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Auswahl der wissenschaftlichen Literatur zum Thema „Soft hands“
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Zeitschriftenartikel zum Thema "Soft hands"
Hirai, Shinichi, und Zhongkui Wang. „Object Manipulation by Soft Hands“. Journal of the Robotics Society of Japan 40, Nr. 5 (2022): 369–74. http://dx.doi.org/10.7210/jrsj.40.369.
Der volle Inhalt der QuelleWatanabe, Tetsuyou. „Manipulation with Soft Robotic Hands“. Journal of the Robotics Society of Japan 37, Nr. 1 (2019): 30–33. http://dx.doi.org/10.7210/jrsj.37.30.
Der volle Inhalt der QuelleGilday, Kieran, und Fumiya Iida. „Intelligent Soft Hands and Benchmarking towards General-Purpose Robotic Manipulation“. IOP Conference Series: Materials Science and Engineering 1261, Nr. 1 (01.10.2022): 012010. http://dx.doi.org/10.1088/1757-899x/1261/1/012010.
Der volle Inhalt der QuelleAndrade, Guilherme Neves Lourenço, Adham do Amaral e Castro, Paulo Eduardo Daruge Grando, Eduardo Baptista, Frederico Celestino Miranda, Viviane Sayuri Yamachira, Erina Megumi Nagaya Fukamizu et al. „Hands on Hands! Soft-Tissue Tumors and Bone Tumors Involving the Hand“. Contemporary Diagnostic Radiology 45, Nr. 17 (15.08.2022): 1–7. http://dx.doi.org/10.1097/01.cdr.0000854592.69523.ac.
Der volle Inhalt der QuelleHirai, Shinichi, und Zhongkui Wang. „Soft Robotic Hands for Food Material Handling“. Journal of the Robotics Society of Japan 37, Nr. 6 (2019): 489–94. http://dx.doi.org/10.7210/jrsj.37.489.
Der volle Inhalt der QuelleChoi, Changhyun, Wilko Schwarting, Joseph DelPreto und Daniela Rus. „Learning Object Grasping for Soft Robot Hands“. IEEE Robotics and Automation Letters 3, Nr. 3 (Juli 2018): 2370–77. http://dx.doi.org/10.1109/lra.2018.2810544.
Der volle Inhalt der QuelleZhou, Xuance, Carmel Majidi und Oliver M. O’Reilly. „Soft hands: An analysis of some gripping mechanisms in soft robot design“. International Journal of Solids and Structures 64-65 (Juli 2015): 155–65. http://dx.doi.org/10.1016/j.ijsolstr.2015.03.021.
Der volle Inhalt der QuelleUMLAS, M. E., R. J. BISCHOFF und R. H. GELBERMAN. „Predictors of Neurovascular Displacement in Hands with Dupuytren’s Contracture“. Journal of Hand Surgery 19, Nr. 5 (Oktober 1994): 664–66. http://dx.doi.org/10.1016/0266-7681(94)90140-6.
Der volle Inhalt der QuelleKANOJIA, R. K., N. SHARMA und S. K. KAPOOR. „Preliminary Soft Tissue Distraction Using External Fixator in Radial Club Hand“. Journal of Hand Surgery (European Volume) 33, Nr. 5 (Oktober 2008): 622–27. http://dx.doi.org/10.1177/1753193408093809.
Der volle Inhalt der QuelleTian, Li, Jianmin Zheng, Nadia Magnenat Thalmann, Hanhui Li, Qifa Wang, Jialin Tao und Yiyu Cai. „Design of a Single-Material Complex Structure Anthropomorphic Robotic Hand“. Micromachines 12, Nr. 9 (18.09.2021): 1124. http://dx.doi.org/10.3390/mi12091124.
Der volle Inhalt der QuelleDissertationen zum Thema "Soft hands"
Pozzi, Maria. „Grasping and Manipulation with Soft Robotic Hands“. Doctoral thesis, Università di Siena, 2019. http://hdl.handle.net/11365/1073188.
Der volle Inhalt der QuelleMarullo, Sara. „Modelling and Controlling Soft Interactions“. Doctoral thesis, Università di Siena, 2022. http://hdl.handle.net/11365/1196028.
