Robot toy working with artificial intelligence technology

Artificial intelligence related project request keep flowing into our inbox right from the time we started the request form concept. This project here is about an Robot top that works with AI. So, we are trying to collect the best projects to list it for our visitors here. One such project is posted below a complete project PDF document attached with it, at the bottom. 

Here in this project the inventor Chang-bae has used one kind of joint motor to assemble and control the robot toy in various shapes. This toy is vary interesting and effective for our projects because, we students normally have that interest towards the robotics and robots that can change shapes. Adding more to this project details, here this probate includes a plurality of joint mechanism parts which are having ability to assemble and disassemble to various forms, it has a processor with one plurality joint mechanism, for the output part this control signal is connecting to another joint with pre-feed patterns and more such parts. 

The main objective of this project is to provide an AI, robotic toy and method of control that would vary the shape of the toy by requesting motions of the joints that are easily changeable and it also concentrates on reducing the number of parts used previously and reduce the time for changing the shape.

Download this complete project details in PDF: http://goo.gl/zrjFz

Our team which is working on collecting and creating very good engineering projects and papers for students who are interested in it are trying our best to bring out the best of data for you. Still as we are flooded with requests from many students. So our process is getting slow. Still if you feel you need help you can always contact us: http://engineering-request.blogspot.com/

Artificial Intelligence : paper presentation and project

Title: Human Artificial Intelligence Machine

Department: Computer science, Robotics, Artificial intelligence.

Can be used for: Paper presentations, Seminars, Artificial intelligence research and more.

This paper that is under topic of artificial intelligence is invented by the Mitchell Kwok. This paper presentation topic can also be used for the research and project purposes. This is one of the finest paper presentation for the students who are interested in the topic of robotic and artificial intelligence because of the method of dealing to the main topics. The paper basically defines the method of creating human artificial intelligence in machines and computer software is presented. This method will also help in using the human reasoning, though and behavior. The present invention serves as a universal artificial intelligence program  that can store, retrieve, predict the future and modify any data in a way similar to the human beings. 

Sample of the Artificial intelligence paper presentation : The present invention, also known as the human artificial intelligence program acts like a human brain because it stores, retrieve, and modify information similar to human beings. The function of the HAI program is to predict the future using data from memory. For example, human beings can answer questions because they can predict the future. They can anticipate what will eventually happen during an event based on events they learned in the past. The human artificial intelligence program comprises: an artificial intelligent computer program repeats itself in a single for-loop to receive information, calculate an optimal pathway from memory, and taking action; a 3-D storage area to store all data received by said artificial intelligent program; and a long-term memory used by said artificial intelligent program The main for-loop in said artificial intelligent program comprises the steps of: entering said for-loop; receiving input from the environment in a frame by frame format or movie sequence called the current pathway; using the image processor and other functions to generate an initial encapsulated tree for said current pathway, searching for said current pathway in memory and finding the closest matches; calculating the future pathway of the matches found in memory and determining the optimal pathway to follow; generating an optimal encapsulated tree for said current pathway; storing said current pathway in the optimal pathway and self-organizing said current pathway with the data in a computer storage area called memory; following the future pathway of the optimal pathway, exiting said for-loop; and repeating said for-loop from the beginning.

Download this Artificial intelligence 

paper presentation here: http://goo.gl/GkKgI

Computational Intelligence A Biological Approach to Artificial Neural Network

Abstract of this biometric paper-presentation:

Computational Intelligence is a branch of study of artificial Intelligence. CI is a set of machine capabilities which allowed a machine to use acquired knowledge and to solve new task efficiently in the presence of new condition of their performance. Neural network is a technique of artificial intelligence i.e., computational intelligence. It is on information processing paradigm that is inspired by the way biological nervous system, such as the brain, process information. A neural network is an interconnected group of biological neurons in modern uses that constituted of artificial neurons. In general a neural network is composed of groups or groups of physically connected or functionally associated neurons. A single neuron can be connected to many other neurons and the total number of neurons and connection in a network can be extremely large. Artificial neural network is a crude electronic model based on neural structure of the brain. The brain stores information as patterns utilizes these patterns and solves problems. This paper species that how the human brain learns? And also that defines the essential

Features of neurons and their interconnections. We then typically program a computer to simulate these features. In this paper we have shown theoretically neural network versus conventional computers. Neural networks are based as they are on a crude low level model of biological neural systems. In future, the development of this neurobiological modeling may lead to intelligent genuinely computers.

Paper presentations: Robotics Artificial Intelligence

Title: Artificial Intelligence - An Introduction to Robotics

Departments: Computer science, robotics, Artificial intelligence, electronics

Can be used: Paper presentations, study the basics of robots and artificial intelligence.

