Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
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.)

The Mental Health Professional and the New Technologies: A Handbook for Practice Today
The Mental Health Professional and the New Technologies: A Handbook for Practice Today
Technology, used for both informational and telecommunication purposes, is becoming one of the most important factors in the future of health care delivery. One can see the oncoming change simply by surfing the Internet and looking at the proliferation of health-related Web sites. The 7 million Web sites uncovered by the Alta Vista search engine...
Instant Selenium Testing Tools Starter
Instant Selenium Testing Tools Starter

A short, fast, and focused guide to Selenium Testing tools that delivers immediate results

Overview

  • Learn something new in an Instant! A short, fast, focused guide delivering immediate results.
  • Learn to create web tests using Selenium Tools
  • Learn to use Page Object...
Serverless Architectures with AWS: Discover how you can migrate from traditional deployments to serverless architectures with AWS
Serverless Architectures with AWS: Discover how you can migrate from traditional deployments to serverless architectures with AWS

Don't waste your energy thinking about servers; use AWS to build enterprise-grade serverless applications.

Key Features

  • Learn how to quickly and easily go serverless
  • Explore AWS and Lambda: the first building blocks of serverless applications on AWS
  • ...

Using Event-B for Critical Device Software Systems
Using Event-B for Critical Device Software Systems

Defining a new development life-cycle methodology, together with a set of associated techniques and tools to develop highly critical systems using formal techniques, this book adopts a rigorous safety assessment approach explored via several layers (from requirements analysis to automatic source code generation).

This is assessed...

iPod + iTunes for Windows and Mac in a Snap (2nd Edition) (Sams Teach Yourself)
iPod + iTunes for Windows and Mac in a Snap (2nd Edition) (Sams Teach Yourself)
iPod enthusiasts, this book is for you. iPod + iTunes for Windows and Mac in a Snap, Second Edition has been updated to cover the latest version of iTunes and the entire family of iPods, including the new Nano, and podcast and video download features. Organized into a series of well-organized,...
Security Intelligence: A Practitioner's Guide to Solving Enterprise Security Challenges
Security Intelligence: A Practitioner's Guide to Solving Enterprise Security Challenges

Similar to unraveling a math word problem, Security Intelligence: A Practitioner's Guide to Solving Enterprise Security Challenges guides you through a deciphering process that translates each security goal into a set of security variables, substitutes each variable with a specific security technology domain, formulates the...

©2019 LearnIT (support@pdfchm.net) - Privacy Policy