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SmokeNav - Simultaneous Localization and Mapping in Reduced Visibility Scenarios

SmokeNav - Simultaneous Localization and Mapping in Reduced Visibility Scenarios PDF Author: João Pedro Machado dos Santos
Publisher: University of Coimbra
ISBN:
Category :
Languages : en
Pages : 88

Book Description
Simultaneous Localization and Mapping (SLAM) is one of the most widely researched topics in Robotics. It addresses building and maintaining maps within unknown environments, while the robot keeps the information about its location. It is a basic requirement for autonomous mobile robotic navigation in many scenarios, including military applications, search and rescue, environmental monitoring, etc. Although SLAM techniques have evolved considerably in the last years, there are many situations which are not easily handled, such as the case of smoky environments where commonly used range sensors for SLAM, like Laser Range Finders (LRF) and cameras, are highly disturbed by noise induced in the measurement process by particles of smoke. There is an evident lack of solutions to this issue in the literature. This work focuses on SLAM techniques for reduced visibility scenarios. The main objective of this work is to develop and validate a SLAM technique for those scenarios, using dissimilar range sensors and by evaluating their behavior in such conditions. To that end, a study of several laser-based 2D SLAM techniques available in Robot Operating System (ROS) is firstly conducted. All the tested approaches are evaluated and compared in 2D simulations as well as real world experiments using a mobile robot. Such analysis is fundamental to decide which technique to adopt according to the final application of the work. The developed technique uses the complementary characteristics between a LRF and an array of sonars in order to successfully map the aforementioned environments. In order to validate the developed technique , several experimental tests were conducted using a real scenario. It was verified that this approach is adequate to decrease the impact of smoke particles in the mapping task. However, due to hardware limitations, the resulting map is comprehensibly not outstanding, but much better than using a single range sensor modality. This work is part of the Cooperation between Human and rObotic teams in catastroPhic INcidents (CHOPIN) R&D project, which intends to develop a support system for small scale SaR missions in urban catastrophic scenarios by exploiting the human-robot symbiosis.

SmokeNav - Simultaneous Localization and Mapping in Reduced Visibility Scenarios

SmokeNav - Simultaneous Localization and Mapping in Reduced Visibility Scenarios PDF Author: João Pedro Machado dos Santos
Publisher: University of Coimbra
ISBN:
Category :
Languages : en
Pages : 88

Book Description
Simultaneous Localization and Mapping (SLAM) is one of the most widely researched topics in Robotics. It addresses building and maintaining maps within unknown environments, while the robot keeps the information about its location. It is a basic requirement for autonomous mobile robotic navigation in many scenarios, including military applications, search and rescue, environmental monitoring, etc. Although SLAM techniques have evolved considerably in the last years, there are many situations which are not easily handled, such as the case of smoky environments where commonly used range sensors for SLAM, like Laser Range Finders (LRF) and cameras, are highly disturbed by noise induced in the measurement process by particles of smoke. There is an evident lack of solutions to this issue in the literature. This work focuses on SLAM techniques for reduced visibility scenarios. The main objective of this work is to develop and validate a SLAM technique for those scenarios, using dissimilar range sensors and by evaluating their behavior in such conditions. To that end, a study of several laser-based 2D SLAM techniques available in Robot Operating System (ROS) is firstly conducted. All the tested approaches are evaluated and compared in 2D simulations as well as real world experiments using a mobile robot. Such analysis is fundamental to decide which technique to adopt according to the final application of the work. The developed technique uses the complementary characteristics between a LRF and an array of sonars in order to successfully map the aforementioned environments. In order to validate the developed technique , several experimental tests were conducted using a real scenario. It was verified that this approach is adequate to decrease the impact of smoke particles in the mapping task. However, due to hardware limitations, the resulting map is comprehensibly not outstanding, but much better than using a single range sensor modality. This work is part of the Cooperation between Human and rObotic teams in catastroPhic INcidents (CHOPIN) R&D project, which intends to develop a support system for small scale SaR missions in urban catastrophic scenarios by exploiting the human-robot symbiosis.

Robot Intelligence Technology and Applications 5

Robot Intelligence Technology and Applications 5 PDF Author: Jong-Hwan Kim
Publisher: Springer
ISBN: 3319784528
Category : Technology & Engineering
Languages : en
Pages : 563

Book Description
This book includes papers from the 5th International Conference on Robot Intelligence Technology and Applications held at KAIST, Daejeon, Korea on December 13–15, 2017. It covers the following areas: artificial intelligence, autonomous robot navigation, intelligent robot system design, intelligent sensing and control, and machine vision. The topics included in this book are deep learning, deep neural networks, image understanding, natural language processing, speech/voice/text recognition, reasoning & inference, sensor integration/fusion/perception, multisensor data fusion, navigation/SLAM/localization, distributed intelligent algorithms and techniques, ubiquitous computing, digital creatures, intelligent agents, computer vision, virtual/augmented reality, surveillance, pattern recognition, gesture recognition, fingerprint recognition, animation and virtual characters, and emerging applications. This book is a valuable resource for robotics scientists, computer scientists, artificial intelligence researchers and professionals in universities, research institutes and laboratories.