This is a paper presentation on basics of robotics and artificial intelligence. Both robotics and artificial intelligence is a booming topic in today's context. As science is developing in such a pace these technologies are holding the spotlight. all the young budding engineering students are also found to have big interest in these topics. So this paper presentation will be helpful for all those who are planning to start there robotics study. This paper will cover some basic topics of robots too. 

Sample of this artificial paper presentation:

Until now we only discussed the localization of a single object, but often one seeks to localize many objects. The classical example of this problem is robotic mapping.In the localization algorithms before we assumed that the robot knew the map of the environment a priori. But what if it does not? Then it has to generate such a map itself. Humans have already proven their mapping skills with maps of the whole planet. Now we will give a short introduction how robots can do the same.

This problem is often referred to as simultaneous localization and mapping (SLAM). The robot does not only construct a map, but it must do this without knowing where it is. A problem is that the robot may not know in advance how large the map is going to be.

The most widely used method for the SLAM problem is EKF. It is usually combined with landmark

sensing models and requires that the landmarks are distinguishable. Think of a map where you have several distinguishable landmarks of unknown location. The robot now starts to move and discovers more and more landmarks. The uncertainty about the location of the landmarks and itself increases with time.When the robot finds one landmark he already discovered earlier again the uncertainty of its position and of all landmarks decreases.

Download this paper presentation here: http://goo.gl/7DyXQ

Virtual reality Paper presentations

About this computer paper-presentations : (Virtual reality )                                                                   The term 'Virtual Reality' (VR) was initially coined by Jaron Lanier, founder of VPL Research (1989). Other related terms include 'Artificial Reality' (Myron Krueger, 1970s), 'Cyberspace' (William Gibson, 1984), and, more recently, 'Virtual Worlds' and 'Virtual Environments' (1990s). 

The relationship between our actions and their perceivable results is ruled by what we call the laws of nature. It is general understanding that our actions act upon real objects, which react according to the laws of nature, what then can be perceived. Virtual Reality Facilities (VRFs) simulate the action perception relationship in a physically correct manner but without involving real objects or real events. Just the same do mathematical models of nature (physical theories). So it stands to reason that VRFs can be considered as analog models of nature.

If a physical theory is false its predictions cannot be verified. If a VRF were false we would have strange and unusual perceptions as if different laws of nature would be valid. It is suggesting to say that we would fail to survive in nature when using a false mathematical as well as a false analog model. So, an analog model of nature can be useful even if it is not 'true'.

Virtual Reality is an enabling technology that has wide applications in training, product design, etc. Virtual reality (VR) technology is being used to resolve problems in real-world situations. The National Aeronautics and Space Administration (NASA) is using VR to train astronauts to repair the Hubble Space Telescope. In this talk, we present a brief introduction into Virtual Reality as a human centered interface technology.

Click here to download this paper presentation! 

Artificial intelligence (AI)- space!

Artificial intelligence (AI)

The term artificial intelligence (AI) is commonly taken to mean the study of thinking and perceiving as general information-processing functions— or the science of machine intelligence (MI).
In the past few decades, computer systems have been programmed to diagnose diseases; prove theorems; analyze electronic circuits; play complex games such as chess, poker and backgammon;
solve differential equations; assemble mechanical equipment using robotic manipulator arms and end effectors (the “hands” at the end of the manipulator arms); pilot uncrewed vehicles across
complex terrestrial terrain, as well as through the vast reaches of interplanetary space; analyze the structure of complex organic molecules; understand human speech patterns; and even write
other computer programs.

All of these computer-accomplished functions require a degree of intelligence similar to mental activities performed by the human brain. Someday, a general theory of intelligence may
emerge from the current efforts of scientists and engineers who are now engaged in the field of artificial intelligence. This general theory would help guide the design and development of even
smarter robot spacecraft and exploratory probes. Artificial intelligence generally includes a number of elements or subdisciplines. Some of the more significant of these elements or subdisciplines
are: planning and problem solving, perception, natural language, expert systems, automation, teleoperation and robotics, distributed data management, and cognition and learning.
All artificial intelligence involves elements of planning and problem solving. The problemsolving function implies a wide range of tasks, including decision making, optimization, dynamicresource
allocation, and many other calculations or logical operations. Perception is the process of obtaining data from one or more sensors and processing or analyzing
these data to assist in making some subsequent decision or taking some subsequent action. The basic problem in perception is to extract froma large amount of (remotely) sensed data some
feature or characteristic that then permits object

