A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks-Some New Trends
Grasping and assembly are essential tasks in high-precision robotic manipulation for industrial manufacturing as well as for home service applications. Many efforts have been devoted to this area in an attempt to meet the increasing precision requirement of the task. However, it remains a problemati...
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| Published in | IEEE/ASME transactions on mechatronics Vol. 24; no. 6; pp. 2718 - 2732 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.12.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Grasping and assembly are essential tasks in high-precision robotic manipulation for industrial manufacturing as well as for home service applications. Many efforts have been devoted to this area in an attempt to meet the increasing precision requirement of the task. However, it remains a problematic objective to fulfill high precision, high reliability, high speed, and high flexibility all at once during one robotic manipulation task. To find answers to the above-mentioned problem, this article tries to categorize, review, and compare the recent works focusing on robotic grasping and assembly tasks to reveal some potential trends in this research area. The approaches will be divided into five groups based on the difference in the utilization of sensing or constraints. For each part, robotic grasping and assembly will be treated as practical cases to illustrate the concrete work in that area. This article could give the readers some knowledge on the current developments in robotic manipulation, and provide new thoughts on future direction in this area-inspiring new designs, structures, and systems to meet new requirements in applications in industrial manufacturing and home service. |
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| AbstractList | Grasping and assembly are essential tasks in high-precision robotic manipulation for industrial manufacturing as well as for home service applications. Many efforts have been devoted to this area in an attempt to meet the increasing precision requirement of the task. However, it remains a problematic objective to fulfill high precision, high reliability, high speed, and high flexibility all at once during one robotic manipulation task. To find answers to the above-mentioned problem, this article tries to categorize, review, and compare the recent works focusing on robotic grasping and assembly tasks to reveal some potential trends in this research area. The approaches will be divided into five groups based on the difference in the utilization of sensing or constraints. For each part, robotic grasping and assembly will be treated as practical cases to illustrate the concrete work in that area. This article could give the readers some knowledge on the current developments in robotic manipulation, and provide new thoughts on future direction in this area-inspiring new designs, structures, and systems to meet new requirements in applications in industrial manufacturing and home service. |
| Author | Qiao, Hong Li, Rui |
| Author_xml | – sequence: 1 givenname: Rui orcidid: 0000-0002-8877-8524 surname: Li fullname: Li, Rui email: raysworld@outlook.com organization: Technical University of Munich, Munich, Germany – sequence: 2 givenname: Hong orcidid: 0000-0001-6384-3687 surname: Qiao fullname: Qiao, Hong email: hong.qiao@ia.ac.cn organization: State Key Lab of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China |