Der volle Inhalt der QuelleDeimel, Raphael [Verfasser], Oliver [Akademischer Betreuer] Brock, Kaspar [Gutachter] Althoefer und Sami [Gutachter] Haddadin. „Soft robotic hands for compliant grasping / Raphael Deimel ; Gutachter: Kaspar Althoefer, Sami Haddadin ; Betreuer: Oliver Brock“. Berlin : Technische Universität Berlin, 2017. http://d-nb.info/1156179505/34.
Der volle Inhalt der QuelleSeiger, Cronfalk Berit. „Being in safe hands : the experiences of soft tissue massage as a complement in palliative care. Intervention studies concerning patients, relatives and nursing staff“. Doctoral thesis, Ersta Sköndal högskola, Enheten för forskning om vård i livets slutskede, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:esh:diva-602.
Der volle Inhalt der QuelleHomberg, Bianca (Bianca S. ). „Robust proprioceptive grasping with a soft robot hand“. Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106123.
Der volle Inhalt der QuelleCataloged from PDF version of thesis.
Includes bibliographical references (pages 85-88).
This work presents a soft hand capable of robustly grasping and identifying objects based on internal state measurements along with a combined system which autonomously performs grasps. A highly compliant soft hand allows for intrinsic robustness to grasping uncertainties; the addition of internal sensing allows the configuration of the hand and object to be detected. The hand can be configured in different ways using finger unit modules. The finger module includes resistive force sensors on the fingertips for contact detection and resistive bend sensors for measuring the curvature profile of the finger. The curvature sensors can be used to estimate the contact geometry and thus to distinguish between a set of grasped objects. With one data point from each finger, the object grasped by the hand can be identified. A clustering algorithm to find the correspondence for each grasped object is presented for both enveloping grasps and pinch grasps. This hand is incorporated into a full system with vision and motion planning on the Baxter robot to autonomously perform grasps of objects placed on a table. This hand is a first step towards proprioceptive soft grasping.
by Bianca Homberg.
M. Eng.
Rubiano, Fonseca Astrid. „Smart control of a soft robotic hand prosthesis“. Thesis, Paris 10, 2016. http://www.theses.fr/2016PA100189/document.
Der volle Inhalt der QuelleThe target of this thesis disertation is to develop a new Smart control of a soft robotic hand prosthesis for the soft robotic hand prosthesis called ProMain Hand, which is characterized by:(i) flexible interaction with grasped object, (ii) and friendly-intuitive interaction between human and robot hand. Flexible interaction results from the synergies between rigid bodies and soft bodies, and actuation mechanism. The ProMain hand has three fingers, each one is equipped with three phalanges: proximal, medial and distal. The proximal and medial are built with rigid bodies,and the distal is fabricated using a deformable material. The soft distal phalange has a new smart force sensor, which was created with the aim to detect contact and force in the fingertip, facilitating the control of the hand. The friendly intuitive human-hand interaction is developed to facilitate the hand utilization. The human-hand interaction is driven by a controller that uses the superficial electromyographic signals measured in the forearm employing a wearable device. The wearable device called MyoArmband is placed around the forearm near the elbow joint. Based on the signals transmitted by the wearable device, the beginning of the movement is automatically detected, analyzing entropy behavior of the EMG signals through artificial intelligence. Then, three selected grasping gesture are recognized with the following methodology: (i) learning patients entropy patterns from electromyographic signals captured during the execution of selected grasping gesture, (ii) performing a support vector machine classifier, using raw entropy data extracted in real time from electromyographic signals
Ramirez, Arias José Luis. „Development of an artificial muscle for a soft robotic hand prosthesis“. Thesis, Paris 10, 2016. http://www.theses.fr/2016PA100190/document.
