. The Human Hand as an Inspiration for Robot Hand Development. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03017-3.

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A, Houck Jacob, Carzoo Susan W, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Kinematic rate control of simulated robot hand at or near wrist singularity. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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Qiao, Hong, Chao Ma, and Rui Li. The “Hand-eye-brain” System of Intelligent Robot. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-3575-5.

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A, Goodale Melvyn, ed. Vision and action: The control of grasping. Ablex Pub. Corp., 1990.

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Arnon, Iris N. Modeling human hand and muscle characteristics for the improvement of robot actuation. National Library of Canada, 1990.

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Inoue, Takahiro. Mechanics and control of soft-fingered manipulation. Springer, 2009.

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Inoue, Takahiro. Mechanics and control of soft-fingered manipulation. Springer, 2009.

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Liu, Hong. Fang ren duo zhi ling qiao shou ji qi cao zuo kong zhi. Ke xue chu ban she, 2010.

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Inoue, Takahiro. Mechanics and control of soft-fingered manipulation. Springer, 2009.

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Shastri, S. V. Dextrous Robot Hands. Springer New York, 1990.

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Book chapters on the topic "Robot hand"

1

Rollins, Mark. "The Jimu Robots Robot Hand." In The UBTECH Jimu Robots Builder’s Guide. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2925-5_8.

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Riley, Frank. "Robot Hand Exchangers." In The Electronics Assembly Handbook. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-13161-9_20.

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Lucas, S. R., C. R. Tischler, and A. E. Samuel. "The Melbourne Hand." In Advances in Robot Kinematics. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4120-8_16.

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Lenarčič, Jadran, Tadej Bajd, and Michael M. Stanišić. "Kinematic Model of the Human Hand." In Robot Mechanisms. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-4522-3_10.

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Prasad, N. H., A. Mariyan Richard, and B. N. Lakshmi Narayan. "Hand Gesture Controlled Robot." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4909-4_64.

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Klatzky, Roberta L., and Susan Lederman. "Intelligent Exploration by the Human Hand." In Dextrous Robot Hands. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8974-3_4.

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Bekey, George A., Rajko Tomovic, and Ilija Zeljkovic. "Control Architecture for the Belgrade/USC Hand." In Dextrous Robot Hands. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8974-3_7.

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McCammon, Ian D., and Steve C. Jacobsen. "Tactile Sensing and Control for the Utah/MIT Hand." In Dextrous Robot Hands. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8974-3_11.

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Jaafar, J., K. Nasir, and R. L. A. Shauri. "Robot Hand Fingertip Design Validation." In 9th International Conference on Robotic, Vision, Signal Processing and Power Applications. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1721-6_70.

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Walunj, Snehal, Nazanin Mashhaditafreshi, Parsha Pahlevannejad, Achim Wagner, and Martin Ruskowski. "Human-Robot Interaction Through Egocentric Hand Gesture Recognition." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86489-6_14.

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Abstract Recognition of human hand gestures in industrial environments is gaining popularity, especially in the context of assistance systems, thanks to advancements in deep learning-based vision methods. Also, head-worn devices with cameras are becoming more popular especially for smart assistance using Extended Reality (XR) technology, even for industrial use cases. Employing sensors from head-worn devices such as HoloLens enhance the communication between human and robot hereby providing interaction using ego-centric vision. This study delves into human-robot interaction by investigating eg

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Conference papers on the topic "Robot hand"

1

Saxena, Sumedha, Xiangqian Shi, Chengyu Yang, et al. "Hand Landmark Detection Approach for the Personalized Soft Wearable Robotic Hand on Post-Stroke Hand Rehabilitation." In 2024 World Rehabilitation Robot Convention (WRRC). IEEE, 2024. http://dx.doi.org/10.1109/wrrc62201.2024.10696505.

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Adnnane, Berradagouzi, and Jinliang Li. "Hand Gesture Controlled Robot Arm." In 2024 4th International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM). IEEE, 2024. https://doi.org/10.1109/aiim64537.2024.10934630.

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Song, Kai-Tai, and Shih-Wei Chiu. "Mixed Reality Robot Programming Using Hand Gestures." In 2024 International Conference on Advanced Robotics and Intelligent Systems (ARIS). IEEE, 2024. http://dx.doi.org/10.1109/aris62416.2024.10680008.

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Nate, Issei, and Shinichi Hirai. "Passive Underwater Robot Hand Utilizing Water Resistance." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10802745.

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Moon, Seongkyeong, Eunho Sung, and Jaeheung Park. "Kernel PCA-Based Hand Synergy for Efficient Robot Hand Teleoperation Using Glove Interface." In 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids). IEEE, 2024. https://doi.org/10.1109/humanoids58906.2024.10769864.

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Hoshino, Kiyoshi, Emi Tamaki, and Takanobu Tanimoto. "Copycat hand - robot hand generating imitative behavior." In IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2007. http://dx.doi.org/10.1109/iecon.2007.4460062.

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Meng, Qingxin, Hua Wang, Ping Li, Liquan Wang, and Ze He. "Dexterous Underwater Robot Hand: HEU Hand II." In 2006 International Conference on Mechatronics and Automation. IEEE, 2006. http://dx.doi.org/10.1109/icma.2006.257847.

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Iyer, Pranay, Sanjana Tarekar, and Swati Dixit. "Hand Gesture Controlled Robot." In 2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19). IEEE, 2019. http://dx.doi.org/10.1109/icetet-sip-1946815.2019.9092032.

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Setyawan, Leonardy, Leonardus Mario Kesaulja, Jessie Darma, and Endrowednes Kuantama. "Hand-puppet robot control." In 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN). IEEE, 2011. http://dx.doi.org/10.1109/iccsn.2011.6014854.

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Sivakumar, Prasanna Kumar, Chittaranjan S. Srinivas, Andrey Kiselev, and Amy Loutfi. "Robot-human hand-overs in non-anthropomorphic robots." In 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2013. http://dx.doi.org/10.1109/hri.2013.6483584.

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Reports on the topic "Robot hand"

1

Daum, Ing W. Approved Surgical Robot Hand. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada286841.

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Brock, D. L. Contact sensing palm for the Salisbury robot hand. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6529634.

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Stansfield, S. Haptic perception with an articulated, sensate robot hand. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6909453.

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Brock, David L. Enhancing the Dexterity of a Robot Hand Using Controlled Slip. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada209363.

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Brock, D. Applications of a fingertip sensor for the Salisbury Robot Hand. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5144666.

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Johnson, V. J., and G. P. Starr. Kinematic and dynamic analyses of the Stanford/JPL robot hand. [MACSYMA]. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/5658755.

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Edsinger-Gonzales, Aaron. Design of a Compliant and Force Sensing Hand for a Humanoid Robot. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada434151.

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Chu, M. A derivative-free iterative method for locating the hand position of a robot manipulator. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/5826206.

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Solanki, Ranvir S., and Kuldip S. Rattan. A Kinematic Study of the Merlin 6500 Robot and the UTAH/MIT Dexterous Hand and a Simulation of their Combined Behavior. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada203907.

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Romero Juárez, Mireya, and Luis Merino Cabañas. Hand gesture identification for the implementation in social robots using machine learning techniques. Fundación Avanza, 2024. http://dx.doi.org/10.60096/fundacionavanza/4672024.

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This work explores the methodology employed to find an optimal machine learning algorithm to differentiate 5 hand gestures based on their 3d coordinates, and analyzes different features and models to find the most accurate utilizing python 3.

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