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| Cites_doi | 10.1109/IROS.2001.976345 10.1016/j.measurement.2015.01.005 10.1109/ICRA.2016.7487130 10.1186/s40648-016-0055-1 10.1007/s12541-018-0213-x 10.1109/87.865851 10.1109/ROBOT.1992.220069 10.1177/02783649922066222 10.1109/TMECH.2019.2894722 10.1109/ROBOT.2009.5152571 10.1109/TASE.2018.2790900 10.1109/ICRA.2014.6907062 10.1109/ICACI.2018.8377546 10.1109/MRA.2016.2636360 10.1109/TIE.2018.2823667 10.1007/s10439-018-2097-4 10.1109/ICRA.2014.6907465 10.1109/ICRA.2012.6225222 10.1109/TMECH.2014.2375638 10.1080/18756891.2016.1237193 10.1109/TCDS.2017.2706975 10.1109/ICRA.2014.6907218 10.1007/11008941_56 10.1109/TMECH.2017.2705180 10.1109/TNSRE.2016.2621068 10.1109/ROBOT.1990.126171 10.1016/j.robot.2017.04.001 10.1007/978-3-319-74621-0 10.1177/0278364914555720 10.1177/0278364912442972 10.1109/JSEN.2018.2868332 10.1109/TRO.2010.2040202 10.1109/TMECH.2015.2501019 10.1007/s12555-016-0017-7 10.1016/j.plrev.2016.02.001 10.3390/s18051412 10.1109/TMAG.2018.2845894 10.1109/TOH.2018.2837744 10.1017/S0263574714000770 10.1007/978-3-642-25116-0_27 10.1109/TRA.2002.805657 10.1109/AIM.2016.7576796 10.1007/s00170-011-3569-y 10.1109/HAVE.2009.5356124 10.1177/0278364913518357 10.1177/0278364914564232 10.1016/j.conengprac.2018.06.005 10.1177/0278364915571007 10.1115/1.4004497 10.1109/CVPR.2014.81 10.1007/s00170-010-2705-4 10.1109/IROS.2011.6095100 10.1109/CIVEMSA.2018.8439959 10.1109/TCYB.2016.2614809 10.1109/ICRA.2012.6224959 10.1109/JSEN.2015.2453013 10.1109/TMECH.2015.2448639 10.1109/TASE.2015.2469108 10.1177/027836498700600101 10.1117/12.2247370 10.1109/ASCC.2015.7244635 10.1177/0959651818779848 10.1016/j.robot.2018.03.003 10.1177/0278364913504247 10.1108/AA-05-2015-046 10.1109/ICRA.2018.8460887 10.1115/1.4033620 10.1109/JSEN.2018.2811407 10.1080/0020754031000110268 10.1177/0278364909105606 10.3389/fnbot.2018.00070 10.1089/soro.2017.0089 10.1080/00207540110093918 10.1109/TRO.2013.2273849 10.1109/COASE.2010.5584452 10.1007/s10514-018-9751-4 10.1109/TIE.2017.2682002 10.1007/s11548-018-1717-7 10.1109/ICRA.2016.7487342 10.1177/0278364914549607 10.1115/1.3143771 10.1007/s11633-017-1096-5 10.1115/DETC2015-47749 10.1007/s10845-012-0706-x 10.1108/IR-06-2017-0117 10.1109/70.88036 10.1109/ICRA.2018.8460689 10.1109/AIM.2017.8014131 10.1109/ICRA.2013.6630779 10.1016/j.neucom.2018.12.069 10.1016/j.rcim.2018.12.007 10.1109/URAI.2017.7992709 10.1109/ICSSE.2017.8030872 10.1109/ROBOT.2006.1642319 10.1115/1.4039591 10.1109/ICRA.2016.7487345 10.1177/027836499601500403 10.1177/0278364917710318 10.1109/IROS.1995.525827 10.1016/j.mechatronics.2012.10.005 10.1109/IECON.2015.7392172 10.1109/TMECH.2018.2844327 10.1109/TASE.2014.2371852 10.1016/j.neucom.2019.01.087 10.1109/TPAMI.2016.2577031 10.1109/ICARCV.2016.7838638 10.1109/TMECH.2018.2869477 10.1109/70.238278 10.1007/s10846-014-0045-6 10.1126/scirobotics.aau4984 10.1109/ICRA.2014.6907033 10.1109/TSMC.2016.2560530 10.1108/AA-06-2015-054 10.1109/TSMCC.2008.2001579 10.1016/j.rcim.2008.02.003 10.1109/IROS.2008.4650632 10.1109/70.34763 10.1109/TASE.2005.844437 10.1109/IROS.2011.6095043 10.1109/HUMANOIDS.2012.6651551 10.1177/027836499601500402 10.1177/0278364913507756 10.1109/ICSMC.1998.727561 10.1177/027836498600500402 10.1177/0278364909353955 10.1109/TMECH.2018.2865758 10.1108/01445151211198746 10.1098/rstb.2011.0152 10.1109/ICRA.2019.8793789 10.1109/IROS.2016.7759413 10.1126/scirobotics.aau6914 10.1109/ICRA.2015.7139637 10.1109/ICRA.2012.6225238 