Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Loading
Machine Learning and Robot Perception (Studies in Computational Intelligence)

Buy
This book presents some of the most recent research results in the area of machine learning and robot perception. The book contains eight chapters.

Relevant progress has been done, within the Robotics field, in mechanical systems, actuators, control and planning. This fact, allows a wide application of industrial robots, where manipulator arms, Cartesian robots, etc., widely outcomes human capacity. However, the achievement of a robust and reliable autonomous mobile robot, with ability to evolve and accomplish general tasks in unconstrained environments, is still far from accomplishment. This is due, mainly, because autonomous mobile robots suffer the limitations of nowadays perception systems. A robot has to perceive its environment in order to interact (move, find and manipulate objects, etc.) with it. Perception allows making an internal representation (model) of the environment, which has to be used for moving, avoiding collision, finding its position and its way to the target, and finding objects to manipulate them. Without a sufficient environment perception, the robot simply can’t make any secure displacement or interaction, even with extremely efficient motion or planning systems. The more unstructured an environment is, the most dependent the robot is on its sensorial system. The success of industrial robotics relies on rigidly controlled and planned environments, and a total control over robot’s position in every moment. But as the environment structure degree decreases, robot capacity gets limited.

Some kind of model environment has to be used to incorporate perceptions and taking control decisions. Historically, most mobile robots are based on a geometrical environment representation for navigation tasks. This facilitates path planning and reduces dependency on sensorial system, but forces to continuously monitor robot’s exact position, and needs precise environment modeling. The navigation problem is solved with odometryrelocalization, or with an external absolute localization system, but only in highly structured environments. Nevertheless, the human beings use a topological environment representation to achieve their amazing autonomous capacity. Here, environment is sparsely modeled by a series of identifiable objects or places and the spatial relations between them. Resultant models are suitable to be learned, instead of hard-coded. This is well suited for open and dynamic environments, but has a greater dependency on the perception system. Computer Vision is the most powerful and flexible sensor family available at the present moment. The combination of topological environment modeling and vision is the most promising selection for future autonomous robots. This implies the need for developing visual perception systems able to learn from the environment.
(HTML tags aren't allowed.)

Advanced J2EE Platform Development: Applying Integration Tier Patterns
Advanced J2EE Platform Development: Applying Integration Tier Patterns
A proven Java(TM)-based approach to standardizing and streamlining legacy migration

This book focuses on the key challenges developers face when using the Java 2 platform Enterprise Edition (J2EE) to encapsulate legacy applications for delivery in a multi-tier Internet environment. Leading Sun architects Torbjoern Dahlen and Thorbioern Fritzon...

Professional haXe and Neko
Professional haXe and Neko
Professional haXe and Neko

haXe is an exciting new programming language, as well as a compiler and a framework, that can be used to build web applications and write code aimed at multiple platforms on an array of operating systems. Neko is a fast, flexible, and reliable cross-platform virtual machine that allows for the...

Digital Performer 5 Power!
Digital Performer 5 Power!
Mark of the Unicorn’s Digital Performer began as a MIDI-only application (Performer) back in the mid-1980s. It was a great program that gave the Mac user an intuitive way to record, edit, and play back MIDI performances. During the mid-1990s, MOTU added digital audio capabilities to this already successful MIDI software application and took...

New Directions of Modern Cryptography
New Directions of Modern Cryptography

Modern cryptography has evolved dramatically since the 1970s. With the rise of new network architectures and services, the field encompasses much more than traditional communication where each side is of a single user. It also covers emerging communication where at least one side is of multiple users. New Directions of Modern...

Fuzzy-Like Multiple Objective Decision Making (Studies in Fuzziness and Soft Computing)
Fuzzy-Like Multiple Objective Decision Making (Studies in Fuzziness and Soft Computing)
Everyday people need to make decisions, and the decision makers usually face multiple, conflicting objectives and uncertain environments. The research about uncertain multi-objective decision making problems has been profolic. It mainly provides decision makers with the help to find optimal solutions for many objectives under...
.NET e-Business Architecture
.NET e-Business Architecture

This book is written for architects and developers preparing to design and build enterprise-scale e-business applications using Microsoft's Visual Studio.NET and .NET Framework. It will guide technical architects and software developers through the design and development of a fully-featured e-commerce application, the gasTIX online ticketing...

©2015 LearnIT (support@pdfchm.net) - Privacy Policy