Soda Robots

Author: Mike Zwahlen
Publisher: Blurb
ISBN: 9781366098719
Size: 33.46 MB
Format: PDF, Kindle
View: 2964
Tokyo is a fascinating city for many reasons, and to get to know every side of it would take years if not an entire lifetime. One detail that sticks out is the abundance of vending machines in the metropolis. On busy intersections, narrow backstreets, and anywhere in between, these tiny stores are selling cold and hot drinks - and many other items. It's a completely automated transaction of goods, free from all quintessential points of human interaction. But much like the 13 million human inhabitants of Tokyo, the robots all have found their own place in the Japanese capital. This book explores that relationship between machine and the city.

Robot Brains

Author: Pentti O. Haikonen
Publisher: John Wiley & Sons
ISBN: 9780470517864
Size: 30.11 MB
Format: PDF, Mobi
View: 949
Haikonen envisions autonomous robots that perceive and understand the world directly, acting in it in a natural human-like way without the need of programs and numerical representation of information. By developing higher-level cognitive functions through the power of artificial associative neuron architectures, the author approaches the issues of machine consciousness. Robot Brains expertly outlines a complete system approach to cognitive machines, offering practical design guidelines for the creation of non-numeric autonomous creative machines. It details topics such as component parts and realization principles, so that different pieces may be implemented in hardware or software. Real-world examples for designers and researchers are provided, including circuit and systems examples that few books on this topic give. In novel technical and practical detail, this book also considers: the limitations and remedies of traditional neural associators in creating true machine cognition; basic circuit assemblies cognitive neural architectures; how motors can be interfaced with the associative neural system in order for fluent motion to be achieved without numeric computations; memorization, imagination, planning and reasoning in the machine; the concept of machine emotions for motivation and value systems; an approach towards the use and understanding of natural language in robots. The methods presented in this book have important implications for computer vision, signal processing, speech recognition and other information technology fields. Systematic and thoroughly logical, it will appeal to practising engineers involved in the development and design of robots and cognitive machines, also researchers in Artificial Intelligence. Postgraduate students in computational neuroscience and robotics, and neuromorphic engineers will find it an exciting source of information.

Toward Learning Robots

Author: Walter Van de Velde
Publisher: MIT Press
ISBN: 9780262720175
Size: 16.49 MB
Format: PDF, ePub
View: 5585
The contributions in Toward Learning Robots address the question of how a robot canbe designed to acquire autonomously whatever it needs to realize adequate behavior in a complexenvironment.In-depth discussions of issues, techniques, and experiments in machine learning focus onimproving ease of programming and enhancing robustness in unpredictable and changing environments,given limitations of time and resources available to researchers. The authors show practicalprogress toward a useful set of abstractions and techniques to describe and automate various aspectsof learning in autonomous systems. The close interaction of such a system with the world revealsopportunities for new architectures and learning scenarios and for grounding symbolicrepresentations, though such thorny problems as noise, choice of language, abstraction level ofrepresentation, and operationality have to be faced head-on.Walter Van de Velde is ResearchAssistant in the Artificial Intelligence Laboratory of the Vrije Universiteit,Brussels,Belgium.Contents: Introduction: Toward Learning Robots. Learning Reliable ManipulationStrategies without Initial Physical Models. Learning by an Autonomous Agent in the Pushing Domain. ACost-Sensitive Machine Learning Method for the Approach and Recognize Task. A Robot Exploration andMapping Strategy Based on a Semantic Hierarchy of Spatial Representations. Understanding ObjectMotion: Recognition, Learning and Spatiotemporal Reasoning. Learning How to Plan. Robo-Soar: AnIntegration of External Interaction, Planning, and Learning Using Soar. Foundations of Learning inAutonomous Agents. Prior Knowledge and Autonomous Learning.

Designing Autonomous Agents

Author: Pattie Maes
Publisher: MIT Press
ISBN: 9780262631358
Size: 18.71 MB
Format: PDF, ePub, Mobi
View: 6003
Designing Autonomous Agents provides a summary and overview of the radically different architectures that have been developed over the past few years for organizing robots. These architectures have led to major breakthroughs that promise to revolutionize the study of autonomous agents and perhaps artificial intelligence in general.The new architectures emphasize more direct coupling of sensing to action, distributedness and decentralization, dynamic interaction with the environment, and intrinsic mechanisms to cope with limited resources and incomplete knowledge. The research discussed here encompasses such important ideas as emergent functionality, task-level decomposition, and reasoning methods such as analogical representations and visual operations that make the task of perception more realistic.Pattie Maes is Research Associate at the Artificial Intelligence Laboratory of the University of Brussels and Visiting Faculty Member at the Artificial Intelligence Laboratory at MIT.Contents: A Biological Perspective on Autonomous Agent Design, Randall D. Beer, Hillel J. Chiel, Leon S. Sterling. Elephants Don't Play Chess, Rodney A. Brooks. What Are Plans For? Philip E. Agre and David Chapman. Action and Planning in Embedded Agents, Leslie Pack Kaelbling and Stanley J. Rosenschein. Situated Agents Can Have Goals, Pattie Maes. Exploiting Analogical Representations, Luc Steels. Internalized Plans: A Representation for Action Resources, David W. Payton. Integrating Behavioral, Perceptual, and World Knowledge in Reactive Navigation, Ronald C. Arkin. Symbol Grounding via a Hybrid Architecture in an Autonomous Assembly System, Chris Malcolm and Tim Smithers. Animal Behavior as a Paradigm for Developing Robot Autonomy, Tracy L. Anderson and Max Donath.

Cambrian Intelligence

Author: Rodney Allen Brooks
Publisher: MIT Press
ISBN: 9780262522632
Size: 77.74 MB
Format: PDF, ePub
View: 7410
Until the mid-1980s, AI researchers assumed that an intelligent system doing high-level reasoning was necessary for the coupling of perception and action. In this traditional model, cognition mediates between perception and plans of action. Realizing that this core AI, as it was known, was illusory, Rodney A. Brooks turned the field of AI on its head by introducing the behavior-based approach to robotics. The cornerstone of behavior-based robotics is the realization that the coupling of perception and action gives rise to all the power of intelligence and that cognition is only in the eye of an observer. Behavior-based robotics has been the basis of successful applications in entertainment, service industries, agriculture, mining, and the home. It has given rise to both autonomous mobile robots and more recent humanoid robots such as Brooks' Cog. This book represents Brooks' initial formulation of and contributions to the development of the behavior-based approach to robotics. It presents all of the key philosophical and technical ideas that put this "bottom-up" approach at the forefront of current research in not only AI but all of cognitive science.

Inventions Robots Future

Author: Diane Sylvester
Publisher: Learning Works
ISBN: 9780881601084
Size: 59.31 MB
Format: PDF, ePub, Mobi
View: 5968
A textbook for gifted students in grades 4 through 8, designed to develop higher-level thinking skills.

Robot Programming

Author: Joe Jones
Publisher: McGraw Hill Professional
ISBN: 0071708502
Size: 19.95 MB
Format: PDF
View: 6749
* Teaches the concepts of behavior-based programming through text, programming examples, and a unique online simulator robot * Explains how to design new behaviors by manipulating old ones and adjusting programming * Does not assume reader familiarity with robotics or programming languages * Includes a section on designing your own behavior-based system from scratch

Mobile Robots Iv

Author: William J. Wolfe
Publisher: Society of Photo Optical
Size: 13.72 MB
Format: PDF, ePub
View: 2302