{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T11:23:40Z","timestamp":1776338620698,"version":"3.51.2"},"reference-count":47,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T00:00:00Z","timestamp":1608595200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computers"],"abstract":"<jats:p>We developed an anthropomorphic multi-finger artificial hand for a fine-scale object grasping task, sensing the grasped object\u2019s shape. The robotic hand was created using the 3D printer and has the servo bed for stand-alone finger movement. The data containing the robotic fingers\u2019 angular position are acquired using the Leap Motion device, and a hybrid Support Vector Machine (SVM) classifier is used for object shape identification. We trained the designed robotic hand on a few monotonous convex-shaped items similar to everyday objects (ball, cylinder, and rectangular box) using supervised learning techniques. We achieve the mean accuracy of object shape recognition of 94.4%.<\/jats:p>","DOI":"10.3390\/computers10010001","type":"journal-article","created":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T12:42:28Z","timestamp":1608640948000},"page":"1","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Design and Evaluation of Anthropomorphic Robotic Hand for Object Grasping and Shape Recognition"],"prefix":"10.3390","volume":"10","author":[{"given":"Rahul Raj","family":"Devaraja","sequence":"first","affiliation":[{"name":"Department of Multimedia Engineering, Kaunas University of Technology, 51423 Kaunas, Lithuania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2809-2213","authenticated-orcid":false,"given":"Rytis","family":"Maskeli\u016bnas","sequence":"additional","affiliation":[{"name":"Department of Multimedia Engineering, Kaunas University of Technology, 51423 Kaunas, Lithuania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9990-1084","authenticated-orcid":false,"given":"Robertas","family":"Dama\u0161evi\u010dius","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, Kaunas University of Technology, 51423 Kaunas, Lithuania"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1002\/rob.21568","article-title":"Analysis of Human-robot Interaction at the DARPA Robotics Challenge Trials","volume":"32","author":"Yanco","year":"2015","journal-title":"J. Field Robot."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1109\/TRO.2018.2865890","article-title":"State of the art in artificial wrists: A review of prosthetic and robotic wrist design","volume":"35","author":"Bajaj","year":"2019","journal-title":"IEEE Trans. Robot."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Lee, J.-D., Li, W.-C., Shen, J.-H., and Chuang, C.-W. (2018, January 20\u201323). Multi-robotic arms automated production line. Proceedings of the 4th International Conference on Control, Automation and Robotics (ICCAR), Auckland, New Zealand.","DOI":"10.1109\/ICCAR.2018.8384639"},{"key":"ref_4","first-page":"401613","article-title":"Medical Robots: Current Systems and Research Directions","volume":"2012","author":"Beasley","year":"2012","journal-title":"J. Robot."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1089\/soro.2017.0125","article-title":"Robotic glove with soft-elastic composite actuators for assisting activities of daily living","volume":"6","author":"Heung","year":"2019","journal-title":"Soft Robot."},{"key":"ref_6","first-page":"475","article-title":"Real time path finding for assisted living using deep learning","volume":"24","year":"2018","journal-title":"J. Univers. Comput. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1089\/soro.2018.0006","article-title":"Exo-glove poly II: A polymer-based soft wearable robot for the hand with a tendon-driven actuation system","volume":"6","author":"Kang","year":"2019","journal-title":"Soft Robot."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"645","DOI":"10.24425\/mms.2019.130562","article-title":"Energy-efficient walking over irregular terrain: A case of hexapod robot","volume":"26","author":"Luneckas","year":"2019","journal-title":"Metrol. Meas. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., and Zurada, J. (2018). Block matching based obstacle avoidance for unmanned aerial vehicle. Artificial Intelligence and Soft Computing, Springer. ICAISC 2018, Lecture Notes in Computer Science.","DOI":"10.1007\/978-3-319-91262-2"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Simon, P. (2015). Military Robotics: Latest Trends and Spatial Grasp Solutions. Int. J. Adv. Res. Artif. Intell., 4.","DOI":"10.14569\/IJARAI.2015.040402"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Zhang, B., Xie, Y., Zhou, J., Wang, K., and Zhang, Z. (2020). State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review. Comput. Electron. Agric., 177.","DOI":"10.1016\/j.compag.2020.105694"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5490","DOI":"10.3934\/mbe.2019273","article-title":"Smart irrigation system for environmental sustainability in africa: An internet of everything (IoE) approach","volume":"16","author":"Adenugba","year":"2019","journal-title":"Math. Biosci. Eng."