Sensor Fusion and Decentralized Control in Autonomous Robotic Systems

Sensor Fusion and Decentralized Control in Autonomous Robotic Systems PDF Author: Paul S. Schenker
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 344

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Sensor Fusion and Decentralized Control in Autonomous Robotic Systems

Sensor Fusion and Decentralized Control in Autonomous Robotic Systems PDF Author: Paul S. Schenker
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 344

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Book Description


Sensor Fusion and Decentralized Control in Robotic Systems

Sensor Fusion and Decentralized Control in Robotic Systems PDF Author:
Publisher:
ISBN:
Category : Autonomous robots
Languages : en
Pages : 272

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Sensor Fusion and Decentralized Control in Robotic Systems II

Sensor Fusion and Decentralized Control in Robotic Systems II PDF Author: G. T. McKee
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 352

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Book Description
This work presents a series of papers examining various aspects of sensor fusion and decentralized control in robotic systems.

Sensor Fusion and Decentralized Control in Robotic Systems

Sensor Fusion and Decentralized Control in Robotic Systems PDF Author: Paul S. Schenker
Publisher:
ISBN: 9780819429841
Category : Technology & Engineering
Languages : en
Pages :

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Sensor Fusion and Decentralized Control in Robotic Systems III

Sensor Fusion and Decentralized Control in Robotic Systems III PDF Author: G. T. McKee
Publisher: Society of Photo Optical
ISBN: 9780819438614
Category : Technology & Engineering
Languages : en
Pages : 486

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Sensor Fusion and Decentralized Control in Robotic Systems IV

Sensor Fusion and Decentralized Control in Robotic Systems IV PDF Author: G. T. McKee
Publisher: Society of Photo Optical
ISBN: 9780819442994
Category : Technology & Engineering
Languages : en
Pages : 250

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Book Description


Autonomous Mobile Robots

Autonomous Mobile Robots PDF Author: Frank L. Lewis
Publisher: CRC Press
ISBN: 1351837117
Category : Technology & Engineering
Languages : en
Pages : 438

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Book Description
It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is seemingly unlimited. Roadmap to the Future Serving as the first comprehensive reference on this interdisciplinary technology, Autonomous Mobile Robots: Sensing, Control, Decision Making, and Applications authoritatively addresses the theoretical, technical, and practical aspects of the field. The book examines in detail the key components that form an autonomous mobile robot, from sensors and sensor fusion to modeling and control, map building and path planning, and decision making and autonomy, and to the final integration of these components for diversified applications. Trusted Guidance A duo of accomplished experts leads a team of renowned international researchers and professionals who provide detailed technical reviews and the latest solutions to a variety of important problems. They share hard-won insight into the practical implementation and integration issues involved in developing autonomous and open robotic systems, along with in-depth examples, current and future applications, and extensive illustrations. For anyone involved in researching, designing, or deploying autonomous robotic systems, Autonomous Mobile Robots is the perfect resource.

Distributed Autonomous Robotic Systems 4

Distributed Autonomous Robotic Systems 4 PDF Author: L.E. Parker
Publisher: Springer Science & Business Media
ISBN: 4431679197
Category : Technology & Engineering
Languages : en
Pages : 478

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Book Description
The Fifth International Symposium on Distributed Autonomous Robotic Systems (DARS 2000) dealt with new strategies to realize complex, modular, robust, and fault-tolerant robotic systems. Technologies, algorithms, and system architectures for distributed autonomous robotic systems were presented and discussed during the meeting. DARS 2000 was truly an international event, with participants represent ing eleven countries from Europe, Asia, and the Americas. All of the papers in this volume were presented at DARS 2000, and were selected on the basis of peer re views to ensure quality and relevance. These papers have the common goal of con tributing solutions to realize robust and intelligent multirobot systems. The topics of the symposium address a wide range of issues that are important in the development of decentralized robotic systems. These topics include architec tures, communication, biological inspirations, reconfigurable robots, localization, exploration and mapping, distributed sensing, multi robot motion coordination, tar get assignment and tracking, multirobot learning, and cooperative object transport. DARS clearly requires a broad area of interdisciplinary technologies related not only to robotics and computer engineering, but also to biology and psychology. The DARS symposium is the leading established conference on distributed au tonomous systems. The First, Second, and Third International Symposia on Distrib uted Autonomous Robotic Systems (DARS '92, DARS '94, and DARS '96) were held at the Institute of Physical and Chemical Research (RIKEN), Saitama, Japan.

Highly Redundant Sensing in Robotic Systems

Highly Redundant Sensing in Robotic Systems PDF Author: Julius T. Tou
Publisher: Springer Science & Business Media
ISBN: 3642840515
Category : Computers
Languages : en
Pages : 324

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Book Description
Design of intelligent robots is one of the most important endeavors in robotics research today. The key to intelligent robot design lies in sensory systems for robotic control and manipulation. In an unstructural environment, robotic sensing translates measurements and characteristics of the environment and working objects into useful information. A robotic system is usually equipped with a variety of sensors to perform redundant sensing and achieve data fusion. This book contains revised versions of papers presented at a NATO Advanced Research Workshop held in Florida in September 1989 within the activities of the NATO Special Programme on Sensory Systems for Robotic Control. The fundamental issues addressed in this volume were: - Theory and techniques, including knowledge-based systems, geometrical fusion, Boolean fusion, probabilistic fusion, feature-based fusion, error-estimation approach, and Markov process modeling. - General concepts, including microscopic redundancy at the sensory element level, macroscopic redundancy at the sensory system level, parallel redundancy, and standby redundancy. - Implementation and application, including robotic control, sensory technology, robotic assembly, robot fingers, sensory signal processing, sensory system integration, and PAPIA architecture. - Biological analogies, including neural nets, pattern recognition, low-level fusion, and motor learning.

Decentralized Estimation and Control for Multisensor Systems

Decentralized Estimation and Control for Multisensor Systems PDF Author: Arthur G.O. Mutambara
Publisher: Routledge
ISBN: 1351456504
Category : Technology & Engineering
Languages : en
Pages : 256

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Book Description
Decentralized Estimation and Control for Multisensor Systems explores the problem of developing scalable, decentralized estimation and control algorithms for linear and nonlinear multisensor systems. Such algorithms have extensive applications in modular robotics and complex or large scale systems, including the Mars Rover, the Mir station, and Space Shuttle Columbia. Most existing algorithms use some form of hierarchical or centralized structure for data gathering and processing. In contrast, in a fully decentralized system, all information is processed locally. A decentralized data fusion system includes a network of sensor nodes - each with its own processing facility, which together do not require any central processing or central communication facility. Only node-to-node communication and local system knowledge are permitted. Algorithms for decentralized data fusion systems based on the linear information filter have been developed, obtaining decentrally the same results as those in a conventional centralized data fusion system. However, these algorithms are limited, indicating that existing decentralized data fusion algorithms have limited scalability and are wasteful of communications and computation resources. Decentralized Estimation and Control for Multisensor Systems aims to remove current limitations in decentralized data fusion algorithms and to extend the decentralized principle to problems involving local control and actuation. The text discusses: Generalizing the linear Information filter to the problem of estimation for nonlinear systems Developing a decentralized form of the algorithm Solving the problem of fully connected topologies by using generalized model distribution where the nodal system involves only locally relevant states Reducing computational requirements by using smaller local model sizes Defining internodal communication Developing estima