10.1080/01691864.2017.1371075 10.1016/j.robot.2018.05.003 10.1109/JSEN.2016.2605134 10.15607/RSS.2017.XIII.058 10.1109/ROBOT.2000.844071 10.1109/TFUZZ.2018.2859184 10.1016/j.precisioneng.2018.09.004 10.1109/IROS.2015.7353676 10.1109/TRO.2013.2239554 10.1007/s12541-014-0353-6 10.1007/s12206-018-0939-5 10.1109/IROS.1998.727483 10.2991/msmee-17.2017.248 10.1017/S0263574799002428 10.1109/TSMC.2013.2264935 10.1016/j.robot.2006.01.002 10.1080/716100282 10.1109/MRA.2016.2615332 10.1016/j.rcim.2017.05.013 10.1109/TSMCC.2011.2109948 10.1109/ICAR.2017.8023518 10.3390/s17092004 10.1177/0278364915577105 10.1109/AIM.2005.1511025 10.1109/ICRA.2013.6631216 10.1109/56.793 10.4028/www.scientific.net/SSP.164.265 10.1108/01445151111150613 10.1023/A:1013240031067 |
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| References | ref57 ref56 ref59 ref58 ref52 ref168 ref169 ref54 agrawal (ref13) 2009; 29 ref170 su (ref5) 0 ref177 ref178 choi (ref63) 2016; 21 ref175 ref51 ref176 ref50 ref173 ref174 ref171 ref172 ref46 ref45 ref48 ref47 ref42 ref41 ref179 ref44 ref43 baksys (ref120) 2008; 10 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref100 ref101 ref40 ref35 ref34 ref37 ref36 ref31 ref148 huang (ref15) 0 ref30 ref149 ref33 ref146 whitney (ref112) 0 ref32 ref147 ref39 ref38 ref155 ref156 ref153 ref154 ref151 ref152 ref150 kuperberg (ref140) 0 ref26 ref25 ref20 ref159 ref22 ref157 ref21 ref158 ref28 ref27 ref29 kim (ref67) 0; 2 ref166 ref167 ref164 ref165 ref162 ref163 ref160 ref161 ref12 ref128 ref129 ref14 montaño (ref86) 2018; 18 ref126 ref97 ref127 ref96 ref124 ref99 ref11 ref125 ref10 sun (ref98) 0 ref16 ref19 ref18 duan (ref23) 0 qiao (ref131) 0 ref133 ref93 ref134 ref92 ref95 ref132 ref94 ref130 ref91 ref90 ref89 ref139 ref138 ref85 ref135 ref88 ref136 ref87 ref144 ref82 ref145 ref81 ref142 ref84 ref143 ref83 ref141 ref80 xue (ref55) 2008; 16 ref79 ref108 ref78 zhu (ref65) 2018; 232 ref109 ref106 ref107 ref75 ref104 ref74 ref105 ref77 ref102 ref76 ref103 ref2 levine (ref24) 2017; 37 kilikevicius (ref118) 2007; 9 ref71 ref111 ref70 ref73 ref72 ref110 ref68 ref119 ref117 ref69 ref64 wu (ref1) 2015 ref115 xiao (ref66) 0 ref116 liu (ref137) 2014; 44 ref113 ref114 cai (ref17) 0 baksys (ref121) 2011 ref60 ref122 ref123 ref62 ref61 jang (ref53) 0 |
| References_xml | – start-page: 135 year: 0 ident: ref112 article-title: What is the remote center compliance (RCC) and what can it do? publication-title: Proc 9th Int Symp Ind Robots – ident: ref58 doi: 10.1109/IROS.2001.976345 – ident: ref77 doi: 10.1016/j.measurement.2015.01.005 – ident: ref101 doi: 10.1109/ICRA.2016.7487130 – ident: ref155 doi: 10.1186/s40648-016-0055-1 – ident: ref165 doi: 10.1007/s12541-018-0213-x – ident: ref64 doi: 10.1109/87.865851 – ident: ref95 doi: 10.1109/ROBOT.1992.220069 – ident: ref141 doi: 10.1177/02783649922066222 – ident: ref8 doi: 10.1109/TMECH.2019.2894722 – ident: ref59 doi: 10.1109/ROBOT.2009.5152571 – ident: ref49 doi: 10.1109/TASE.2018.2790900 – ident: ref151 doi: 10.1109/ICRA.2014.6907062 – ident: ref47 doi: 10.1109/ICACI.2018.8377546 – ident: ref60 doi: 10.1109/MRA.2016.2636360 – ident: ref50 doi: 10.1109/TIE.2018.2823667 – ident: ref41 doi: 10.1007/s10439-018-2097-4 – ident: ref18 doi: 10.1109/ICRA.2014.6907465 – ident: ref28 doi: 10.1109/ICRA.2012.6225222 – ident: ref139 doi: 10.1109/TMECH.2014.2375638 – ident: ref88 doi: 10.1080/18756891.2016.1237193 – ident: ref51 doi: 10.1109/TCDS.2017.2706975 – ident: ref152 doi: 10.1109/ICRA.2014.6907218 – ident: ref127 doi: 10.1007/11008941_56 – ident: ref138 doi: 10.1109/TMECH.2017.2705180 – ident: ref90 doi: 10.1109/TNSRE.2016.2621068 – ident: ref84 doi: 10.1109/ROBOT.1990.126171 – ident: ref40 doi: 10.1016/j.robot.2017.04.001 – ident: ref164 doi: 10.1007/978-3-319-74621-0 – ident: ref16 doi: 10.1177/0278364914555720 – ident: ref142 doi: 10.1177/0278364912442972 – year: 2015 ident: ref1 article-title: National greatest craftsmen – ident: ref106 doi: 10.1109/JSEN.2018.2868332 – ident: ref157 doi: 10.1109/TRO.2010.2040202 – ident: ref125 doi: 10.1109/TMECH.2015.2501019 – ident: ref81 doi: 10.1007/s12555-016-0017-7 – ident: ref171 doi: 10.1016/j.plrev.2016.02.001 – volume: 18 year: 2018 ident: ref86 article-title: Manipulation of unknown objects to improve the grasp quality using tactile information publication-title: SENSORS doi: 10.3390/s18051412 – ident: ref104 doi: 10.1109/TMAG.2018.2845894 – ident: ref91 doi: 10.1109/TOH.2018.2837744 – ident: ref145 doi: 10.1017/S0263574714000770 – ident: ref87 doi: 10.1007/978-3-642-25116-0_27 – ident: ref161 doi: 10.1109/TRA.2002.805657 – ident: ref178 doi: 10.1109/AIM.2016.7576796 – ident: ref134 doi: 10.1007/s00170-011-3569-y – start-page: 286 year: 0 ident: ref15 article-title: Fast peg-and-hole alignment using visual compliance publication-title: Proc IEEE/RSJ Int Conf Intell Robots Syst – ident: ref68 doi: 10.1109/HAVE.2009.5356124 – ident: ref176 doi: 10.1177/0278364913518357 – ident: ref99 doi: 10.1177/0278364914564232 – ident: ref80 doi: 10.1016/j.conengprac.2018.06.005 – ident: ref100 doi: 10.1177/0278364915571007 – ident: ref14 doi: 10.1115/1.4004497 – ident: ref9 doi: 10.1109/CVPR.2014.81 – ident: ref69 doi: 10.1007/s00170-010-2705-4 – start-page: 1151 year: 0 ident: ref66 article-title: Contact states: Representation and recognizability in the presence of uncertainties publication-title: Proc IEEE/RSJ Int Conf Intell Robots Syst – ident: ref26 doi: 10.1109/IROS.2011.6095100 – ident: ref38 doi: 10.1109/CIVEMSA.2018.8439959 – ident: ref103 doi: 10.1109/TCYB.2016.2614809 – start-page: 1360 year: 0 ident: ref17 article-title: A scalable approach for understanding the visual structures of hand grasps publication-title: Proc IEEE Int Conf Robot Autom – ident: ref162 doi: 10.1109/ICRA.2012.6224959 – ident: ref75 doi: 10.1109/JSEN.2015.2453013 – ident: ref154 doi: 10.1109/TMECH.2015.2448639 – ident: ref76 doi: 10.1109/TASE.2015.2469108 – ident: ref113 doi: 10.1177/027836498700600101 – ident: ref48 doi: 10.1117/12.2247370 – ident: ref6 doi: 10.1109/ASCC.2015.7244635 – volume: 232 start-page: 1260 year: 2018 ident: ref65 article-title: Decentralized adaptive force/position control of reconfigurable manipulator based on soft sensors publication-title: Proc Inst Mech Eng Part I J Syst Control Eng doi: 10.1177/0959651818779848 – ident: ref174 doi: 10.1016/j.robot.2018.03.003 – ident: ref177 doi: 10.1177/0278364913504247 – ident: ref163 doi: 10.1108/AA-05-2015-046 – ident: ref35 doi: 10.1109/ICRA.2018.8460887 – ident: ref128 doi: 10.1115/1.4033620 – ident: ref108 doi: 10.1109/JSEN.2018.2811407 – ident: ref133 doi: 10.1080/0020754031000110268 – ident: ref153 doi: 10.1177/0278364909105606 – ident: ref130 doi: 10.3389/fnbot.2018.00070 – ident: ref111 doi: 10.1089/soro.2017.0089 – ident: ref132 doi: 10.1080/00207540110093918 – ident: ref102 doi: 10.1109/TRO.2013.2273849 – ident: ref27 doi: 10.1109/COASE.2010.5584452 – ident: ref109 doi: 10.1007/s10514-018-9751-4 – ident: ref156 doi: 10.1109/TIE.2017.2682002 – ident: ref78 doi: 10.1007/s11548-018-1717-7 – ident: ref33 doi: 10.1109/ICRA.2016.7487342 – ident: ref30 doi: 10.1177/0278364914549607 – ident: ref123 doi: 10.1115/1.3143771 – ident: ref168 doi: 10.1007/s11633-017-1096-5 – ident: ref117 doi: 10.1115/DETC2015-47749 – ident: ref56 doi: 10.1007/s10845-012-0706-x – ident: ref42 doi: 10.1108/IR-06-2017-0117 – ident: ref93 doi: 10.1109/70.88036 – ident: ref22 doi: 10.1109/ICRA.2018.8460689 – ident: ref72 doi: 10.1109/AIM.2017.8014131 – ident: ref143 doi: 10.1109/ICRA.2013.6630779 – ident: ref179 doi: 10.1016/j.neucom.2018.12.069 – volume: 9 start-page: 35 year: 2007 ident: ref118 article-title: Analysis of insertion process for robotic assembly publication-title: J Vibroeng – ident: ref20 doi: 10.1016/j.rcim.2018.12.007 – ident: ref46 doi: 10.1109/URAI.2017.7992709 – ident: ref44 doi: 10.1109/ICSSE.2017.8030872 – ident: ref62 doi: 10.1109/ROBOT.2006.1642319 – ident: ref129 doi: 10.1115/1.4039591 – ident: ref149 doi: 10.1109/ICRA.2016.7487345 – ident: ref97 doi: 10.1177/027836499601500403 – volume: 37 start-page: 421 year: 2017 ident: ref24 article-title: Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection publication-title: Int J Robot Res doi: 10.1177/0278364917710318 – ident: ref124 doi: 10.1109/IROS.1995.525827 – ident: ref79 doi: 10.1016/j.mechatronics.2012.10.005 – volume: 2 start-page: 948 year: 0 ident: ref67 article-title: Active peg-in-hole of chamferless parts using force/moment sensor publication-title: Proc IEEE/RSJ Int Conf Intell Robots Syst – ident: ref144 doi: 10.1109/IECON.2015.7392172 – ident: ref83 doi: 10.1109/TMECH.2018.2844327 – ident: ref146 doi: 10.1109/TASE.2014.2371852 – start-page: 608 year: 2011 ident: ref121 article-title: Experimental investigation of vibratory assembly with passive compliance publication-title: Mechanika – ident: ref21 doi: 10.1016/j.neucom.2019.01.087 – ident: ref10 doi: 10.1109/TPAMI.2016.2577031 – ident: ref148 doi: 10.1109/ICARCV.2016.7838638 – ident: ref82 doi: 10.1109/TMECH.2018.2869477 – ident: ref94 doi: 10.1109/70.238278 – ident: ref37 doi: 10.1007/s10846-014-0045-6 – ident: ref36 doi: 10.1126/scirobotics.aau4984 – ident: ref57 doi: 10.1109/ICRA.2014.6907033 – start-page: 1114 year: 0 ident: ref98 article-title: Fingertip force and contact position and orientation sensor publication-title: Proc IEEE Int Conf Robot Autom – start-page: 584 year: 0 ident: ref140 article-title: Problems on polytopes and convex sets publication-title: Proc DIMACS Workshop on Polytopes – ident: ref39 doi: 10.1109/TSMC.2016.2560530 – ident: ref167 doi: 10.1108/AA-06-2015-054 – ident: ref3 doi: 10.1109/TSMCC.2008.2001579 – ident: ref61 doi: 10.1016/j.rcim.2008.02.003 – ident: ref4 doi: 10.1109/IROS.2008.4650632 – ident: ref92 doi: 10.1109/70.34763 – ident: ref116 doi: 10.1109/TASE.2005.844437 – ident: ref158 doi: 10.1109/IROS.2011.6095043 – ident: ref126 doi: 10.1109/HUMANOIDS.2012.6651551 – ident: ref96 doi: 10.1177/027836499601500402 – ident: ref29 doi: 10.1177/0278364913507756 – start-page: 3281 year: 0 ident: ref5 article-title: A vision-based 3D grasp planning approach with one single image publication-title: Proc Int Conf Mechatronics Autom – ident: ref11 doi: 10.1109/ICSMC.1998.727561 – ident: ref85 doi: 10.1177/027836498600500402 – volume: 29 start-page: 155 year: 2009 ident: ref13 article-title: Vision-guided robot system for picking objects by casting shadows publication-title: Int J Robot Res doi: 10.1177/0278364909353955 – ident: ref7 doi: 10.1109/TMECH.2018.2865758 – start-page: 1 year: 0 