Der volle Inhalt der QuelleIn the field of robotic hand prosthesis, the use of smart and soft materials is helpful in improving flexibility, usability, and adaptability of the robots, which simplify daily living activities of prosthesis users. However, regarding the smart materials for artificial muscles, technologies are considered to be far from implementation in anthropomorphic robotic hands. Therefore, the target of this thesis dissertation is to reduce the gap between smart material technologies and robotic hand prosthesis. Five central axes address the problem: i)identification of useful grasping gestures and reformulation of the robotic hand mechanism, ii) analysis of human muscle behavior to mimic human grasping capabilities, iii) modeling robot using the hybrid model DHKK-SRQ for the kinematics and the virtual works principle for dynamics, iv) definition of actuation requirements considering the synergy between prehension conditions and robot mechanism, and v) development of a smart material based actuation system.This topics are addressed in four chapters:1. Human hand movement analysis toward the hand prosthesis requirements2. Design and modeling of the soft robotic hand ProMain-I3. Mechatronic assessment of Prosthetic hand4. Development of an artificial muscle based on smart materials
Petinari, Andrea. „Hand rehabilitation device for extension, opposition and reposition“. Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Den vollen Inhalt der Quelle findenKibria, Raihan Hassnain [Verfasser], und Hans [Akademischer Betreuer] Eveking. „Soft Computing Approaches to DPLL SAT Solver Optimization / Raihan Hassnain Kibria. Betreuer: Hans Eveking“. Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2011. http://d-nb.info/1105563952/34.
Der volle Inhalt der QuelleWirekoh, Jackson O. „Development of Soft Actuation Systems for Use in Human-Centered Applications“. Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1124.
Der volle Inhalt der QuelleBücher zum Thema "Soft hands"
Ward, B. J. Landing in New Jersey with soft hands. Berkeley, CA: North Atlantic Books, 1994.
Den vollen Inhalt der Quelle findenInoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.
Den vollen Inhalt der Quelle finden1963-, Hirai Shinʼichi, Hrsg. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.
Den vollen Inhalt der Quelle findenInoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.
Den vollen Inhalt der Quelle findenInoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.
Den vollen Inhalt der Quelle findenDaniaodianzhang, Hrsg. Si ji shou zuo yang mao zhan: Oh! two hands four seasons wool felt. Taibei Shi: Tai shi wen hua shi ye gu fen you xian gong si, 2012.
Den vollen Inhalt der Quelle findenAraujo, Ana. Felt from the heart: How to hand-stitch cute and cuddly felt stuffies. East Petersburg, PA: Design Originals, 2013.
Den vollen Inhalt der Quelle findenChen, Cheng-Hung, und Desineni Subbaram Naidu. Fusion of Hard and Soft Control Strategies for the Robotic Hand. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119273622.
Der volle Inhalt der QuelleB, MacDonald Robert, und United States. National Aeronautics and Space Administration., Hrsg. In the soft-to-hand technical spectrum: Where is software engineering? [Houston, Tex.?]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.
Den vollen Inhalt der Quelle findenOur time in God's hands: Religion and the middling sort in eighteenth century Colchester. [Chelmsford, Essex]: Essex Record Office in collaboration with the Local History Centre, University of Essex, 1991.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Soft hands"
Deimel, Raphael, und Oliver Brock. „Soft Hands for Reliable Grasping Strategies“. In Soft Robotics, 211–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44506-8_18.
Der volle Inhalt der QuelleNagy, Zsolt. „Your Future Is in Your Hands“. In Soft Skills to Advance Your Developer Career, 275–90. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5092-1_8.
Der volle Inhalt der QuelleChen, Wei. „Retrospection and Consideration of Competitive Taiji Push Hands“. In Advances in Intelligent and Soft Computing, 111–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25538-0_17.
Der volle Inhalt der QuelleParab, Jivan S., Rajendra S. Gad und G. M. Naik. „Building Embedded Systems Using Soft IP Cores“. In Hands-on Experience with Altera FPGA Development Boards, 73–78. New Delhi: Springer India, 2017. http://dx.doi.org/10.1007/978-81-322-3769-3_4.
Der volle Inhalt der QuelleLi, Bowen, Jiangxia Shi und Wenzeng Zhang. „MESA Finger: A Multisensory Electronic Self-Adaptive Unit for Humanoid Robotic Hands“. In Advances in Intelligent and Soft Computing, 395–400. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27951-5_59.
Der volle Inhalt der QuelleTavakoli, Mahmoud, Rui Pedro Rocha, João Lourenço, Tong Lu und Carmel Majidi. „Soft Bionics Hands with a Sense of Touch Through an Electronic Skin“. In Soft Robotics: Trends, Applications and Challenges, 5–10. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46460-2_2.
Der volle Inhalt der QuelleMossakowski, Krzysztof, und Jacek Mańdziuk. „Neural Networks and the Estimation of Hands’ Strength in Contract Bridge“. In Artificial Intelligence and Soft Computing – ICAISC 2006, 1189–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11785231_124.
