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001440385 001__ 1440385
001440385 003__ OCoLC
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001440385 019__ $$a1287766663$$a1292517728
001440385 020__ $$a9783030890988$$q(electronic bk.)
001440385 020__ $$a3030890988$$q(electronic bk.)
001440385 020__ $$z9783030890971$$q(print)
001440385 0247_ $$a10.1007/978-3-030-89098-8$$2doi
001440385 035__ $$aSP(OCoLC)1277148885
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001440385 049__ $$aISEA
001440385 050_4 $$aTJ210.3$$b.I259 2021eb
001440385 08204 $$a629.8/92$$223
001440385 1112_ $$aICIRA (Conference)$$n(14th :$$d2021 :$$cYantai, Shandong Sheng, China)
001440385 24510 $$aIntelligent robotics and applications :$$b14th International Conference, ICIRA 2021, Yantai, China, October 22-25, 2021, Proceedings.$$nPart II /$$cXin-Jun Liu, Zhenguo Nie, Jingjun Yu, Fugui Xie, Rui Song (eds.).
001440385 2463_ $$aICIRA 2021
001440385 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001440385 300__ $$a1 online resource (xvi, 846 pages) :$$billustrations (some color)
001440385 336__ $$atext$$btxt$$2rdacontent
001440385 337__ $$acomputer$$bc$$2rdamedia
001440385 338__ $$aonline resource$$bcr$$2rdacarrier
001440385 347__ $$atext file
001440385 347__ $$bPDF
001440385 4901_ $$aLecture notes in artificial intelligence
001440385 4901_ $$aLecture notes in computer science ;$$v13014
001440385 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence
001440385 500__ $$aIncludes author index.
001440385 5050_ $$aIntro -- Preface -- Organization -- Contents -- Part II -- Hybrid System Modeling and Human-Machine Interface -- Generation of Collision-Free Five-Axis Sweep Scanning Path Using Graphics Engine -- 1 Introduction -- 2 Preliminary -- 3 Collision-Free Scanning Path Planning -- 3.1 Image-Based Representation of Collision-Free Conditions -- 3.2 Collision Detection by Graphics Engine -- 3.3 Incremental Algorithm for Generating Admissible Areas -- 4 Experiment -- 5 Conclusion -- References -- Multi-robot Cooperative System Modeling and Control Software Development -- 1 Introduction
001440385 5058_ $$a2 Multi-robot Collaborative System Modeling -- 2.1 Coordinated Operation Model -- 2.2 Kinematic Modeling -- 2.3 Dynamics Modeling -- 3 Collaborative Control System Frame and Methods -- 3.1 Control Frame Design -- 3.2 Position and Force Distribution -- 3.3 Motor Control and Motion Planning -- 3.4 Multi-arm Compliance Control Method -- 4 Control System Software -- 4.1 Demand Analysis -- 4.2 Overall Design -- 4.3 Design of Each Layer -- 4.4 Main Modules -- 4.5 Software Interface -- 5 Experiment Verification -- 5.1 Experimental System -- 5.2 Motion Planning Experiment
001440385 5058_ $$a5.3 Compliance Control Experiment -- 6 Conclusion -- References -- Gesture Recognition and Conductivity Reconstruction Parameters Analysis with an Electrical-Impedance-Tomography (EIT) Based Interface: Preliminary Results -- 1 Introduction -- 2 The Hardware and Algorithm of Measurement System -- 2.1 Hardware -- 2.2 Construction Algorithms -- 3 Methods -- 3.1 Gesture Recognition Based on EIT -- 3.2 Conductivity Reconstruction Parameters Analysis -- 4 Results -- 4.1 Recognition Accuracy -- 4.2 The Effect of EIT Parameters -- 5 Discussions and Conclusions -- References
001440385 5058_ $$aRobot Manipulation Skills Learning -- Depth from Shading Based on Online Illumination Estimation Under RAMIS Environment -- 1 Introduction -- 2 Shape from Shading -- 3 Method -- 4 Experiment and Result -- 5 Conclusion -- References -- Self-learning Visual Servoing for Robot Manipulation in Unstructured Environments -- 1 Introduction -- 2 Descriptions on Visual Servoing -- 3 Robust MCSIS Learning Estimator -- 4 Nonparametric Visual Servoing Framework -- 5 Results and Discussions -- 6 Conclusion -- References -- Obstacle Avoidance Methods Based on Geometric Information Under the DMPs Framework
001440385 5058_ $$a1 Introduction -- 2 Obstacle Avoidance Based on Geometric Information -- 2.1 The Fundamental Principle of DMPs Framework -- 2.2 Obstacle Avoidance Based on Ellipsoidal Offset of Static Obstacles -- 2.3 Obstacle Avoidance Based on Dangerous Zone Offset of a Moving Obstacle -- 3 Simulation and Analysis -- 3.1 Simulation -- 3.2 Trajectory Evaluation in Static Obstacle Avoidance -- 4 Real Experiments in Static and Dynamic Environment -- 5 Conclusion -- References -- Integrated Classical Planning and Motion Planning for Complex Robot Tasks -- 1 Introduction -- 2 Literture Review -- 3 Methods
001440385 506__ $$aAccess limited to authorized users.
001440385 520__ $$aThe 4-volume set LNAI 13013-13016 constitutes the proceedings of the 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021, which took place in Yantai, China, during October 22-25, 2021. The 299 papers included in these proceedings were carefully reviewed and selected from 386 submissions. They were organized in topical sections as follows: Robotics dexterous manipulation; sensors, actuators, and controllers for soft and hybrid robots; cable-driven parallel robot; human-centered wearable robotics; hybrid system modeling and human-machine interface; robot manipulation skills learning; micro_nano materials, devices, and systems for biomedical applications; actuating, sensing, control, and instrumentation for ultra-precision engineering; human-robot collaboration; robotic machining; medical robot; machine intelligence for human motion analytics; human-robot interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering.
001440385 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 19, 2021).
001440385 650_0 $$aRobotics$$vCongresses.
001440385 650_0 $$aArtificial intelligence$$vCongresses.
001440385 650_6 $$aRobotique$$vCongrès.
001440385 650_6 $$aIntelligence artificielle$$vCongrès.
001440385 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440385 655_7 $$aConference papers and proceedings.$$2lcgft
001440385 655_7 $$aActes de congrès.$$2rvmgf
001440385 655_0 $$aElectronic books.
001440385 7001_ $$aLiu, Xin-Jun,$$eeditor.
001440385 7001_ $$aNie, Zhenguo,$$eeditor.
001440385 7001_ $$aYu, Jingjun,$$eeditor.
001440385 7001_ $$aXie, Fugui,$$eeditor.
001440385 7001_ $$aSong, Rui,$$eeditor.
001440385 77608 $$iPrint version: $$z9783030890971
001440385 77608 $$iPrint version: $$z9783030890995
001440385 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001440385 830_0 $$aLecture notes in computer science ;$$v13014.
001440385 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001440385 852__ $$bebk
001440385 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89098-8$$zOnline Access$$91397441.1
001440385 909CO $$ooai:library.usi.edu:1440385$$pGLOBAL_SET
001440385 980__ $$aBIB
001440385 980__ $$aEBOOK
001440385 982__ $$aEbook
001440385 983__ $$aOnline
001440385 994__ $$a92$$bISE