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Burbaite, R., Stuikys, V., and Damasevicius, R. (2013, January 4\u20136). Educational robots as collaborative learning objects for teaching computer science. Proceedings of the IEEE International Conference on System Science and Engineering, ICSSE 2013, Budapest, Hungary.","DOI":"10.1109\/ICSSE.2013.6614661"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Skersys, T., Butleris, R., and Butkiene, R. (2012). Design of a neural interface based system for control of robotic devices. Communications in Computer and Information Science, Springer. Information and Software Technologies, ICIST 2012.","DOI":"10.1007\/978-3-642-33308-8"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Billard, A., and Kragic, D. (2019). Trends and challenges in robot manipulation. Science, 364.","DOI":"10.1126\/science.aat8414"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Mahler, J., Matl, M., Satish, V., Danielczuk, M., DeRose, B., McKinley, S., and Goldberg, K. (2019). Learning ambidextrous robot grasping policies. Sci. Robot., 4.","DOI":"10.1126\/scirobotics.aau4984"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Wang, C., Zhang, X., Zang, X., Liu, Y., Ding, G., Yin, W., and Zhao, J. (2020). Feature sensing and robotic grasping of objects with uncertain information: A review. Sensors, 20.","DOI":"10.3390\/s20133707"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Alkhatib, R., Mechlawi, W., and Kawtharani, R. (2020). Quality assessment of robotic grasping using regularized logistic regression. IEEE Sens. Lett., 4.","DOI":"10.1109\/LSENS.2020.2994166"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1007\/s10514-018-9748-z","article-title":"Multi-robot grasp planning for sequential assembly operations","volume":"43","author":"Dogar","year":"2019","journal-title":"Auton. Robot."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Gaudeni, C., Pozzi, M., Iqbal, Z., Malvezzi, M., and Prattichizzo, D. (2020). Grasping with the SoftPad, a Soft Sensorized Surface for Exploiting Environmental Constraints With Rigid Grippers. IEEE Robot. Autom. Lett.","DOI":"10.1109\/LRA.2020.2983675"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4804","DOI":"10.1109\/LRA.2020.3003885","article-title":"A variable-structure robot hand that uses the environment to achieve general purpose grasps","volume":"5","author":"Golan","year":"2020","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1007\/s10514-018-9754-1","article-title":"Robust proprioceptive grasping with a soft robot hand","volume":"43","author":"Homberg","year":"2019","journal-title":"Auton. Robot."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.measurement.2019.03.010","article-title":"Probability analysis for grasp planning facing the field of medical robotics","volume":"141","author":"Hu","year":"2019","journal-title":"Meas. J. Int. Meas. Confed."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Ji, S., Huang, M., and Huang, H. (2019). Robot intelligent grasp of unknown objects based on multi-sensor information. Sensors, 19.","DOI":"10.3390\/s19071595"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Kang, L., Seo, J.-T., Kim, S.-H., Kim, W.-J., and Yi, B.-J. (2019). Design and Implementation of a Multi-Function Gripper for Grasping General Objects. Appl. Sci., 9.","DOI":"10.3390\/app9245266"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Kim, Y.-J., Lee, Y., Kim, J., Lee, J.-W., Park, K.-M., Roh, K.-S., and Choi, J.-Y. (June, January 31). RoboRay hand: A highly backdrivable robotic hand with sensorless contact force measurements. Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China.","DOI":"10.1109\/ICRA.2014.6907850"},{"key":"ref_27","first-page":"58","article-title":"Design and simulation of an integrated end-effector for picking kiwifruit by robot","volume":"7","author":"Mu","year":"2020","journal-title":"Inf. Process. Agric."},{"key":"ref_28","first-page":"169","article-title":"Grasp analysis of a four-fingered robotic hand based on matlab simmechanics","volume":"9","author":"Neha","year":"2020","journal-title":"J. Comput. Appl. Res. Mech. Eng."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Zhou, J., Chen, X., Chang, U., Pan, J., Wang, W., and Wang, Z. (2018, January 6\u20139). Intuitive control of humanoid soft-robotic hand BCL-13. Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Beijing, China.","DOI":"10.1109\/HUMANOIDS.2018.8624947"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"James, S., Wohlhart, P., Kalakrishnan, M., Kalashnikov, D., Irpan, A., Ibarz, J., and Bousmalis, K. (2019, January 16\u201320). Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA.","DOI":"10.1109\/CVPR.2019.01291"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Setiawan, J.D., Ariyanto, M., Munadi, M., Mutoha, M., Glowacz, A., and Caesarendra, W. (2020). Grasp posture control of wearable extra robotic fingers with flex sensors based on neural network. Electronics, 9.","DOI":"10.3390\/electronics9060905"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Song, Y., Gao, L., Li, X., and Shen, W. (2020). A novel robotic grasp detection method based on region proposal networks. Robot. Comput. Integr. Manuf., 65.","DOI":"10.1016\/j.rcim.2020.101963"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"10996","DOI":"10.1109\/JSEN.2020.2995395","article-title":"A novel vision-based grasping method under occlusion for manipulating robotic system","volume":"20","author":"Yu","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Devaraja, R.R., Maskeli\u016bnas, R., and Dama\u0161evi\u010dius, R. (2020, January 1\u20134). AISRA: Anthropomorphic Robotic Hand for Small-Scale Industrial Applications. Proceedings of the 20th International Conference on Computational Science and its Applications, ICCSA 2020, Cagliari, Italy.","DOI":"10.1007\/978-3-030-58799-4_54"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Vaitkevi\u010dius, A., Taroza, M., Bla\u017eauskas, T., Dama\u0161evi\u010dius, R., Maskeli\u016bnas, R., and Wo\u017aniak, M. (2019). Recognition of American sign language gestures in a virtual reality using leap motion. Appl. Sci., 9.","DOI":"10.3390\/app9030445"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Hinton, G.E., Krizhevsky, A., and Wang, S.D. (2011). Transforming Auto-Encoders\/\/Artificial Neural Networks and Machine Learning, Springer.","DOI":"10.1007\/978-3-642-21735-7_6"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Ospina, D., and Ramirez-Serrano, A. (2020). Sensorless in-hand manipulation by an underactuated robot hand. J. Mech. Robot., 12.","DOI":"10.1115\/1.4046652"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Dama\u0161evi\u010dius, R., Majauskas, G., and \u0160tuikys, V. (2003, January 2\u20136). Application of design patterns for hardware design. Proceedings of the Design Automation Conference, Anaheim, CA, USA.","DOI":"10.1145\/775832.775847"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Dixon, C., and Tuyls, K. (2015). An Overview of Anthropomorphic Robot Hand and Mechanical Design of the Anthropomorphic Red Hand\u2014A Preliminary Work. Towards Autonomous Robotic Systems, Springer. TAROS 2015, Lecture Notes in Computer Science.","DOI":"10.1007\/978-3-319-22416-9"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3217","DOI":"10.1007\/s00170-019-03407-9","article-title":"Multi-focusing algorithm for microscopy imagery in assembly line using low-cost camera","volume":"102","author":"Raudonis","year":"2019","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Dama\u0161evi\u010dius, R., Maskeli\u016bnas, R., Narvydas, G., Narbutait\u0117, R., Po\u0142ap, D., and Wo\u017aniak, M. (2020). Intelligent automation of dental material analysis using robotic arm with Jerk optimized trajectory. J. Ambient Intell. Humaniz. Comput.","DOI":"10.1007\/s12652-020-02605-8"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Prasad, A., Gupta, S., and Tyagi, R. (2019). Design Issues in Multi-finger Robotic Hands: An Overview. Advances in Engineering Design, Springer. Lecture Notes in Mechanical Engineering.","DOI":"10.1007\/978-981-13-6469-3"},{"key":"ref_43","first-page":"88","article-title":"Low cost soft robotic grippers for reliable grasping","volume":"41","author":"Souhail","year":"2018","journal-title":"J. Mech. Eng. Res. Dev."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Khan, A.H., Nower Khan, F., Israt, L., and Islam, M.S. (2019, January 20\u201322). Thumb Controlled Low-Cost Prosthetic Robotic Arm. Proceedings of the IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), Coimbatore, India.","DOI":"10.1109\/ICECCT.2019.8869066"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Andrews, N., Jacob, S., Thomas, S.M., Sukumar, S., and Cherian, R.K. (2019, January 23\u201325). Low-Cost Robotic Arm for differently abled using Voice Recognition. Proceedings of the 3rd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India.","DOI":"10.1109\/ICOEI.2019.8862757"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/j.proeng.2017.02.436","article-title":"An Anthropomorphic Hand with Five Fingers Controlled by a Motion Leap Device","volume":"181","author":"Moldovan","year":"2017","journal-title":"Procedia Eng."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Lu, X., Hagihara, Y., and Yimit, A. (2019). Development of a high-performance tactile feedback display for three-dimensional shape rendering. Int. J. Adv. Robot. Syst., 16.","DOI":"10.1177\/1729881419863187"}],"container-title":["Computers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-431X\/10\/1\/1\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:48:18Z","timestamp":1760179698000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-431X\/10\/1\/1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,22]]},"references-count":47,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,1]]}},"alternative-id":["computers10010001"],"URL":"https:\/\/doi.org\/10.3390\/computers10010001","relation":{},"ISSN":["2073-431X"],"issn-type":[{"value":"2073-431X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,22]]}}}