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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Swagatam Biswas,Monica Bianchini,Rabindra Nath Shaw,Ankush Ghoshtion at the top.Presents freedom, equal opportunity and a fu?This open access book aims to show which factors have been decisive in the rise of successful countries. Never before have so many people been so well off. However, prosperity is not a law of nature; it has to be worked for. A liberal econ

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Manipulation of Standard Link Mechanism for Robotic Application Using Artificial Neural Network andinverse kinematics has been implemented on PUMA560 robot having six degrees of freedoms using suitable artificial neural network (ANN) technique. Further, types of forces involved for robotic manipulation are inertia loading, the coupling between joints and gravity effects consisting of position and

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Hospital Assistance Robots Control Strategy and Machine Learning Technology,everyone. High safety considerations have to be established everywhere, and in case of hospitals, it is necessary. In order to control a robot, we have to go deep into its control strategies. Control strategy is the major section of robot that makes a robot self-stabilized and helps to control its p

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Design and Development of an Intelligent Robot for Improving Crop Productivity Using Machine Learnihelter and vesture. AI and machine learning have grabbed their place in many fields, one of those is agriculture. Using the prediction techniques and intelligence, AI and machine learning have contributed a lot in the agricultural domain. In this chapter, we are focusing on an agrobot that analyses

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Integration of Wireless Sensor Network in Robotics,e of applications of robot such as automobile industry, manufacturing industry, medical science and smart factory. In Industry 4.0, wireless sensor network should be the promising technology which is being proposed into the manufacturing industry. In smart factory, robotic system plays an important

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Digital Transformation in Smart Manufacturing with Industrial Robot Through Predictive Data Analysihe wide range of sensor transmissions and Internet of things, there is a growing need to manage large-scale production data characterized by high velocity, high variability, and high volume for industrial robots. In-depth learning provides advanced analytics tools for processing and analyzing large

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Surveillance Robot in Cyber Intelligence for Vulnerability Detection, The weak design and malfunction of firmware and software of robotic application can open the doors for cyber vulnerabilities like ransomware and DoS attack. The robotic framework has been distinguished and implemented into heterogeneous domains including military applications, home automation, IoT-