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.)

Chinese Lexicography: A History from 1046 BC to AD 1911
Chinese Lexicography: A History from 1046 BC to AD 1911

This comprehensive account of the history of Chinese lexicography is the first book on the subject to be published in English. It traces the development of Chinese lexicography over three millennia, from the Zhou Dynasty (1046 BC-256 BC) to the Qing Dynasty (1616-1911). Revealing how the emergence of lexicographical culture in ancient China...

Inductive Logic Programming: 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007
Inductive Logic Programming: 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007
This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Conference on Inductive Logic Programming, ILP 2007, held in Corvallis, OR, USA, in June 2007 in conjunction with ICML 2007, the International Conference on Machine Learning.

The 15 revised full papers and 11 revised short papers presented...

Hardcore Java
Hardcore Java

Studying a computer language is a career-long process. Many developers make the mistake of thinking that they have learned enough. They get caught in the corporate cycle of build-and-deploy and don't seek to expand their knowledge. However, we can hardly blame them for that.

For one, the...


Principles of Renal Physiology
Principles of Renal Physiology

A good knowledge of renal physiology is essential to the understanding of many disease states. The purpose of the book is to set out the principles of renal physiology and normal renal function. Now in its 30th year of continuous publication, this new edition offers a logical progression through renal physiology and pathophysiology. In...

iPad & iPhone Administrator's Guide: Enterprise Deployment Strategies and Security Solutions
iPad & iPhone Administrator's Guide: Enterprise Deployment Strategies and Security Solutions

Securely deploy iPads and iPhones on corporate networks

Seamlessly integrate iPads and iPhones into your company's IT systems using the detailed instructions contained in this practical book. iPad & iPhone Administrator's Guide shows you how to use iPads and iPhones as business devices and manage them tightly...

Biomechanical Modelling at the Molecular, Cellular and Tissue Levels (CISM International Centre for Mechanical Sciences)
Biomechanical Modelling at the Molecular, Cellular and Tissue Levels (CISM International Centre for Mechanical Sciences)
This volume consists of Lecture Notes based on lectures delivered at the Advanced School on "Biomechanical Modelling at the Molecular, Cellular and Tissue Levels" held at the International Centre for Mechanical Sciences (CISM) in Udine, Italy, in the period September 11-15, 2006. The course was presented by 6 lecturers, 2 from Europe, 3...
©2015 LearnIT (support@pdfchm.net) - Privacy Policy