Titlebook: Semantic Labeling of Places with Mobile Robots; Óscar Martínez Mozos Book 2010 Springer-Verlag Berlin Heidelberg 2010 cognition.learning.m

BRIEF

approaches. Secondly, the ability of managing such market shocks without compromising . requirements is a very important component for Islamic financial institutions (IFIs). The study collects its data by using the method of a case study to obtain in-depth knowledge from the Bank of England and IFI

MERIT

Book 2010e places in indoor environments. The categories are indicated by terms which represent the different regions in these environments. The objective of this work is to enable mobile robots to perceive the spatial divisions in indoor environments in a similar way as people do. This is an interesting ste

crockery

使尴尬

Óscar Martínez MozosFirsts book on semantic information about places using mobile robots.Interesting example of how to use machine learning techniques with mobile robots to solve new problems

Prognosis

parasite

https://doi.org/10.1007/978-3-642-11210-2cognition; learning; mobile robot; pattern recognition; robot; robotics; service robot

Retrieval

冥界三河

Semantic Labeling of Places with Mobile Robots978-3-642-11210-2Series ISSN 1610-7438 Series E-ISSN 1610-742X

Hot-Flash

Topological Map Extraction with Semantic Information,ented typical divisions of the environment such as corridors, rooms or doorways. This chapter will show how a robot can extract a topological map from the environment using the previous semantic labeling.

Proponent

Conceptual Spatial Representation of Indoor Environments, in human-like environments. These service robots have to interact with people having little or no formal training in robotics. In such situations, the communication and interaction between robots and humans become key issues for these systems.