FastSLAM

FastSLAM PDF Author: Michael Montemerlo
Publisher: Springer
ISBN: 3540464026
Category : Technology & Engineering
Languages : en
Pages : 129

Book Description
This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.

Probabilistic Robotics

Probabilistic Robotics PDF Author: Sebastian Thrun
Publisher: MIT Press
ISBN: 0262201623
Category : Technology & Engineering
Languages : en
Pages : 668

Book Description
An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods

Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods PDF Author: Fernández-Madrigal, Juan-Antonio
Publisher: IGI Global
ISBN: 1466621052
Category : Technology & Engineering
Languages : en
Pages : 497

Book Description
As mobile robots become more common in general knowledge and practices, as opposed to simply in research labs, there is an increased need for the introduction and methods to Simultaneous Localization and Mapping (SLAM) and its techniques and concepts related to robotics. Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods investigates the complexities of the theory of probabilistic localization and mapping of mobile robots as well as providing the most current and concrete developments. This reference source aims to be useful for practitioners, graduate and postgraduate students, and active researchers alike.

Computational Intelligence and Decision Making

Computational Intelligence and Decision Making PDF Author: Ana Madureira
Publisher: Springer Science & Business Media
ISBN: 9400747225
Category : Technology & Engineering
Languages : en
Pages : 493

Book Description
This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences. The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution of Real and Artificial Life Forms, Intelligent Models and Control Systems, Knowledge and Learning Technologies, Web Semantics and Ontologies, Intelligent Tutoring Systems, Intelligent Power Systems, Self-Organized and Distributed Systems, Intelligent Manufacturing Systems and Affective Computing. The contributions have all been written by international experts, who provide current views on the topics discussed and present recent, original insights from their own experience in these fields.

Artificial Intelligence Safety and Security

Artificial Intelligence Safety and Security PDF Author: Roman V. Yampolskiy
Publisher: CRC Press
ISBN: 1351251368
Category : Computers
Languages : en
Pages : 597

Book Description
The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity, the debate continues as to what degree of independence such entities should have and how to make sure that they do not turn on us, its inventors. Numerous recent advancements in all aspects of research, development and deployment of intelligent systems are well publicized but safety and security issues related to AI are rarely addressed. This book is proposed to mitigate this fundamental problem. It is comprised of chapters from leading AI Safety researchers addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. The book is the first edited volume dedicated to addressing challenges of constructing safe and secure advanced machine intelligence. The chapters vary in length and technical content from broad interest opinion essays to highly formalized algorithmic approaches to specific problems. All chapters are self-contained and could be read in any order or skipped without a loss of comprehension.

Cooperative Robots and Sensor Networks

Cooperative Robots and Sensor Networks PDF Author: Anis Koubâa
Publisher: Springer
ISBN: 3642393012
Category : Technology & Engineering
Languages : en
Pages : 103

Book Description
Mobile robots and Wireless Sensor Networks (WSNs) have enabled great potentials and a large space for ubiquitous and pervasive applications. Robotics and WSNs have mostly been considered as separate research fields and little work has investigated the marriage between these two technologies. However, these two technologies share several features, enable common cyber-physical applications and provide complementary support to each other. The primary objective of book is to provide a reference for cutting-edge studies and research trends pertaining to robotics and sensor networks, and in particular for the coupling between them. The book consists of five chapters. The first chapter presents a cooperation strategy for teams of multiple autonomous vehicles to solve the rendezvous problem. The second chapter is motivated by the need to improve existing solutions that deal with connectivity prediction, and proposed a genetic machine learning approach for link-quality prediction. The third chapter presents an architecture for indoor navigation using an Android smartphone for guiding a variety of users, from sighted to the visually impaired, to their intended destination. In chapter four, the authors deal with accurate prediction modeling of ocean currents for underwater glider navigation. In chapter five, the authors discuss the challenges and limitations of RSS-based localization mechanisms and propose, EasyLoc, an autonomous and practical RSS-based localization technique that satisfies ease of deployment and implementation.

Cooperative Robots and Sensor Networks 2015

Cooperative Robots and Sensor Networks 2015 PDF Author: Anis Koubâa
Publisher: Springer
ISBN: 3319182994
Category : Technology & Engineering
Languages : en
Pages : 274

Book Description
This book compiles some of the latest research in cooperation between robots and sensor networks. Structured in twelve chapters, this book addresses fundamental, theoretical, implementation and experimentation issues. The chapters are organized into four parts namely multi-robots systems, data fusion and localization, security and dependability, and mobility.

Technological Innovation for Sustainability

Technological Innovation for Sustainability PDF Author: Luis M. Camarinha-Matos
Publisher: Springer Science & Business Media
ISBN: 364219169X
Category : Business & Economics
Languages : en
Pages : 606

Book Description
This book constitutes the refereed proceedings of the Second IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2011, held in Costa de Caparica, Portugal, in February 2011. The 67 revised full papers were carefully selected from numerous submissions. They cover a wide spectrum of topics ranging from collaborative enterprise networks to microelectronics. The papers are organized in topical sections on collaborative networks, service-oriented systems, computational intelligence, robotic systems, Petri nets, sensorial and perceptional systems, sensorial systems and decision, signal processing, fault-tolerant systems, control systems, energy systems, electrical machines, and electronics.