001436024 000__ 04890cam\a2200565\i\4500 001436024 001__ 1436024 001436024 003__ OCoLC 001436024 005__ 20230309004005.0 001436024 006__ m\\\\\o\\d\\\\\\\\ 001436024 007__ cr\cn\nnnunnun 001436024 008__ 210427s2021\\\\si\a\\\\o\\\\\000\0\eng\d 001436024 019__ $$a1249013070$$a1249270139 001436024 020__ $$a9789811605987$$q(electronic bk.) 001436024 020__ $$a981160598X$$q(electronic bk.) 001436024 020__ $$z9789811605970$$q(print) 001436024 020__ $$z9811605971 001436024 0247_ $$a10.1007/978-981-16-0598-7$$2doi 001436024 035__ $$aSP(OCoLC)1247847113 001436024 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO$$dYDX$$dEBLCP$$dOCLCF$$dOCLCO$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001436024 049__ $$aISEA 001436024 050_4 $$aQ325.5 001436024 08204 $$a006.3/1$$223 001436024 24500 $$aMachine learning for robotics applications /$$cMonica Bianchini, Milan Simic, Ankush Ghosh, Rabindra Nath Shaw, editors. 001436024 264_1 $$aSingapore :$$bSpringer,$$c[2021] 001436024 300__ $$a1 online resource (xii, 168 pages) :$$billustrations (some color) 001436024 336__ $$atext$$btxt$$2rdacontent 001436024 337__ $$acomputer$$bc$$2rdamedia 001436024 338__ $$aonline resource$$bcr$$2rdacarrier 001436024 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 960 001436024 5050_ $$aChapter 1. Manipulation of Standard Link Mechanism for Robotic Application using Artificial Neural Network and PID -- Chapter 2. Machine learning-enabled Human Activity Recognition System for Humanoid robot -- Chapter 3. Hospital Assistance Robots-Control Strategy and Machine Learning Technology -- Chapter 4. Cyber Physical System Fraud Analysis by Mobile Robot -- Chapter 5. Design and Development of an Intelligent Robot for Improving Crop Productivity using Machine Learning -- Chapter 6. Integration of Wireless Sensor Network in Robotics -- Chapter 7. Industry 4.0 and Robotics Automation-New Trends in Cyber Security -- Chapter 8. Digital Transformation in Smart Manufacturing with Industrial Robot through Predictive Data Analysis -- Chapter 9. Surveillance Robot in Cyber Intelligence for Vulnerability Detection -- Chapter 10. Framework and Smart Contract for Blockchain Enabled Certificate verification Sys-tem using Robotics. 001436024 506__ $$aAccess limited to authorized users. 001436024 520__ $$aMachine learning has become one of the most prevalent topics in recent years. The application of machine learning we see today is a tip of the iceberg. The machine learning revolution has just started to roll out. It is becoming an integral part of all modern electronic devices. Applications in automation areas like automotive, security and surveillance, augmented reality, smart home, retail automation and healthcare are few of them. Robotics is also rising to dominate the automated world. The future applications of machine learning in the robotics area are still undiscovered to the common readers. We are, therefore, putting an effort to write this edited book on the future applications of machine learning on robotics where several applications have been included in separate chapters. The content of the book is technical. It has been tried to cover all possible application areas of Robotics using machine learning. This book will provide the future vision on the unexplored areas of applications of Robotics using machine learning. The ideas to be presented in this book are backed up by original research results. The chapter provided here in-depth look with all necessary theory and mathematical calculations. It will be perfect for laymen and developers as it will combine both advanced and introductory material to form an argument for what machine learning could achieve in the future. It will provide a vision on future areas of application and their approach in detail. Therefore, this book will be immensely beneficial for the academicians, researchers and industry project managers to develop their new project and thereby beneficial for mankind. Original research and review works with model and build Robotics applications using Machine learning are included as chapters in this book. 001436024 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 27, 2021). 001436024 650_0 $$aMachine learning. 001436024 650_0 $$aRobotics. 001436024 650_6 $$aApprentissage automatique. 001436024 650_6 $$aRobotique. 001436024 655_0 $$aElectronic books. 001436024 7001_ $$aBianchini, Monica,$$eeditor. 001436024 7001_ $$aSimic, Milan,$$eeditor. 001436024 7001_ $$aGhosh, Ankush,$$eeditor. 001436024 7001_ $$aShaw, Rabindra Nath,$$eeditor. 001436024 77608 $$iPrint version:$$tMachine learning for robotics applications.$$dSingapore : Springer, [2021]$$z9811605971$$z9789811605970$$w(OCoLC)1235415759 001436024 830_0 $$aStudies in computational intelligence ;$$vv. 960.$$x1860-949X 001436024 852__ $$bebk 001436024 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-0598-7$$zOnline Access$$91397441.1 001436024 909CO $$ooai:library.usi.edu:1436024$$pGLOBAL_SET 001436024 980__ $$aBIB 001436024 980__ $$aEBOOK 001436024 982__ $$aEbook 001436024 983__ $$aOnline 001436024 994__ $$a92$$bISE