LEADER 04471nam 22006975 450 001 9910742494103321 005 20230929132421.0 010 $a3-031-33826-X 024 7 $a10.1007/978-3-031-33826-7 035 $a(MiAaPQ)EBC30723325 035 $a(Au-PeEL)EBL30723325 035 $a(DE-He213)978-3-031-33826-7 035 $a(PPN)272267171 035 $a(CKB)28104053800041 035 $a(EXLCZ)9928104053800041 100 $a20230829d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a6th EAI International Conference on Robotic Sensor Networks /$fedited by Predrag S. Stanimirovi?, Yudong Zhang, Dunhui Xiao, Xinwei Cao 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (117 pages) 225 1 $aEAI/Springer Innovations in Communication and Computing,$x2522-8609 311 08$aPrint version: Stanimirovi?, Predrag S. 6th EAI International Conference on Robotic Sensor Networks Cham : Springer International Publishing AG,c2023 9783031338250 320 $aIncludes bibliographical references and index. 327 $aChapter 1. An Intelligent Learning System based on Robotino Mobile Robot Platform -- Chapter 2. A Neocognitron Based on Multi-Objective Optimization for Few-Shot Learning -- Chapter 3. Milk temperature control system of calf feeding robot based on fuzzy PID -- Chapter 4. Bluff: A Multi-Robot Dispersion based on Hybrid Reciprocal Velocity Obstacles to solve the Blind Man?s Buff problem -- Chapter 5. Factors Influencing the Adoption of Robo Advisory Services: A UnifiedTheory of Acceptance and Use of Technology (UTAUT) Model Approach -- Chapter 6. A multi-region feature extraction and fusion strategy based CNN-Attention network for facial expression recognition -- Chapter 7. Real Time Surgical Instrument Object Detection using Yolov7 -- Chapter 8. A Lightweight Blockchain Framework for Visual Homing and Navigation Robots. 330 $aThis book presents the proceedings of the 6th EAI International Conference on Robotics and Networks 2022 (ROSENET 2022). The conference explores the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, with the explosive number of networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference took place at Swansea University, Wales, Great Britain. Presents the proceedings from 6th EAI International Conference on Robotic Sensor Networks (ROSENET 2022); Features papers on topics ranging from robotics in medicine to robotics in rescue and surveillance; Includes perspectives from a multi-disciplinary selection of global researchers, academics, and professionals. 410 0$aEAI/Springer Innovations in Communication and Computing,$x2522-8609 606 $aTelecommunication 606 $aControl engineering 606 $aRobotics 606 $aAutomation 606 $aComputational intelligence 606 $aCooperating objects (Computer systems) 606 $aCommunications Engineering, Networks 606 $aControl, Robotics, Automation 606 $aComputational Intelligence 606 $aCyber-Physical Systems 615 0$aTelecommunication. 615 0$aControl engineering. 615 0$aRobotics. 615 0$aAutomation. 615 0$aComputational intelligence. 615 0$aCooperating objects (Computer systems). 615 14$aCommunications Engineering, Networks. 615 24$aControl, Robotics, Automation. 615 24$aComputational Intelligence. 615 24$aCyber-Physical Systems. 676 $a629.892 676 $a006.25 702 $aStanimirovic$b Predrag S. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910742494103321 996 $a6th EAI International Conference on Robotic Sensor Networks$93559149 997 $aUNINA