Showing papers on "Cognitive robotics published in 1989"

Fundamentals of Robotics Engineering

Abstract: I: An Overview of Robotics.- 1. Introduction.- 1.1 Brief History of Robotics.- 1.2 Working Definition of Robot.- 1.3 Growth of the Industry.- 1.4 Introduction to Robotics Engineering.- 2. Types of Robots.- 2.1 Classification by Degrees of Freedom.- 2.2 Classification by Robot Motion.- 2.3 Classification by Platform.- 2.4 Classification by Power Source.- 2.5 Classification by Intelligence.- 2.6 Classification by Application Area.- II: Robotic Technology.- 3. Introduction to Robot Mechanics.- 3.1 Robot Arm Kinematics.- 3.2 End-Effectors.- 3.3 Dynamic Considerations.- 3.4 Obstacle Avoidance.- 4. Robot Electronic Design.- 4.1 Robot Electronic Subsystems.- 4.2 Robot External Sensing Systems.- 4.3 Motor System Design.- 4.4 Servo System Design.- 4.5 Hall-Effect Technology.- 5. Robotic Sensors.- 5.1 Internal Sensors.- 5.2 External Sensors.- 5.3 Sensor Processing.- 6. Vision Systems.- 6.1 Human Vision Considerations.- 6.2 Machine Vision Approaches.- 6.3 Image Acquisition.- 6.4 Image Analysis.- 6.5 Summary of the State of the Art.- 6.6 Applications and Available Systems.- 6.7 Ranging Techniques.- 7. Ultrasonic Systems.- 7.1 Sonar Fundamentals.- 7.2 Theoretical Acoustics.- 7.3 Practical Considerations.- 7.4 Advanced Considerations.- 7.5 Ultrasonics in Bats.- 7.6 System Considerations.- 7.7 Applications.- 8. Mobile Robots.- 8.1 Approaches to Mobility.- 8.2 Design Considerations.- 8.3 Locomotion.- 8.4 Steering.- 8.5 Power and Stability.- 8.6 Intelligence.- 8.7 Error Considerations.- 8.8 Current Applications.- III: Computer Hardware and Software.- 9. Computers for Robots.- 9.1 History.- 9.2 Functions.- 9.3 Program Entry.- 9.4 Computer Hardware.- 9.5 Program Tasks.- 9.6 Robot Simulation.- 9.7 Work Cell Considerations.- 9.8 Other Hardware Considerations.- 10. Robot Languages.- 10.1 Early Languages.- 10.2 Current Languages.- 10.3 Language Command Review.- 10.4 Program Example.- 10.5 Language Approaches and Limitations.- 11. Robot Intelligence.- 11.1 Application of AI.- 11.2 Techniques.- 11.3 Vision System Research.- 11.4 AI Language.- 11.5 Applications.- IV: Robotic Applications.- 12. Robot Standards.- 12.1 Japan Industrial Robot Safety Standards.- 12.2 RIA Standards Program.- 12.3 Testing Standards.- 12.4 Other Standards Activity.- 12.5 Device Communication Standards.- 12.6 Network Standards.- 12.7 Safety.- 13. Applications Engineering.- 13.1 Systems Analysis.- 13.2 System Example.- 13.3 Work Cell Systems.- 13.4 Safety in the Plant.- 14. Application-Oriented Requirements.- 14.1 Application-Oriented Requirements.- 14.2 Clean-Room Environments.- 14.3 Mobile Robot Requirements.- V: Future Considerations.- 15. Trends in Robotic Systems.- 15.1 Current Research Projects.- 15.2 Surveys and Predictions.- 15.3 Technological Trends.- 15.4 Predictions.- 16. New Technology.- 16.1 Natural Language Processing.- 16.2 Speech Recognition.- 16.3 Walking Vehicles (legged Locomotion).- 16.4 Collision Avoidance.- 16.5 Neural Network Computing.- 17. New Application Areas.- 17.1 Tasks for Robots.- 17.2 Current Applications.- 17.3 Future Robotics Applications.- Appendix 1: Robotic Systems Manufacturers.- Appendix 2: Major University Robotics Laboratories.- Appendix 3: International Robotics Organizations.

Engineering Intelligent Undersea Vehicles

Abstract: : Artificial intelligence (AI) techniques have been applied to, and developed for, robotic vehicles. However, the AI approach has not produced a specific methodology for engineering robotic vehicles. Future vehicles need to be engineered with intelligence being an emergent property of their behavior. Producing mission specific behaviors, rather than 'intelligence' directly, is an alternative engineering goal worth consideration. For the rapid development of mission-specific vehicles, application-specific computer-aided engineering (CAE) tolls need to be developed. Given that robotics will be a regular component of the future, extensible engineering methods need to be developed for the design and implementation of deliverable mission-specific vehicles. A review and survey of topics related to this approach are given, and a new approach to engineering vehicles is recommended. Keywords: Teleoperation; Underwater vehicles; Telerobotics; Reprints.

Cognitive Collision Prediction & Path Planning Of Mobile Robots: A Qualitative Approach

Abstract: means of nonmonotonic temporal logic and qualitative reasoning techniques. In order t o meet the on l ine limitations, t h e method of discrete i terat ion is exploited t o produce t h e path without running the goal seeking algorithm again. The above techniques a r e implemented in a program. The paper demonstrates our approach through an example. 1. I N T R O D U C T I O N Collision prediction, coll ision avoidance and path planning problems can all be formulated in a similar way, they all begin with a given present state and some assertions on t h e goal in a defined scenario, and t h e robots a r e required t o predict t h e possible collision and decide upon the control t o achieve t h e goal o r subgoals satisfactorily. The abstract knowledge in all cases along with the spatiotemporal coordination remain the same. In t h e path planning case the concentration is on the spat ia l argument and in coll ision prediction avoidance t h e temporality is mainly concerned. Collision avoidance makes use of both. 1 1 . T h e p r o b l e m In ordcr t o sce what a r e the problems if one t r ies t o predict cvcnts in the ruturc and control them, suppose tha t the two dimensional scenario is composed of two mobile robots M I and M P with the preset goals G and G P respectively, approaching cach othcr , and the i r t ra jec tor ies intersect spat ia l ly as in Fig. 1. Each robot has a potent ia l behavior [14] in t h e lack of any o ther obstacle interrupting its t r a j e c t o r y (Fig.1-a). In case of collision only par t s of the potent ia l behavior un t i l the collision point is manifested and a f t e r tha t there is a new behavior which doesn't necessarily terminate t o the previously set goal (Fig.1-b).