This paper presents a tele-operated robotic hand controlled by replication of human hand motions and is focused on the description of technical solutions for detection and tele-replication of movements, in order to control a robotic hand. The purpose of such research is justified by the need of high precision human controlled operations in special environments. The system is based on a flex sensors set with processing units and has as effectors a robotic arm and an anthropomorphic hand. The current article displays the modality of achieving an anthropomorphic robotic arm capable of efficiently handling objects of different sizes. In order to implement and test the technical and computing solutions, the authors have used a commercial product as experimental platform and improved it both in its mechanical structure and in its command and control system. For implementing the motion algorithms of the robotic arm, a method was developed for decoding arm movements performed by a human operator. To this end, bending sensors placed at the human operator’s joints (shoulder, elbow, wrist and fingers) were used. Signals collected from the sensors during the realization of these different movements by the human operator were decoded, processed and implemented in the drive system corresponding to the anthropomorphic robotic arm. In this regard, all sets of complex movements by the human arm operator were duplicated and implemented in the anthropomorphic robotic arm. The results obtained in handling various objects by means of using the anthropomorphic robotic arm have certified the effectiveness of this method.
Published in | American Journal of Aerospace Engineering (Volume 2, Issue 4) |
DOI | 10.11648/j.ajae.20150204.11 |
Page(s) | 30-35 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Robotic Hand, Robotic Arm, Flex Sensors, Motion Replication
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APA Style
Lucian Milea, Monica Dascalu, Eduard Franti, Suzana Cismas, Doina Moraru, et al. (2015). Detection and Tele-replication of Human Hand Motions by a Robotic Hand. American Journal of Aerospace Engineering, 2(4), 30-35. https://doi.org/10.11648/j.ajae.20150204.11
ACS Style
Lucian Milea; Monica Dascalu; Eduard Franti; Suzana Cismas; Doina Moraru, et al. Detection and Tele-replication of Human Hand Motions by a Robotic Hand. Am. J. Aerosp. Eng. 2015, 2(4), 30-35. doi: 10.11648/j.ajae.20150204.11
AMA Style
Lucian Milea, Monica Dascalu, Eduard Franti, Suzana Cismas, Doina Moraru, et al. Detection and Tele-replication of Human Hand Motions by a Robotic Hand. Am J Aerosp Eng. 2015;2(4):30-35. doi: 10.11648/j.ajae.20150204.11
@article{10.11648/j.ajae.20150204.11, author = {Lucian Milea and Monica Dascalu and Eduard Franti and Suzana Cismas and Doina Moraru and Florin Lazo and Elteto Zoltan}, title = {Detection and Tele-replication of Human Hand Motions by a Robotic Hand}, journal = {American Journal of Aerospace Engineering}, volume = {2}, number = {4}, pages = {30-35}, doi = {10.11648/j.ajae.20150204.11}, url = {https://doi.org/10.11648/j.ajae.20150204.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajae.20150204.11}, abstract = {This paper presents a tele-operated robotic hand controlled by replication of human hand motions and is focused on the description of technical solutions for detection and tele-replication of movements, in order to control a robotic hand. The purpose of such research is justified by the need of high precision human controlled operations in special environments. The system is based on a flex sensors set with processing units and has as effectors a robotic arm and an anthropomorphic hand. The current article displays the modality of achieving an anthropomorphic robotic arm capable of efficiently handling objects of different sizes. In order to implement and test the technical and computing solutions, the authors have used a commercial product as experimental platform and improved it both in its mechanical structure and in its command and control system. For implementing the motion algorithms of the robotic arm, a method was developed for decoding arm movements performed by a human operator. To this end, bending sensors placed at the human operator’s joints (shoulder, elbow, wrist and fingers) were used. Signals collected from the sensors during the realization of these different movements by the human operator were decoded, processed and implemented in the drive system corresponding to the anthropomorphic robotic arm. In this regard, all sets of complex movements by the human arm operator were duplicated and implemented in the anthropomorphic robotic arm. The results obtained in handling various objects by means of using the anthropomorphic robotic arm have certified the effectiveness of this method.}, year = {2015} }
TY - JOUR T1 - Detection and Tele-replication of Human Hand Motions by a Robotic Hand AU - Lucian Milea AU - Monica Dascalu AU - Eduard Franti AU - Suzana Cismas AU - Doina Moraru AU - Florin Lazo AU - Elteto Zoltan Y1 - 2015/10/23 PY - 2015 N1 - https://doi.org/10.11648/j.ajae.20150204.11 DO - 10.11648/j.ajae.20150204.11 T2 - American Journal of Aerospace Engineering JF - American Journal of Aerospace Engineering JO - American Journal of Aerospace Engineering SP - 30 EP - 35 PB - Science Publishing Group SN - 2376-4821 UR - https://doi.org/10.11648/j.ajae.20150204.11 AB - This paper presents a tele-operated robotic hand controlled by replication of human hand motions and is focused on the description of technical solutions for detection and tele-replication of movements, in order to control a robotic hand. The purpose of such research is justified by the need of high precision human controlled operations in special environments. The system is based on a flex sensors set with processing units and has as effectors a robotic arm and an anthropomorphic hand. The current article displays the modality of achieving an anthropomorphic robotic arm capable of efficiently handling objects of different sizes. In order to implement and test the technical and computing solutions, the authors have used a commercial product as experimental platform and improved it both in its mechanical structure and in its command and control system. For implementing the motion algorithms of the robotic arm, a method was developed for decoding arm movements performed by a human operator. To this end, bending sensors placed at the human operator’s joints (shoulder, elbow, wrist and fingers) were used. Signals collected from the sensors during the realization of these different movements by the human operator were decoded, processed and implemented in the drive system corresponding to the anthropomorphic robotic arm. In this regard, all sets of complex movements by the human arm operator were duplicated and implemented in the anthropomorphic robotic arm. The results obtained in handling various objects by means of using the anthropomorphic robotic arm have certified the effectiveness of this method. VL - 2 IS - 4 ER -