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001440509 020__ $$a9783030890957$$q(electronic bk.)
001440509 020__ $$a3030890953$$q(electronic bk.)
001440509 020__ $$z9783030890940$$q(print)
001440509 0247_ $$a10.1007/978-3-030-89095-7$$2doi
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001440509 049__ $$aISEA
001440509 050_4 $$aTJ210.3$$b.I259 2021eb
001440509 08204 $$a629.8/92$$223
001440509 1112_ $$aICIRA (Conference)$$n(14th :$$d2021 :$$cYantai, Shandong Sheng, China)
001440509 24510 $$aIntelligent Robotics and Applications :$$b14th International Conference, ICIRA 2021, Yantai, China, October 22-25, 2021, Proceedings.$$nPart I /$$cXin-Jun Liu, Zhenguo Nie, Jingjun Yu, Fugui Xie, Rui Song (eds.).
001440509 2463_ $$aICIRA 2021
001440509 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001440509 300__ $$a1 online resource (xvi, 826 pages) :$$billustrations (some color)
001440509 336__ $$atext$$btxt$$2rdacontent
001440509 337__ $$acomputer$$bc$$2rdamedia
001440509 338__ $$aonline resource$$bcr$$2rdacarrier
001440509 347__ $$atext file
001440509 347__ $$bPDF
001440509 4901_ $$aLecture notes in artificial intelligence
001440509 4901_ $$aLecture notes in computer science ;$$v13013
001440509 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001440509 500__ $$aIncludes author index.
001440509 5050_ $$aIntro -- Preface -- Organization -- Contents -- Part I -- Robotic Dexterous Manipulation -- A Spatial Layout Method of Robots Relative to Operating Space Based on Its Flexible Workspace Simulation -- 1 Introduction -- 2 Kinematics Analysis Based on Screw Theory -- 3 Workspace Optimization and Layout of the Six-DOFs Robot -- 3.1 Workspace Optimization of the Six-DOFs Robot -- 3.2 Layout of the Six-DOFs Robot -- 4 Simulation Example and Its Analysis -- 5 Conclusion and Future Work -- References -- Hand Posture Reconstruction Through Task-Dependent Hand Synergies -- 1 Introduction
001440509 5058_ $$a2 Experiment Description -- 2.1 Participants -- 2.2 Apparatus and Experimental Procedure -- 3 Hand Synergies Extraction -- 3.1 Grasp Types Clustering -- 3.2 Task-Dependent Hand Synergies Extraction -- 4 Results and Discussion -- 4.1 Clustering Results of the GRASP Taxonomy -- 4.2 Overall Dependencies Between Finger Joints -- 4.3 The Joint Contribution to Task-Dependent Hand Synergies -- 5 Conclusion -- References -- Application of CG Pseudo-spectral Method to Optimal Posture Adjustment of Robot Manipulator -- 1 Introduction -- 2 Problem Formulation -- 2.1 Dynamic Model of the Robot Manipulator
001440509 5058_ $$a2.2 Optimal Control -- 3 CG Pseudo-spectral Method -- 3.1 The Affine Transformation of Time and Approximation of Variable -- 3.2 Procedure of Optimization -- 4 Simulation Results -- 4.1 Parameters and Objective Settings -- 4.2 Results of Three Cases -- 4.3 Discussions -- 5 Conclusions -- References -- Semi-autonomous Robotic Manipulation by Tele-Operation with Master-Slave Robots and Autonomy Based on Vision and Force Sensing -- 1 Introduction -- 2 Architecture of the Semi-autonomous System -- 3 Master-Slave Mapping for Teleopertation -- 4 Identification and Location of Screw Nut by Vision
001440509 5058_ $$a5 Fitting Screw Nut Based on Force Sensing -- 6 Implementation and Experiments -- 7 Conclusion -- References -- Adaptive Grasping Strategy of Dexterous Hand Based on T-test -- 1 Introduction -- 2 Hardware Setup -- 3 Method -- 3.1 Slip Detection Algorithm Based on T-test -- 3.2 Adaptive Grasping Strategy -- 4 Experimental Evaluation -- 4.1 Experimental Evaluation of Slip Detection Algorithm -- 4.2 Experimental Evaluation of Adaptive Grasping Strategy -- 5 Conclusion -- References -- Reinforcement Learning Strategy Based on Multimodal Representations for High-Precision Assembly Tasks
001440509 5058_ $$a1 Introduction -- 2 Learning Strategy Based on Multimodal Fusion -- 2.1 Latent Representation -- 2.2 Pose Estimation Based on Supervised Learning -- 2.3 Policy Learning -- 2.4 Controller -- 3 Simulation and Results Analysis -- 3.1 Simulation Environment -- 3.2 Design of Reward Function -- 3.3 Implementation Details -- 3.4 Results -- 4 Conclusions -- References -- A Scalable Resource Management Architecture for Industrial Fog Robots -- 1 Introduction -- 2 Architecture -- 2.1 Resource Management -- 2.2 The Architecture -- 3 Case Study -- 3.1 Difficulties -- 3.2 The Proposed Solution -- 4 Evaluation
001440509 506__ $$aAccess limited to authorized users.
001440509 520__ $$aThe 4-volume set LNAI 13013-13016 constitutes the proceedings of the 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021, which took place in Yantai, China, during October 22-25, 2021. The 299 papers included in these proceedings were carefully reviewed and selected from 386 submissions. They were organized in topical sections as follows: Robotics dexterous manipulation; sensors, actuators, and controllers for soft and hybrid robots; cable-driven parallel robot; human-centered wearable robotics; hybrid system modeling and human-machine interface; robot manipulation skills learning; micro_nano materials, devices, and systems for biomedical applications; actuating, sensing, control, and instrumentation for ultra-precision engineering; human-robot collaboration; robotic machining; medical robot; machine intelligence for human motion analytics; human-robot interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering.
001440509 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 26, 2021).
001440509 650_0 $$aRobotics$$vCongresses.
001440509 650_0 $$aArtificial intelligence$$vCongresses.
001440509 650_6 $$aRobotique$$vCongrès.
001440509 650_6 $$aIntelligence artificielle$$vCongrès.
001440509 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440509 655_7 $$aConference papers and proceedings.$$2lcgft
001440509 655_7 $$aActes de congrès.$$2rvmgf
001440509 655_0 $$aElectronic books.
001440509 7001_ $$aLiu, Xin-Jun,$$eeditor.
001440509 7001_ $$aNie, Zhenguo,$$eeditor.
001440509 7001_ $$aYu, Jingjun,$$eeditor.
001440509 7001_ $$aXie, Fugui,$$eeditor.
001440509 7001_ $$aSong, Rui,$$eeditor.
001440509 77608 $$iPrint version: $$z9783030890940
001440509 77608 $$iPrint version: $$z9783030890964
001440509 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001440509 830_0 $$aLecture notes in computer science ;$$v13013.
001440509 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001440509 852__ $$bebk
001440509 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89095-7$$zOnline Access$$91397441.1
001440509 909CO $$ooai:library.usi.edu:1440509$$pGLOBAL_SET
001440509 980__ $$aBIB
001440509 980__ $$aEBOOK
001440509 982__ $$aEbook
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