Artificial Intelligence - A.I.

Table of Contents

Robotics



Simply stated, Robots are the artificial agents acting in a real-world environment and Artificial intelligence (AI) is arguably the most interesting field in robotics. It's positively the most contentious: Everybody agrees that a robot can work in an assembly line, but there's no consensus on whether a robot can ever be considered intelligent or self-aware.

Both the terms “Robot” and “AI” are a bit hard to define outside context. Ultimate AI would be a recreation of the human thought process, a man-made device with our learned abilities. This would include the ability to learn just about anything, the ability to reason, the ability to use language and the ability to form original ideas. It can be said that we are nowhere near achieving this level of artificial intelligence, but we have made a lot of progress with more limited AI. Today's AI engines can replicate some specific elements of intellectual ability.

Computers can already solve problems in limited realms. The basic idea where AI algorithms are used in problem-solving is very simple, though its process can be very complicated. To begin with, the AI robot or computer collects facts about a site through sensors or human input. The computer compares this information to stored data and decides what the information means. The computer runs through various likely actions and predicts which action will be most successful based on the collected data. An obvious flaw in this would be that the computer can only solve problems it's programmed to solve.- it doesn't have any generalized analytical ability. A Chess AI would be a perfect example of this sort of machine.



Application of AI in Robotics:

In today’s economy, there are a few main ways in which AI is deployed.

Assembly

AI is a highly useful tool in robotic construction applications. When coupled with high-level vision systems, AI can help with real-time course change, which is particularly useful in complex production sectors like aerospace. AI can also be used to help a robot discover on its own which paths are best for certain processes while it’s in use.

Packaging

Robotic packaging uses forms of Artificial Intelligence regularly for faster, lower cost and more accurate packaging. An Artificial Intelligent algorithm would help save certain actions a robotic system makes, while continually refining them, which makes installing and moving robotic systems easy enough for anybody to do.

Customer Service

It’s no surprise to know that robots are now being used in a customer service role in retail stores and hotels around the world. Most of these robots hold AI natural language processing abilities to interact with customers in a more natural way. Often, the more these systems can communicate with humans, the more they learn.

Open Source Robotics

Some of the robotic systems are now being marketed as open-source systems with AI capability. This way, users can teach their robots to do custom tasks based on their specific applications, such as small-scale farming. The merging of open-source robotics and AI could be a huge bearing in the future of AI robots.

When working together, robots are more intelligent, more accurate and more effective. AI has yet to come close to attaining its full potential, but as it progresses, so will robotics.



References:

1. Formal theories of knowledge in AI and robotics by SJ Rosenschein 1985
2. H Kitano, M Asada, Y Kuniyoshi, I Noda - 1997: Robocup: A challenge problem for ai and robotics
3. D Blank, H Yanco, D Kumar, L Meeden - 2006: The Pyro toolkit for AI and robotics
4. WB Gevarter - 1985: Intelligent machines: an introductory perspective of artificial intelligence and robotics
5. University of Minnesota. (2011). Artificial Intelligence, Robotics, and Vision Laboratory. Available: http://airvl.cs.umn.edu/. Last accessed 28/10/2019.


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