wio

 CONTENTS   SEARCH   HISTORY   HELP 



  Report: Slave and Expert Systems

Browse:
  Related Search:


 WORLD-INFOSTRUCTURE > SLAVE AND EXPERT SYSTEMS > 1940S - 1950S: THE DEVELOPMENT OF ...
  1940s - 1950s: The Development of Early Robotics Technology


During the 1940s and 1950s two major developments enabled the design of modern robots. Robotics generally is based on two related technologies: numerical control and teleoperators.

Numerical control was invented during the late 1940s and early 1950s. It is a method of controlling machine tool axes by means of numbers that have been coded on media. The first numerical control machine was presented in 1952 at the Massachusetts Institute of Technology (MIT), whose subsequent research led to the development of APT (Automatically Programmed Tools). APT, a language for programming machine tools, was designed for use in computer-assisted manufacturing (CAM).

First teleoperators were developed in the early 1940s. Teleoperators are mechanical manipulators which are controlled by a human from a remote location. In its typical application a human moves a mechanical arm and hand with its moves being duplicated at another location.




browse Report:
Slave and Expert Systems
    Introduction: The Substitution of Human Faculties with Technology: Early Tools
 ...
-3   1913: Henry Ford and the Assembly Line
-2   1940s - Early 1950s: First Generation Computers
-1   1950: The Turing Test
0   1940s - 1950s: The Development of Early Robotics Technology
+1   1950s: The Beginnings of Artificial Intelligence (AI) Research
+2   Late 1950s - Early 1960s: Second Generation Computers
+3   1961: Installation of the First Industrial Robot
     ...
1980s: Artificial Intelligence (AI) - From Lab to Life
 INDEX CARD     RESEARCH MATRIX 
Expert system
Expert systems are advanced computer programs that mimic the knowledge and reasoning capabilities of an expert in a particular discipline. Their creators strive to clone the expertise of one or several human specialists to develop a tool that can be used by the layman to solve difficult or ambiguous problems. Expert systems differ from conventional computer programs as they combine facts with rules that state relations between the facts to achieve a crude form of reasoning analogous to artificial intelligence. The three main elements of expert systems are: (1) an interface which allows interaction between the system and the user, (2) a database (also called the knowledge base) which consists of axioms and rules, and (3) the inference engine, a computer program that executes the inference-making process. The disadvantage of rule-based expert systems is that they cannot handle unanticipated events, as every condition that may be encountered must be described by a rule. They also remain limited to narrow problem domains such as troubleshooting malfunctioning equipment or medical image interpretation, but still have the advantage of being much lower in costs compared with paying an expert or a team of specialists.