ident: ref23 article-title: One-shot imitation learning publication-title: Proc 31st Conf Neural Inf Process Syst – ident: ref135 doi: 10.1108/01445151211198746 – ident: ref170 doi: 10.1098/rstb.2011.0152 – ident: ref25 doi: 10.1109/ICRA.2019.8793789 – ident: ref32 doi: 10.1109/IROS.2016.7759413 – ident: ref110 doi: 10.1126/scirobotics.aau6914 – ident: ref19 doi: 10.1109/ICRA.2015.7139637 – ident: ref169 doi: 10.1109/ICRA.2012.6225238 – ident: ref150 doi: 10.1080/01691864.2017.1371075 – ident: ref107 doi: 10.1016/j.robot.2018.05.003 – ident: ref89 doi: 10.1109/JSEN.2016.2605134 – ident: ref34 doi: 10.15607/RSS.2017.XIII.058 – ident: ref160 doi: 10.1109/ROBOT.2000.844071 – ident: ref105 doi: 10.1109/TFUZZ.2018.2859184 – ident: ref166 doi: 10.1016/j.precisioneng.2018.09.004 – start-page: 3111 year: 0 ident: ref53 article-title: A visibility-based accessibility analysis of the grasp points for real-time manipulation publication-title: Proc IEEE/RSJ Int Conf Intell Robots Syst – ident: ref172 doi: 10.1109/IROS.2015.7353676 – ident: ref74 doi: 10.1109/TRO.2013.2239554 – ident: ref71 doi: 10.1007/s12541-014-0353-6 – ident: ref159 doi: 10.1007/s12206-018-0939-5 – ident: ref115 doi: 10.1109/IROS.1998.727483 – ident: ref43 doi: 10.2991/msmee-17.2017.248 – ident: ref175 doi: 10.1017/S0263574799002428 – volume: 44 start-page: 605 year: 2014 ident: ref137 article-title: Vision-based 3-D grasping of 3-D objects with a simple 2-D gripper publication-title: IEEE Trans Syst Man Cybern Syst doi: 10.1109/TSMC.2013.2264935 – volume: 21 start-page: 130 year: 2016 ident: ref63 article-title: A laparoscopic grasping tool with force sensing capability publication-title: IEEE/ASME Trans Mechatronics – ident: ref2 doi: 10.1016/j.robot.2006.01.002 – ident: ref173 doi: 10.1080/716100282 – ident: ref147 doi: 10.1109/MRA.2016.2615332 – ident: ref52 doi: 10.1016/j.rcim.2017.05.013 – ident: ref136 doi: 10.1109/TSMCC.2011.2109948 – ident: ref45 doi: 10.1109/ICAR.2017.8023518 – ident: ref73 doi: 10.3390/s17092004 – volume: 10 start-page: 69 year: 2008 ident: ref120 article-title: Vibratory alignment of parts during robotized assembly publication-title: J Vibroeng – ident: ref31 doi: 10.1177/0278364915577105 – ident: ref54 doi: 10.1109/AIM.2005.1511025 – ident: ref70 doi: 10.1109/ICRA.2013.6631216 – ident: ref114 doi: 10.1109/56.793 – volume: 16 start-page: 624 year: 2008 ident: ref55 article-title: Analysis on round-hole orientation error based on structured light stripe vision sensor publication-title: Opt Precis Eng – ident: ref122 doi: 10.4028/www.scientific.net/SSP.164.265 – ident: ref119 doi: 10.1108/01445151111150613 – start-page: 1420 year: 0 ident: ref131 article-title: Attractive regions in the environment [motion planning] publication-title: Proc IEEE Int Conf Robot Autom Symp Proc (Cat No 00CH37065) – ident: ref12 doi: 10.1023/A:1013240031067 |
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| Snippet | Grasping and assembly are essential tasks in high-precision robotic manipulation for industrial manufacturing as well as for home service applications. Many... |
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| SubjectTerms | Assembly environmental constraint Grasping Grasping (robotics) Industrial applications Robot sensing systems Robotic assembly robotic manipulation Robotics sensing Task analysis Trends Visualization |
| Title | A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks-Some New Trends |
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