Advances in Robotics and Automation
Lovotics, as a discipline, aims to elevate the Social Robotics and Human Robot Interaction towards affection and friendship between the robot and the human partner. The aim of the journal is to serve as a platform for researchers across the world to share their latest research, development and innovation in the field of Lovotics, for the benefit of the robotics community and with the vision to contribute for the betterment of the society. Robotics and Automation deals with manufacture and applications of robots and computer systems for their control, sensory feedback, and information technology to reduce the need for human work. The journal provides an Open Access platform to publish the latest contributions in the field of robotics, automation technologies, robotic surgery, intelligent robotics, mechatronics, and biomimetics novel and biologically-inspired robotics, modelling, identification and control of robotic systems, biomedical, rehabilitation and surgical robotics, exoskeletons, prosthetics and artificial organs, AI, neural networks and fuzzy logic in robotics etc. Editorial board members of the Robotics & Automation or outside experts review manuscripts; at least two independent reviewer’s approval followed by the editor is required for the acceptance of any citable manuscript. Advances in Robotics & Automation is an Open Access journal and aims to publish most complete and reliable source of information on the discoveries and current developments in the mode of original articles, review articles, case reports, short communications, etc. Review processing is performed by the editorial board members of Advances in Robotics & Automation or outside experts; at least two independent reviewers approval followed by editor approval is required for acceptance of any citable manuscript. Robotic Rehabilitation is a field of research described to understanding and augmenting rehabilitation through the application of robotic devices. Rehabilitation robotics includes development of robotic devices tailored for assisting different sensor motor functions. Neuro Robotics: Robotics Research, Industrial Robotics, Automation Industry, Automobile Engineering Journals, Electrical & Electronic Journals, Lovotics Journals, Mechanical Engineering Journals, Foundations and Trends in Machine Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Fuzzy Systems, Journal of the ACM. Neural Network is defined as Artificial intelligence technique that mimics the operation of the human brain, and comprises of densely interconnected computer processors working simultaneously. Replacing humans with robots in personal assistance tasks is one of the more prominent goals of Medical robotics. Intelligent Robotics are the robots that functions as an intelligent machine, that is, it can be programmed to take actions or make choices based on input fromsensors. The field of robotics may be more practically defined as the study, design and use of robot systems for manufacturing. Telerobotics is the area of robotics concerned with the control of semi-autonomous robots from a distance, chiefly using Wireless network or tethered connections. Swarm intelligence and robotics is another way to deal with the coordination of multi-robot frameworks which comprise of substantial quantities of for the most part basic physical robots.
Fighting Automation with Automation
Organizations and consumers alike have a growing expectation for instant access to personalized information and services through an increasingly complex array of interconnected devices and networks. The proliferation of online devices accessing personal and financial information, the adoption of virtualized and multi-cloud environments, and the growing connection of everything – from armies of IoT devices and critical infrastructure in cars, homes, offices, and industry, to the rise of smart cities – have combined to create new destructive opportunities for cybercriminals. So there is no reason why this same approach can’t be used by cybercriminals to automatically map networks, identify targets, determine device or system weaknesses, conduct virtual PEN testing, and then build and launch custom attacks using techniques such as fingerprinting and blueprinting. Current polymorphic malware has been using learning models to evade security controls for years, and can produce more than a million virus variations per day. One critical response to advancements in malware and cybercriminal technologies is the development of “Expert systems.” An expert system is a collection of integrated software and programmed devices that use artificial intelligence techniques to solve complex problems. In addition to integrating multi-cloud and mobile devices together under a common security protocol, unsegmented and unsecured networks also need to be actively monitored and secured at digital speeds. Which means that isolated security devices will need to be identified and replaced with those designed to operate as part of a more complex, integrated, and automated system. One of the biggest challenges will be the last mile of security – finding the will and the way to automate critical security hygiene functions, such as inventory management, patch and replace, hardening systems, and implementing two-factor authentication. The challenge is that complex, multi-cloud ecosystems and hyperconverged networks that span physical and virtual environments are making performing these basic security practices extremely difficult to achieve. Keep a running inventory of all devices connected to the network, analyze and determine device vulnerabilities, apply patches and updates to devices, flag devices for replacement, and automatically apply a security protocol or IPS policy to protect those vulnerable devices until an update or replacement is available. They also need to be able to isolate compromised devices to stop the spread of infection and initiate remediation. Device misconfiguration is another huge problem many organizations face. Expert systems need to be able to automatically review and update security and network devices, monitor their configurations, and make appropriate changes as the network environments they operate in continue to shift, all without human intervention. Automated systems also need to be able to rank devices based on levels of trust and indicators of compromise, and dynamically segment traffic, especially that coming from the growing number IoT devices. To meet the demands of these changes, security speed and volume will require automating security responses, applying intelligence, and developing and refining self-learning so that networks can effectively make autonomous decisions.