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Future in robotics

Robotics is the study of robots. Robots are machines that can be used to do jobs. Some robots can do work by themselves. Other robots must always have a person telling them what to do. Robots can work under extreme environments where it’s dangerous or impossible for humans to go. Robotics requires a working knowledge of electronics, mechanics, and software and a person working in the field has become known as a roboticist. It deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing. These technologies are used to develop machines that can substitute for humans and replicate human actions. In the future, robots with artificial intelligence will help make life easier for all of us – doing our dull, dirty, difficult jobs, and tackling tasks we simply couldn’t do ourselves.

Some future applications of Robots:

  • Space – Orbit manufacture of replacement parts
  • Tools for aircraft
  • Robots under ice focuses on the use of autonomous submarines to determine ice hazard risks for shipping
  • Energy installations in the arctic.
  • Drones for inspection of offshore wind farms with the use of autonomous surface vessels, creating a system which will automatically deploy and recover the inspection drones.

Future Food

AI equipped machines will also play a big part in the future of agriculture, reducing food production costs and improving land use. In future, robots or drones will precisely remove weeds or target them with pesticide, helping reduce chemical use by up to 90%, while tiny sensors could monitor crop growth and alert farmers to problems, or let them know the best time to harvest. Getting food to consumers will be greener, cheaper and easier, with the help of driverless vehicles. Autonomous delivery systems to the home will make on-demand deliveries much more economically viable. And because people will only order what they need, when they need it, food waste and the excess packaging associated with bulk buying in supermarkets will be drastically reduced.

Smarter Energy

In the future, our energy will be generated as low-cost, renewable resources, built and maintained in remote locations by robotic systems. Autonomous scouts will work in teams, exploring the earth to harvest energy, finding sources of renewable energy and natural resources, as well as monitoring bio-diversity and climate. Robots are already being used to monitor the safety of oil and gas pipelines: smart robots carry out internal, in-service pipeline inspection. The use of aerial drones to monitor large and difficult to reach areas, helping overcome issues of restricted access. Robots could even clean up waste such as plastics from our oceans, and other pollutants.

Working Together

Robotics and AI helps to change many things for the better. But with robots replace so many of the tasks that were traditionally done by humans, it’s gradually decrease our jobs. It’s probably more helpful to think. While some jobs may gradually disappear, there will be opportunities for new career choices that we probably can’t even imagine now. When humans and AI powered systems work together, they are most effective – the group of people and machines, using human imagination, creativity and personality, but combined with the precision and accuracy, strength, reliability and automation of robotic systems, etc. will see humans get legal power to take on the tasks we do best. Technologies that simplify the control of robots from anywhere, will allow many more physical jobs to be carried out remotely, so that people can work much more flexible and comfortable conditions. The increased productivity of a workforce where human and machine skills are combined will help grow economies, and opportunities, worldwide.

9 Ways – Robotics Could Transform Our Future World:

Here we are discussing about the future of robotics in various streams.

1. Robotics in public security

Artificial Intelligence technology for predicting and detecting crime. By using drone footage will make that happen soon. In addition to that, identification of automatic recognition of suspicious activities based on camera -based security systems. This technology will help the society in a smart way. It allows law enforcement officials to act actions quickly when suspicious behavior has been spotted.

2. Robots in education

A single teacher can’t have the capacity to fulfill the needs for every single student in the classroom. Computer-based learning is already changing things from these ways. It’s not replacing the teacher, but it helps and supports students to learn their own. Personalized learning processes will increase the robots. NAO, the humanoid robot, is already forming bonds with students from around the world. It comes with important senses of natural interaction, including moving, listening, speaking, and connecting.

3. Robots at home

Internet connected home robots are already part of our lives. Multi-function robotic cookers are able to fry, steam, bake, slow cook, and perform any other action without our intervention. We just need to set them up. We expect to see speech comprehension and increased interactions with humans in the upcoming years. These developments may end up changing the entire look and feel of our homes!

4. Robots as colleagues

Robots will become capable of taking on multiple roles in an organization, so it’s time for us to think about how we interact with our new colleagues.

5. Robots might take our jobs

Whether we like it or not, robots have changed many people in their jobs. The jobs in office administration, logistics, and transport are also at risk of being replaced. In future, many occupations are at risk of being automated, including insurance underwriters, telemarketers, and tax-return preparers etc.

