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The idea of creating machines which can operate autonomously dates back to olden times, but the proper research into the implementation and potential uses of robots did not grow properly until the 20th century. Throughout history, it has been frequently assumed that on one-day robots will be able to imitate human behaviour and manage tasks in a human-like fashion. Today, robotics is one of the rapidly growing fields domestically, commercially, or militarily. Numerous robots are built to do jobs that are dangerous for mankind such as defusing bombs, finding survivors in unstable ruins, and exploring mines and shipwrecks
Artificial intelligence is the imitation of human intelligence organized by machines, especially computer systems. These processes include the acquisition of information and rules for using the information as well as using the rules to reach approximate or definite conclusions and self-correction. specific applications of AI include expert systems, speech recognition and machine vision. Some homo sapiens also consider AI to be a threat to humanity if it progresses further. Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment. Nowadays usage of AI techniques has become an essential part of the technology industry, helping to solve numerous advanced problems in computer science.
Robot dynamics explains the relationship between the forces that act on a robot mechanism and the accelerations produced by robots. Typically, the robotic mechanism is modelled as a rigid-body system, in which case, robot dynamics is the application of rigid-body dynamics to robots.
Artificial intelligence is the imitation of human intelligence organized by machines, especially computer systems. These processes include the acquisition of information and rules for using the information as well as using the rules to reach approximate or definite conclusions and self-correction. specific applications of AI include expert systems, speech recognition and machine vision. Some homo sapiens also consider AI to be a threat to humanity if it progresses further. Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment. Nowadays usage of AI techniques has become an essential part of the technology industry, helping to solve numerous advanced problems in computer science.
Internet of Things (IoT) is a concept that uses physical devices which are connected to the internet and can communicate with each other via exchange of data. The collected data could be processed intelligently to make the devices smarter.
Nuclear Robotics is an interdisciplinary wing that develops and deploys very advanced robots in hazardous environments to reduce the risk for mankind. Researchers complete a rigorous interdisciplinary curriculum to understand the requirements for deploying systems in the nuclear or other relevant domain. The UK has 4.9 million tonnes of legacy nuclear waste. Cleaning this up is the largest and most complex environmental remediation task in Europe. Much of this work must be carried out by robots because the materials are too hazardous for humans. However, the robotic solutions required just do not yet exist. The NCNR will be at the leading position for enhancing these technologies. Its researchers will lead the way in world-leading robotics and AI, and training the next generation of nuclear roboticists.
Human-robot interaction is the study of interactions between humans and robots. It is often referred to as HRI by researchers. Human-robot interaction is a multidisciplinary field with contributions from human-computer interaction, artificial intelligence, robotics, natural language understanding, design, and social sciences. Human-Robot Interaction (HRI) is an advanced stream that has been grabbing a lot of attention over the past few years due to the increase in availability of complex robots and people's exposure to such robots in their daily lives, e.g. as robotic toys or, to some extent, as household appliances (robotic vacuum cleaners or lawn movers). Nowadays robots have been used vastly for real-world applications such as robots in rehabilitation, eldercare, robot-assisted therapy and in educational applications. Due to the advancement in AI, the research is concentrating not only towards the safest physical interaction but also on a socially correct interaction, dependent on cultural criteria. The aim is to create an intuitive, and easy communication with the robot through speech, gestures, and facial expressions.
Nanorobotics is an upcoming advanced technology which enables to create robots at or near the scale of a nanometre. More specifically, nanorobotics refers to the nanotechnology engineering stream of designing and creating nanorobots, with devices ranging in size from 0.1–10 micrometres and constructed of nanoscale or molecular components. Nanobot, nanoid, nanite, nanomachine, or nanometer are some of the terms that can be used to describe such devices which are currently under research and development. Another definition of nanorobot is a robot that allows precise interactions with nanoscale objects or can manipulate with nanoscale resolution. Such devices are more related to microscopy or scanning probe microscopy, instead of the description of nanorobots as a molecular machine. Equipment such as an atomic force microscope can be understood as a nanorobot when made to perform nanomanipulation. For this viewpoint, macroscale robots are microrobots that can move with nanoscale precision.
With the rise of Deep Learning concepts that rely on neurons based models, researchers have been developing hardware chips which can directly implement neural network architecture. These chips are programmed to mimic the brain at the hardware level. Usually, in an ordinary chip, the data is required to be transferred between the central processing unit and storage blocks, which results in time overheads and energy consumption. In a neuromorphic chip, data is both compiled and stored in the chip in an analogue manner and can generate synapses when required, saving time and energy.
Basically, Robotic Vision involves a combination of camera hardware and computer algorithms to enable robots to sense and process visual data regarding the world. For instance, some systems have a 2D camera which detects an object for the robot to pick up. An example involving complexity is to use a 3D stereo camera to make a robot function to mount wheels onto a moving vehicle. Without Robotic Vision, a robot is essentially blind. This is not a problem for many robotic tasks, but for some applications, Robot Vision is useful or even essential. Robot Vision is also related to Machine Vision. The terms robot vision, as well as Machine vision, are closely related to Computer Vision. If we were talking about a family tree, Computer Vision could be seen as their "parent."This is one of the fascinating field of visual intelligence as well as machine learning. Visual intelligence enables a robot to “sense” and “recognize” the environment. It also enables a robot to “learn” from the memory of past experiences by extracting patterns in visual signals.
All accepted abstracts will be published in respective Allied Academies Journals.
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