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  • ASEMINAR REPORT ON
  • CONTENTS INTRODUCTION WHAT IS ROBOTICS? LAWS OF ROBOTS ARTIFICIAL INTELLIGENCE Acquiring Knowledge Knowledge Representation Goal Trees ROBOT APPLICATIONS Scientific Nuclear reactors Military Industrial Medical WORKING PERCEPTION Vision Speech recognition ACTION Navigation Manipulation ADVANTAGES DISADVANTAGES CONCLUSION
  • Introduction Any automatically operated machine that replaces human effort, though it may not resemble human beings in appearance or perform functions in a humanlike manner. The term is derived from the Czech word robota, meaning "forced labour" Modern use of the term stems from the play R.U.R., (Rossums Universal Robots) written in 1920 by the Czech author Karel Capek, which depicts society as having become dependent on mechanical workers called robots that are capable of doing any kind of mental or physical work. Robotics is science of designing building and application of robots. The aim of robotics is to design an efficient robot. Robot will become efficient if it can think for thinking robotics uses AI technology for manufacturing robots. Robotics and AI seem to be different branches of science. Robotics concerned with mechanical and electrical devices while AI is branch of computer science, which is concerned with ways of programming, and designing computers to simulate human intelligent thought robot is ordered to get target.
  • What is Robotics? The word "robot was coined by Karel Capek who wrote a play entitled "R.U.R." or "Rossums Universal Robots" back in 1921. The base for this word comes from the Czech word robotnik which means worker. In his play, machines modeled after humans had great power but without common human failings. In the end these machines were used for war and eventually turned against their human creators. But even before that the Greeks made movable statues that were the beginnings of what we would call robots. For the most part, the word "Robot" today means any man- made machine that can perform work or other actions normally performed by humans. What Do Robots Do? Most robots today are used in factories to build products such as cars and electronics. Others are used to explore underwater and even on other planets. What are Robots Made Of? Robots have 3 main components: Brain - usually a computer Actuators and mechanical parts - motors, pistons, grippers, wheels, gears Sensors - vision, sound, temperature, motion, light, touch, etc. With these three components, robots can interact and affect their environment to become useful.
  • Laws Of Robotics Popular science fiction writer Isaac Asimov created the Three Laws of Robotics: 1. A robot must not injure a human being or, through inaction, allow a human being to come to harm. 2. A robot must always obey orders given to it by a human being, except where it would conflict with the first law. 3. A robot must protect its own existence, except where it would conflict with the first or second law. Later, Asimov added this "Zeroth Law" A robot must not injure humanity or, through inaction, allow humanity to come to harm.
  • Artificial Intelligence Artificial intelligence is study of mental faculties (powers) through use of computational models. A fundamental principle of AI is what a brain does may be thought of at some level at kind of computation. The aim of AI is to create machine, which can think. What is meant by think is the capability of acquiring and applying knowledge. Acquired knowledge is done by through Vision Voice recognition Inferences Acquiring knowledge is represented in memory by using Predicated calculus techniques By bits, intrinsic (real or genuine) images, abstract view, object identification. To reach a goal we will use goal trees and plans. A goal tree describes a situation in which a goal can be satisfied by solving sub goals. There is more than one method available; an algorithm may have to try several before finding one that works. This brings about such problem. All possible ways that a problem can be solved constitutes a search space backtracking, planning and coordination. It is impossible to search all the search space as the search space increases exponentially with the possible ways. By using fundamental (primitive tasks) tasks only the goals is reached. There changes according to their domain of field concerned like home, scientific.
  • Applications Scientific applications. Nuclear reactors. Military-intelligent radars, intelligent agents. Industrial. Medical. Home.Working The working of robot is combination of perception and action. Perception involves interpreting sights, sounds, smell and touch. Action includes ability navigate through the world and manipulate objects. Cognition=knowing, perception Perception Physical Cognition World Action The above figure shows design for a complete autonomous robot. Most of AI is concerned only with cognition, the idea being that an intelligent program or developed we will simply add sensors and
  • effectors to them. A manufacturing of sensors and effectors involves electronically, mechanical work. The key difference between artificial intelligence and robotics is programs usually operate in computer-simulated worlds. Robots must operate physical world. As an example, concerned a move in chess. An AI program can search millions of nodes in game tree without ever having to sense or to touch anything to real world. A complete chess-playing robot, on the other hand must be capable of grasping pieces, visually interpreting board positions and carrying on a host of other actions.Perception Two important sensory channels for humans are vision and spoken language. It is through there two faculties that we gather almost all of the knowledge that drives our problem solving behaviors. Vision: Accurate machine vision opens of a new real of computer applications. Then applications include mobile robot navigation, complex manufacturing tasks, analysis of satellite images and medical image processing. Here, we investigate how we can transform raw camera images into useful information about the world. A video camera provides a computer with an image represented on a two-dimensional grid of intensity levels. We perform the given four operations on order of increasing complexity. 1. Signal. 2. Measurement analysis. 3. Pattern recognition. 4. Image understanding.
  • 1. Signal processing: Enhancing the image, either for human consumption or an inputto another program.2. Measurement analysis: For images containing a single object, determining the two-dimensional extent of the object depicted.3. Pattern recognition: For single-object images, classifying the object in a categorydrawn from a finite set of possibilities.4. Image under standing: For images containing many objects, locating the objects in theimage, classifying them and building a three-dimensional model of thescene.The problems in understanding an image are 2D image of 3D objects. An image in two-dimensional, while the world is three- dimensional.Some information is necessary loosen when an image is created. One image may contain several objects and some objects may partially overlap others. The value of a single pixel is affected by many different phenomena, including the color of the object, the source of the light, the angle and distance of the camera, the pollution in the air etc. It is hard to disentangle (set free) these effects.
  • By using low-level image features such as shadows and texture we can interpret the image. Having multiple images of the same of object can also be helpful for recovering 3D structure. Other image factors we might want to consider are shading, intensity, reflectance and color to interpret images.SHADOW VISION High-level knowledge is also important for interpreting, visual data. For ex: consider the object at the center of (fig*) while no low- level image features can sell as what the object is the objects surroundings provide us with top down expectations. These are critical to for interpreting visual scenes. 12 A13C 14 fig a. fig b.
  • Speech Recognition: Spoken language is a more natural form of communication inmany human computer interfaces.Design issues concerned with speech systems. Speaker dependence vs. speaker independence: - A speaker independent system can linker to any speaker and translate the sounds to written text. Speaker