Titlebook: Machine Learning for Robotics Applications; Monica Bianchini,Milan Simic,Rabindra Nath Shaw Book 2021 The Editor(s) (if applicable) and Th

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Hospital Assistance Robots Control Strategy and Machine Learning Technology,hattering phenomenon. Those intelligent techniques are adaptive neuro fuzzy interference system (ANFIS) and neuro-sliding mode control scheme. Also, machine learning (ML) which is a part of artificial intelligence (AI) is also discussed here. This chapter mainly focusing on the idea of two-wheeled b

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Cyber Physical System Fraud Analysis by Mobile Robot, attributes that can be assessed by its on-board systems and cycles, we have assembled artificial intelligence (AI) and blockchain methodology for distinguishing cyber-attacks on Industry 4.0. In the propose work, fraud analysis is done. Cyber physical system by mobile robot for the identification o

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Digital Transformation in Smart Manufacturing with Industrial Robot Through Predictive Data Analysifacturing have been analyzed using deep learning models, and corresponding results have been discussed. At the end, the emerging things of research on predictive data analysis of a smart manufacturing system using deep learning are highlighted, and future trends and challenges associated with deep l

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Surveillance Robot in Cyber Intelligence for Vulnerability Detection,ities and threats related to automatic bot and administration robots, and thus, a scientific categorization that groups the dangers looked by clients and normal users when utilizing autonomous robots, recognizing privacy and security and well-being strings, is introduced. We additionally present the