identification.
One of the most challenging problems in the evolution of the digital computer has been the communications that must occur between the human operator and the machine. The human
operator would like to use an everyday, or natural, language to gain access to the computer system. The process of communication between machines and people is very complex and frequently requires
sophisticated computer hardware and software. An expert system permits the scientific or technical expertise of a particular human being to be stored in a computer for subsequent use
by other human beings who have not had the equivalent professional or technical experience. Expert systems have been developed for use in such diverse fields as medical diagnosis, mineral
exploration, and mathematical problem solving. To create such an expert system, a team of software specialists will collaborate with a scientific expert to construct a computer-based interactive
dialogue system that is capable, at least to some extent, of making the expert’s professional knowledge and experience available to other individuals. In this case, the computer, or thinking machine,
not only stores the scientific (or professional) expertise of one human being, but also uses its artificial intelligence to permit ready access to this valuable knowledge base by other human users.
Automatic devices are those that operate without direct human control. NASA has used many such automated smart machines to explore alien worlds. For example, the Viking 1 and 2
lander spacecraft placed on the Martian surface in 1976 represent one of the great early triumphs of robotic space exploration. After separation from the Viking orbiter spacecraft, the lander (protected
by an aeroshell) descended into the thin Martian atmosphere at speeds of approximately 9,940 miles per hour (16,000 km per hour). The descending lander was slowed down by aerodynamic
drag until its aeroshell was discarded. Each robot lander spacecraft slowed down further by releasing a parachute and then achieved a gentle landing by automatically firing retrorockets.
Both Viking landers successfully accomplished the entire soft landing sequence automatically, without any direct human intervention or guidance. Teleoperation implies that a human operator
is in remote control of a mechanical system. Control signals can be sent by means of hardwire (if the device under control is nearby) or in a wireless mode via transmitted electromagnetic signals—for
example, laser or radio frequency—(if the robot system is some distance away and operates within ine-of-sight of the transmitter). NASA’s Pathfinder mission to the surface of Mars in 1997 successfully
demonstrated teleoperation of a mini-robot rover at interplanetary distances. The highly successful Mars Pathfinder mission consisted of astationary lander spacecraft and a small surface
rover. NASA named the lander spacecraft the Carl Sagan Memorial Station in honor of the American astronomer Carl Sagan (1934–96), who popularized astronomy and the search for extraterrestrial
life. The mini-rover was called Sojourner, after the American civil rights crusader Sojourner Truth. The six-wheeled mini-robot rover vehicle was actually controlled (or teleoperated) by the Earthbased
flight team at the Jet Propulsion Laboratory

(JPL) in Pasadena, California. The human operators used images of the Martian surface obtained by both the rover and the lander systems. These interplanetary teleoperations required that the
rover be capable of some semi-autonomous operation, since there was a time delay of signals that averaged between 10 and 15 minutes in duration depending upon the relative positions of Earth
and Mars over the course of the mission. This rover had a hazard avoidance system and surface movement was performed very slowly. Starting in 2004, NASA’s Mars Exploration
Rovers, Spirit and Opportunity, provided even more sophisticated and rewarding teleoperation experiences at interplanetary distances, as they rolled across different portions of the Red
Planet.


Of course, in dealing with the great distances in interplanetary exploration, a situation eventually arises in which electromagnetic wave transmission cannot accommodate any
type of effective “real-time control.” When the device to be controlled on an alien world is many light-minutes or even light-hours away, and when actions or discoveries require splitsecond
decisions, teleoperation must yield to increasing levels of autonomous, machineintelligence- dependent robotic operation. Robot devices are computer-controlled
mechanical systems that are capable of manipulating or controlling other machine devices, such as end effectors. Robots may be mobile or fixed in place and either fully automatic or
teleoperated. The more AI a robot has, the less dependent it is upon human supervision. Large quantities of data are frequently involved in the operation of automatic robotic
devices. The field of distributed data management is concerned with ways of organizing cooperation among independent, but mutually interacting, databases. Instead of transmitting
enormous quantities of data back to Earth, an advanced robot explorer will use AI to selectively sort and send only the most interesting data.
In AI, the concept of cognition and learning refers to the development of a level of machine intelligence that can deal with new facts, unexpected events, and even contradictory
information. Today’s smart machines handle new data by means of preprogrammed methods or logical steps. Tomorrow’s smarter machines will need the ability to learn, possibly
even to understand, as they encounter new situations and are forced to change their mode of operation.


Perhaps late in this century, as the field of artificial intelligence sufficiently matures, scientists can send fully automatic robot probes on interstellar voyages. Each interstellar probe
must be capable of independently searching a candidate star system for suitable extrasolar planets that might support extraterrestrial life.