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001484443 001__ 1484443
001484443 003__ OCoLC
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001484443 008__ 231202s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001484443 019__ $$a1411310324
001484443 020__ $$a9783031483035$$q(electronic bk.)
001484443 020__ $$a3031483030$$q(electronic bk.)
001484443 020__ $$z9783031483028
001484443 020__ $$z3031483022
001484443 0247_ $$a10.1007/978-3-031-48303-5$$2doi
001484443 035__ $$aSP(OCoLC)1411185547
001484443 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO
001484443 049__ $$aISEA
001484443 050_4 $$aTJ212.2
001484443 08204 $$a629.8$$223/eng/20231214
001484443 1112_ $$aInternational Conference on Informatics in Control, Automation and Robotics$$n(19th :$$d2022 :$$cLisbon, Portugal)
001484443 24510 $$aInformatics in control, automation and robotics :$$b19th international conference, ICINCO 2022, Lisbon, Portugal, July 14-16, 2022, revised selected papers /$$cGiuseppina Gini, Henk Nijmeijer, Wolfram Burgard, Dimitar Filev, editors.
001484443 24630 $$aICINCO 2022
001484443 264_1 $$aCham :$$bSpringer,$$c[2023]
001484443 264_4 $$c©2023
001484443 300__ $$a1 online resource (xiii, 147 pages) :$$billustrations (some color).
001484443 336__ $$atext$$btxt$$2rdacontent
001484443 337__ $$acomputer$$bc$$2rdamedia
001484443 338__ $$aonline resource$$bcr$$2rdacarrier
001484443 4901_ $$aLecture notes in networks and systems ;$$v836
001484443 500__ $$aSelected conference proceedings.
001484443 500__ $$aIncludes author index.
001484443 5050_ $$aIntro -- Preface -- Organization -- Contents -- Improved Robust Neural Network for Sim2Real Gap in System Dynamics for End-to-End Autonomous Driving -- 1 Introduction -- 2 Simple Mathematical Model -- 2.1 System Model Without Controller -- 2.2 P-Controller for Vehicle -- 2.3 Offset to Steering Angle -- 3 Previous Results with PilotNetRLSTM -- 4 PilotNetCLSTM and PilotNetCF -- 4.1 Naming Convention -- 4.2 Discretization of Steering Angles -- 4.3 Neural Network Architecture -- 5 Experimental Setup -- 5.1 Dataset Creation Methods -- 5.2 Dataset Overview -- 5.3 Evaluation Methods
001484443 5058_ $$a6 Experimental Results -- 6.1 Comparing Results for Steering Offset -- 6.2 Comparing Results for Normal Driving Test -- 6.3 Comparing Results for Accuracies on the Validation Dataset -- 7 Discussion and Conclusion -- References -- Optimal Robust Control with Applications for a Reconfigurable Robot -- 1 Introduction -- 2 Kinematics Development -- 3 Optimal Robust Control -- 3.1 Mixed Sensitivity H Control -- 3.2 H Control Design -- 4 Application of Mixed Sensitivity H Control (Simulation and Results) -- 4.1 Application of H Control (Simulation and Results)
001484443 5058_ $$a4.2 Application of -Synthesis Control and DK Iterations (Simulation and Results) -- 4.3 Comparison of H and -Controllers -- 5 Conclusions -- References -- Improving 2D Scanning Radar and 3D Lidar Calibration -- 1 Introduction -- 2 Radar Basics -- 3 Related Works -- 3.1 Target-Based Methods -- 3.2 Target-Less Methods -- 3.3 Speckle Filtering of Radar Signals -- 3.4 Improving Resolution of Radar Signals -- 3.5 Contribution -- 4 Methodology -- 4.1 Assumptions -- 4.2 Synchronization -- 4.3 Motion Correction -- 4.4 Preprocessing -- 4.5 Matching -- 4.6 Optimization -- 5 Experiments
001484443 5058_ $$a5.1 Test Data and Environment -- 5.2 Improved Radar Filtering -- 5.3 Plane Optimization -- 5.4 Validation -- 6 Results -- 6.1 Improved Radar Filtering -- 6.2 Plane Optimization -- 6.3 Validation -- 7 Conclusion -- References -- Mobile Robots for Teleoperated Radiation Protection Tasks in the Super Proton Synchrotron -- 1 Introduction -- 1.1 The Significance of Radiation Protection Measures at CERN -- 1.2 Conducting Radiation Surveys in the Super Proton Synchrotron (SPS) -- 1.3 Mobile Robotics for Inspection: Advantages and Challenges -- 2 State of the Art on Teleoperated Robotics for Inspection
001484443 5058_ $$a3 A Mobile Robot for Radiation Protection Operations -- 3.1 Hardware -- 3.2 Software Development and Integration -- 4 Experimental Assessment -- 4.1 Testing Methodology -- 4.2 Robotic Radiation Survey Results -- 4.3 Dual Robot Setup -- 5 Final Thoughts and Future Directions -- References -- A Review of Classical and Learning Based Approaches in Task and Motion Planning -- 1 Introduction -- 2 Background -- 2.1 Task Planning -- 2.2 Motion Planning -- 2.3 Task and Motion Planning Objectives -- 3 Task and Motion Planning Methods -- 3.1 Classical Methods -- 3.2 Learning Based Methods
001484443 506__ $$aAccess limited to authorized users.
001484443 520__ $$aThe book focuses the latest endeavors relating researches and developments conducted in fields of control, robotics, and automation. Through ten revised and extended articles, the present book aims to provide the most up-to-date state-of-the-art of the aforementioned fields allowing researcher, Ph.D. students, and engineers not only updating their knowledge but also benefiting from the source of inspiration that represents the set of selected articles of the book. The deliberate intention of editors to cover as well theoretical facets of those fields as their practical accomplishments and implementations offers the benefit of gathering in a same volume a factual and well-balanced prospect of nowadays research in those topics. A special attention toward Intelligent Robots and Control may characterize another benefit of this book.
001484443 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 14, 2023).
001484443 650_6 $$aCommande automatique$$vCongrès.
001484443 650_6 $$aRobotique$$vCongrès.
001484443 650_6 $$aAutomatisation$$vCongrès.
001484443 650_0 $$aAutomatic control$$vCongresses.$$0(DLC)sh 85010089
001484443 650_0 $$aRobotics$$vCongresses.
001484443 650_0 $$aAutomation$$vCongresses.
001484443 655_0 $$aElectronic books.
001484443 655_7 $$aproceedings (reports)$$2aat
001484443 655_7 $$aConference papers and proceedings.$$2lcgft
001484443 655_7 $$aActes de congrès.$$2rvmgf
001484443 7001_ $$aGini, Giuseppina,$$eeditor.
001484443 7001_ $$aNijmeijer, H.$$q(Hendrik),$$d1955-$$eeditor.
001484443 7001_ $$aBurgard, Wolfram,$$eeditor.
001484443 7001_ $$aFilev, Dimitar P.,$$d1959-$$eeditor.
001484443 77608 $$iPrint version: $$z3031483022$$z9783031483028$$w(OCoLC)1402243554
001484443 830_0 $$aLecture notes in networks and systems ;$$v836.
001484443 852__ $$bebk
001484443 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-48303-5$$zOnline Access$$91397441.1
001484443 909CO $$ooai:library.usi.edu:1484443$$pGLOBAL_SET
001484443 980__ $$aBIB
001484443 980__ $$aEBOOK
001484443 982__ $$aEbook
001484443 983__ $$aOnline
001484443 994__ $$a92$$bISE