6. They create jobs

Technology is changing fast and it does have economic advices. Driverless cars, for instance, are highly likely to replace cab drivers in the future. In the near future AI will most likely replace tasks, not jobs. The good news is that It will create new markets and jobs. We might need additional education and re-training for those jobs, but the opportunities will be there.

7. Autonomous cars

Driverless cars still require some human intervention these days, but we’re getting closer to the day when they won’t. Google Car, Uber Taxi etc are examples of these type driverless cars as we seen.

8. Healthcare robots

Instead of visiting a clinic or physician, who will give us check-up with simple stethoscope, we’ll have intelligent robots to do the same task with more precision. They will interact with patients, check on their conditions, and evaluate the need for further appointments.

9. Robotics for entertainment

Robots are getting more personalized, interactive and engaging. With the growth of this industry, virtual reality will enter our homes in the near future. Conversations help us communicate with our home enthusiasts, who will respond to our efforts to communicate.

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Artificial Intelligence

Artificial intelligence (AI) is an area of computer science that gives importance to the creation of intelligent machines that work and reacts like humans. AI is the simulation of human intelligence processes by machines, using computer systems. These processes include the acquisition of information and rules for using the information, reasoning and self-correction. Some of the applications of AI include expert systems, speech recognition and machine vision.

Artificial Intelligence is one among the emerging technologies which tries to simulate human reasoning in AI systems. AI is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks the typically require human intelligence. AI is an inter-disciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.

AI can be categorized in two types, weak or strong. Weak AI is also known as narrow AI. Narrow AI is an AI system that is designed and trained for a particular task, for example, Virtual personal assistants, such as Apple’s Siri. Strong AI, also known as artificial general intelligence. Strong AI is an AI system with generalized human thinking abilities. A strong AI system is able to find a solution without human interaction. The hardware, software and staffing costs for AI can be expensive.

Popular AI cloud offerings include Amazon AI services, Google AI services, Microsoft Cognitive Services, IBM Watson Assistant etc.

While an AI tool launches new business operations, the use of artificial intelligence increases moral questions. It’s because deep learning algorithms of AI system, which corrupts many of the most advanced AI tools are only as smart as the data they are given in training. Artificial Intelligence will help people to understand that AI will simply improve products and services, not replace the humans that use them.

Types of artificial intelligence

Reactive machines:

“Deep Blue” is an example. Deep Blue makes IBM chess program that beat Garry Kasparov in the year 1997. Deep Blue can identify chessboard coins and make predictions, but it has no memory and cannot record the data’s. It analyzes possible moves like its own and its opponent and chooses the most strategic move. Instead of Deep Blue, Google’s AlphaGO both are designed for narrow purposes AI systems and cannot easily be applied to another situation.

Limited memory:

These can use in past experiences to inform future decisions. For example, self-driving cars. The observations from here are not stored permanently.

Theory of mind:

It allows others have their own beliefs, desires and intentions that impact the decisions they make. This kind of AI does not yet exist.

Self-awareness:

AI systems have consciousness. Machines with self-awareness understand their current state and can use the information to imagine what others are feeling. This type of AI does not yet exist. But, may come in future.

Applications of AI:

Machine Learning (ML):

The steps to reach that target are learned by the machine itself by training.

Natural Language Processing (NLP):

It’s defined as the automatic manipulation of natural language, like speech and text, by software. For example, email spam detection.

Vision:

Its uses as field which enables the machines to see. Machine vision captures and analyses visual information using a camera, analog-to-digital conversion, and digital signal processing. It can be compared to human eyesight. This can enable it to see through walls.

Robotics:

It is a field of engineering focused on the design and manufacturing of robots. Robots are often used to perform tasks that are difficult for humans to perform or perform consistently. For example, car assembly lines, in hospitals, office cleaner, serving foods, and preparing foods in hotels, patrolling farm areas and even as police officers. Machine learning has been used to achieve certain good results in building robots that interact socially. For example, “Sophia” Robot.

Autonomous Vehicles:

This area of AI needs a lot of attention. The list of vehicles includes cars, buses, trucks, trains, ships, submarines, and autopilot flying drones etc.