A Multi-level Spatial Memory for Vision-based Mobile Robot Localisation

A Multi-level Spatial Memory for Vision-based Mobile Robot Localisation PDF Author: Simon Thompson
Publisher:
ISBN:
Category : Mobile robots
Languages : en
Pages : 371

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A Multi-level Spatial Memory for Vision-based Mobile Robot Localisation

A Multi-level Spatial Memory for Vision-based Mobile Robot Localisation PDF Author: Simon Thompson
Publisher:
ISBN:
Category : Mobile robots
Languages : en
Pages : 371

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Vision Based Mobile Robotics: mobile robot localization using vision sensors and active probabilistic approaches

Vision Based Mobile Robotics: mobile robot localization using vision sensors and active probabilistic approaches PDF Author: Emanuele Frontoni
Publisher: Lulu.com
ISBN: 147106977X
Category : Technology & Engineering
Languages : en
Pages : 157

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Book Description
The use of vision in mobile robotics in one of the main goal of this thesis. In particular novel appearance based approaches for image matching metric are introduced. These approaches are applied to the problem of mobile robot localization.Similarity measures between robot's views are used in probabilistic methods for robot pose estimation. In this field of probabilistic localization active approach are proposed allowing the robot to faster and better localize. All methods have been extensively tested using a real robot in an indoor environment.Note: the book is the publication of the PhD thesis discussed in Università Politecnica delle Marche, Ancona, Italy in 2006 by Emanuele Frontoni

Spatial Reasoning and Multi-Sensor Fusion

Spatial Reasoning and Multi-Sensor Fusion PDF Author: Avinash C. Kak
Publisher: Morgan Kaufmann
ISBN: 9780934613590
Category : Computers
Languages : en
Pages : 460

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Spatial Reasoning and Multi-Sensor Fusion

A Scene-based, Multi-level Representation for Mobile Robot Spatial Mapping and Navigation

A Scene-based, Multi-level Representation for Mobile Robot Spatial Mapping and Navigation PDF Author: University of Michigan. Dept. of Electrical Engineering and Computer Science. Computer Science and Engineering Division
Publisher:
ISBN:
Category :
Languages : en
Pages : 41

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Book Description
Two important components of our representation are visual scenes and gateways. Scenes are processed for visual cues that will help the robot distinguish different places. Gateways are transitions between different spaces in the environment. The robot's entire representation is grounded in the idea that gateways provide convenient points around which the robot can create both its network representation and its global, spatial representation. Significant portions of the representation have been implemented on a mobile robot operating in an indoor environment."

Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment

Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment PDF Author: Xiaochun Wang
Publisher: Springer
ISBN: 981139217X
Category : Technology & Engineering
Languages : en
Pages : 328

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Book Description
This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.

Vision-Based Robot Navigation

Vision-Based Robot Navigation PDF Author: Mateus Mendes
Publisher: Universal-Publishers
ISBN: 1612331041
Category : Technology & Engineering
Languages : en
Pages : 240

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Book Description
Starting with a summary of the history of Artificial Intelligence, this book makes the bridge to the modern debate on the definition of Intelligence and the path to building Intelligent Machines. Since the definition of Intelligence is itself subject to open debate, the quest for Intelligent machines is pursuing a moving target. Apparently, intelligent behaviour is, to a great extent, the result of using a sophisticated associative memory, more than the result of heavy processing. The book describes theories on how the brain works, associative memory models and how a particular model - the Sparse Distributed Memory (SDM) - can be used to navigate a robot based on visual memories. Other robot navigation methods are also comprehensively revised and compared to the method proposed. The performance of the SDM-based robot has been tested in different typical problems, such as illumination changes, occlusions and image noise, taking the SDM to the limits. The results are extensively discussed in the book.

Robot Navigation from Nature

Robot Navigation from Nature PDF Author: Michael John Milford
Publisher: Springer Science & Business Media
ISBN: 3540775196
Category : Technology & Engineering
Languages : en
Pages : 203

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Book Description
This pioneering book describes the development of a robot mapping and navigation system inspired by models of the neural mechanisms underlying spatial navigation in the rodent hippocampus. Computational models of animal navigation systems have traditionally had limited performance when implemented on robots. This is the first research to test existing models of rodent spatial mapping and navigation on robots in large, challenging, real world environments.

Mobile Robot Localization and Map Building

Mobile Robot Localization and Map Building PDF Author: Jose A. Castellanos
Publisher: Springer
ISBN: 9780792377894
Category : Technology & Engineering
Languages : en
Pages : 205

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Book Description
During the last decade, many researchers have dedicated their efforts to constructing revolutionary machines and to providing them with forms of artificial intelligence to perform some of the most hazardous, risky or monotonous tasks historically assigned to human beings. Among those machines, mobile robots are undoubtedly at the cutting edge of current research directions. A rough classification of mobile robots can be considered: on the one hand, mobile robots oriented to human-made indoor environments; on the other hand, mobile robots oriented to unstructured outdoor environments, which could include flying oriented robots, space-oriented robots and underwater robots. The most common motion mechanism for surface mobile robots is the wheel-based mechanism, adapted both to flat surfaces, found in human-made environments, and to rough terrain, found in outdoor environments. However, some researchers have reported successful developments with leg-based mobile robots capable of climbing up stairs, although they require further investigation. The research work presented here focuses on wheel-based mobile robots that navigate in human-made indoor environments. The main problems described throughout this book are: Representation and integration of uncertain geometric information by means of the Symmetries and Perturbations Model (SPmodel). This model combines the use of probability theory to represent the imprecision in the location of a geometric element, and the theory of symmetries to represent the partiality due to characteristics of each type of geometric element. A solution to the first location problem, that is, the computation of an estimation for the mobile robot location when the vehicle is completely lost in the environment. The problem is formulated as a search in an interpretation tree using efficient matching algorithms and geometric constraints to reduce the size of the solution space. The book proposes a new probabilistic framework adapted to the problem of simultaneous localization and map building for mobile robots: the Symmetries and Perturbations Map (SPmap). This framework has been experimentally validated by a complete experiment which profited from ground-truth to accurately validate the precision and the appropriateness of the approach. The book emphasizes the generality of the solutions proposed to the different problems and their independence with respect to the exteroceptive sensors mounted on the mobile robot. Theoretical results are complemented by real experiments, where the use of multisensor-based approaches is highlighted.

Robotics and Cognitive Approaches to Spatial Mapping

Robotics and Cognitive Approaches to Spatial Mapping PDF Author: Margaret E. Jefferies
Publisher: Springer Science & Business Media
ISBN: 3540753869
Category : Technology & Engineering
Languages : en
Pages : 657

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Book Description
This important work is an attempt to synthesize two areas that need to be treated in tandem. The book brings together the fields of robot spatial mapping and cognitive spatial mapping, which share some common core problems. One would expect some cross-fertilization of research between the two areas to have occurred, yet this has begun only recently. There are now signs that some synthesis is happening, so this work is a timely one for students and engineers in robotics.

Vision-based Features for Mobile Robot Localization

Vision-based Features for Mobile Robot Localization PDF Author: Hashem Tamimi
Publisher:
ISBN: 9783899633634
Category :
Languages : de
Pages : 142

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Book Description