Der volle Inhalt der QuelleChoi, Changhyun, Joseph Del Preto und Daniela Rus. „Using Vision for Pre- and Post-grasping Object Localization for Soft Hands“. In Springer Proceedings in Advanced Robotics, 601–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50115-4_52.
Der volle Inhalt der QuelleRosen, Alyx, Shino Bay Aguilera, Drew Taylor und Eduardo Weiss. „Soft Tissue Augmentation (Temporary Injectable Fillers) on the Trunk and Extremities (Hands, Feet, Trunk)“. In Evidence-Based Procedural Dermatology, 679–702. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02023-1_40.
Der volle Inhalt der QuelleYoshikawa, Tsuneo, Masanao Koeda und Hiroshi Fujimoto. „Shape Recognition and Optimal Grasping of Unknown Objects by Soft-Fingered Robotic Hands with Camera“. In Experimental Robotics, 537–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00196-3_62.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Soft hands"
Bonilla, M., E. Farnioli, C. Piazza, M. Catalano, G. Grioli, M. Garabini, M. Gabiccini und A. Bicchi. „Grasping with Soft Hands“. In 2014 IEEE-RAS 14th International Conference on Humanoid Robots (Humanoids 2014). IEEE, 2014. http://dx.doi.org/10.1109/humanoids.2014.7041421.
Der volle Inhalt der QuelleSalvietti, G., Z. Iqbal, M. Malvezzi, T. Eslami und D. Prattichizzo. „Soft Hands with Embodied Constraints: The Soft ScoopGripper“. In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. http://dx.doi.org/10.1109/icra.2019.8793563.
Der volle Inhalt der QuelleZhao, Longchao, und Satyandra K. Gupta. „Design, Manufacturing, and Characterization of a Pneumatically-Actuated Soft Hand“. In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6622.
Der volle Inhalt der QuelleSchlagenhauf, Cornelia, Dominik Bauer, Kai-Hung Chang, Jonathan P. King, Daniele Moro, Stelian Coros und Nancy Pollard. „Control of Tendon-Driven Soft Foam Robot Hands“. In 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids). IEEE, 2018. http://dx.doi.org/10.1109/humanoids.2018.8624937.
Der volle Inhalt der QuelleGrbic und Nordholm. „Soft constrained subband beamforming for hands-free speech enhancement“. In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005882.
Der volle Inhalt der QuelleGrbic, Nedelko, und Sven Nordholm. „Soft constrained subband beamforming for hands-free speech enhancement“. In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5743881.
Der volle Inhalt der QuelleHarris, Sarah L., Robert Owen, Enrique Sedano und Daniel Chaver Martinez. „MIPSfpga: Hands-on learning on a commercial soft-core“. In 2016 11th European Workshop on Microelectronics Education (EWME). IEEE, 2016. http://dx.doi.org/10.1109/ewme.2016.7496470.
Der volle Inhalt der QuelleBiagiotti, L., C. Melchiorri, P. Tiezzi und G. Vassura. „Modelling and identification of soft pads for robotic hands“. In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2005. http://dx.doi.org/10.1109/iros.2005.1545529.
Der volle Inhalt der QuelleLi, Chao, und Nancy Pollard. „SoftTouch: A Sensor-Placement Framework for Soft Robotic Hands“. In 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids). IEEE, 2022. http://dx.doi.org/10.1109/humanoids53995.2022.10000138.
Der volle Inhalt der QuelleSeiji Sugiyama, M. Koeda, H. Fujimoto und T. Yoshikawa. „Measurement of grasp position by human hands and grasp criterion for two soft-fingered robot hands“. In 2009 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2009. http://dx.doi.org/10.1109/robot.2009.5152358.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Soft hands"
Gammon, P., und S. Alpay. Aquatic soft sediment sampling methods: freeze coring and grab/hand coring. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2011. http://dx.doi.org/10.4095/288040.
Der volle Inhalt der QuelleGammon, P., und S. Alpay. Aquatic soft sediment sampling methods: freeze coring and grab/hand coring. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2011. http://dx.doi.org/10.4095/288049.
Der volle Inhalt der QuelleGalili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs und Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, Oktober 1994. http://dx.doi.org/10.32747/1994.7570549.bard.
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