LEADER 04322nam 22006375 450 001 9910996493603321 005 20250413023525.0 010 $a3-031-78501-0 024 7 $a10.1007/978-3-031-78501-6 035 $a(CKB)38428957100041 035 $a(DE-He213)978-3-031-78501-6 035 $a(MiAaPQ)EBC32007540 035 $a(Au-PeEL)EBL32007540 035 $a(EXLCZ)9938428957100041 100 $a20250413d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Teleoperation and Robot Learning for Dexterous Manipulation /$fby Chenguang Yang, Zhenyu Lu, Ning Wang 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XIV, 200 p. 108 illus., 105 illus. in color.) 225 1 $aSpringer Tracts in Advanced Robotics,$x1610-742X ;$v160 311 08$a3-031-78500-2 327 $aPart I: Single-Leader-Dual-Follower Teleoperation for Cooperative Manipulation -- Motion Regulation Solutions for Holding and Moving Objects in Single-Leader-Dual-Follower Teleoperation -- Single-Leader-Dual-Follower Cooperative Manipulation of Deformable Objects -- Part II: Integrated Autonomous Learning and Control Framework -- A Small Opening Workspace Control Strategy for Redundant Manipulator Based on Remote Center of Movement Method -- Motor Learning and Generalization using Broad Learning Adaptive Neural Control -- Hybrid Learning and Control using Improved Dynamical Movement Primitive and Adaptive Neural Network Control -- Part III: Bio-inspired Autonomous Learning for Dexterous Manipulations -- A Constrained DMP Framework for Robot Skills Learning and Generalization from Human Demonstrations- Incremental Motor Skill Learning and Generalization From Human Dynamic Reactions Based on Dynamic Movement Primitive and Fuzzy Logic System -- Motor Learning and Generalization using Broad Learning Adaptive Neural Control. 330 $aThis book offers an in-depth exploration of the interdisciplinary field of dexterous robotic manipulation, focusing on advanced methods that enable robots to autonomously learn, adapt, and perform a variety of tasks. It covers key topics such as teleoperation systems, advanced control frameworks, and bio-inspired autonomous learning. The book stands out by providing a comprehensive examination of both the technical and theoretical aspects of dexterous manipulation, with a particular emphasis on integrating advanced control and autonomous learning. The book is primarily aimed at researchers, engineers, and graduate students in the fields of robotics, artificial intelligence, and control systems. It is particularly useful for those interested in robotic manipulation, autonomous learning, and bio-inspired systems. The detailed technical explanations and cutting-edge research make it an essential resource for professionals seeking to push the boundaries of robotic dexterous manipulation. The book?s practical applications make it relevant for many real-world manipulation scenarios, including healthcare and manufacturing. 410 0$aSpringer Tracts in Advanced Robotics,$x1610-742X ;$v160 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aComputational intelligence 606 $aControl, Robotics, Automation 606 $aRobotics 606 $aControl and Systems Theory 606 $aComputational Intelligence 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aComputational intelligence. 615 14$aControl, Robotics, Automation. 615 24$aRobotics. 615 24$aControl and Systems Theory. 615 24$aComputational Intelligence. 676 $a629.8 700 $aYang$b Chenguang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0868683 702 $aLu?$b Zhenyu$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWang$b Ning$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910996493603321 996 $aAdvanced Teleoperation and Robot Learning for Dexterous Manipulation$94374606 997 $aUNINA