Download or read book Sensor Fusion Methods Applied to a Mobile Robot written by William Walter Carter and published by . This book was released on 2006 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is difficult for computer-based controllers to deal with unexpected sensor failures. This thesis describes a way to use fuzzy logic and redundant sensors to deal with sensor failures. It describes the use of Fuzzy Logic to monitor the readings of two range finding sensors and a wheel tachometer to determine if one of the three sensors is failing and, if so, how to use the data from the other sensors to compensate.
Download or read book Sensor Fusion and Decentralized Control in Robotic Systems written by and published by . This book was released on 2001 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Fusion in Robotics Machine Intelligence written by Bozzano G Luisa and published by Academic Press. This book was released on 1992-10-12 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the techniques for modeling and integration of data provided by different sensors within robotics and knowledge sources within machine intelligence. Leaders in robotics and machine intelligence capture state-of-the-art technology in data sensor fusion and give a unified vision of the future of the field, presented from both the theoretical and practical angles.
Download or read book Sensor Fusion Techniques in Navigation Application for Mobile Robot written by Surachai Panich and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensor Fusion Techniques in Navigation Application for Mobile Robot.
Download or read book Multisensor Data Fusion written by David Hall and published by CRC Press. This book was released on 2001-06-20 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut
Download or read book Multi sensor IR Data Fusion for Mobile Robot Navigation Using Occupany Grid Method written by Carol Gal and published by . This book was released on 1994 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main topic of the thesis is the multi-sensor data fusion in the context of mobile robot navigation. The work presented has been part of a continuous research done in the field of mobile robots. In that respect, a mobile robot platform with an onboard manipulation capability has been developed as an experimental platform for a multi-sensor system for teleautonomous applications in an unstructured environment. Different types of sensors have been provided to gather information about the environment: infrared (IR) range finders, vision, tactile, position. While vision and tactile sensors were approached by other related work, this thesis is essentially aimed to solve the following problems: (1) Mobile robot navigation, in terms of electronic interface and computerized control with real-time range data acquisition for obstacle avoidance, using a GUI (Graphical User Interface); (2) Occupancy grid method implementation using Bayesian analysis for the case of an IR ranging sensor; (3) Unstructured environment mapping, in the context of multi-sensor data fusion of mobile robot views taken from different given positions; (4) Global map integration with other types of sensory information (vision).
Download or read book Autonomous Mobile Robots written by Frank L. Lewis and published by CRC Press. This book was released on 2018-10-03 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Sensor Fusion written by Ciza Thomas and published by BoD – Books on Demand. This book was released on 2011-06-13 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensor Fusion - Foundation and Applications comprehensively covers the foundation and applications of sensor fusion. This book provides some novel ideas, theories, and solutions related to the research areas in the field of sensor fusion. The book explores some of the latest practices and research works in the area of sensor fusion. The book contains chapters with different methods of sensor fusion for different engineering as well as non-engineering applications. Advanced applications of sensor fusion in the areas of mobile robots, automatic vehicles, airborne threats, agriculture, medical field and intrusion detection are covered in this book. Sufficient evidences and analyses have been provided in the chapter to show the effectiveness of sensor fusion in various applications. This book would serve as an invaluable reference for professionals involved in various applications of sensor fusion.
Download or read book Sensor Fusion and Decentralized Control in Autonomous Robotic Systems written by Paul S. Schenker and published by SPIE-International Society for Optical Engineering. This book was released on 1997 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Where am I Sensors and Methods for Autonomous Mobile Robot Positioning written by L. Feng and published by . This book was released on with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multi sensor IR Data Fusion for Mobile Robot Navigation Using Occupancy Grid Method written by Carol Gal and published by . This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main topic of the thesis is the multi-sensor data fusion in the context of mobile robot navigation. The work presented has been part of a continuous research done in the field of mobile robots. In that respect, a mobile robot platform with an onboard manipulation capability has been developed as an experimental platform for a multi-sensor system for teleautonomous applications in an unstructured environment. Different types of sensors have been provided to gather information about the environment: infrared (IR) range finders, vision, tactile, position. While vision and tactile sensors were approached by other related work, this thesis is essentially aimed to solve the following problems: (1) Mobile robot navigation, in terms of electronic interface and computerized control with real-time range data acquisition for obstacle avoidance, using a GUI (Graphical User Interface); (2) Occupancy grid method implementation using Bayesian analysis for the case of an IR ranging sensor; (3) Unstructured environment mapping, in the context of multi-sensor data fusion of mobile robot views taken from different given positions; (4) Global map integration with other types of sensory information (vision).
Download or read book Introduction to Mobile Robot Control written by Spyros G Tzafestas and published by Elsevier. This book was released on 2013-10-03 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Mobile Robot Control provides a complete and concise study of modeling, control, and navigation methods for wheeled non-holonomic and omnidirectional mobile robots and manipulators. The book begins with a study of mobile robot drives and corresponding kinematic and dynamic models, and discusses the sensors used in mobile robotics. It then examines a variety of model-based, model-free, and vision-based controllers with unified proof of their stabilization and tracking performance, also addressing the problems of path, motion, and task planning, along with localization and mapping topics. The book provides a host of experimental results, a conceptual overview of systemic and software mobile robot control architectures, and a tour of the use of wheeled mobile robots and manipulators in industry and society. Introduction to Mobile Robot Control is an essential reference, and is also a textbook suitable as a supplement for many university robotics courses. It is accessible to all and can be used as a reference for professionals and researchers in the mobile robotics field. Clearly and authoritatively presents mobile robot concepts Richly illustrated throughout with figures and examples Key concepts demonstrated with a host of experimental and simulation examples No prior knowledge of the subject is required; each chapter commences with an introduction and background
Download or read book An Architecture for Sensor Fusion in a Mobile Robot written by Steven A. Shafer and published by . This book was released on 1986 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper describes sensor fusion in the context of an autonomous mobile robot, the NAVLAB system, based on a commercial truck with computer controls and studded with cameras and other sensors. This paper describes the software architecture of the NAVLAB, consisting of two parts; a 'whiteboard' system called CODGER that is similar to a blackboard but supports parallelism in the knowledge source modules, and an organized collection of perceptual and navigational modules tied together by the CODGER database/communication system. The NAVLAB vehicle is a commercial truck modified by adding sensors, electronic controls, and on-board computers and power generators. It will be completely self-contained, requiring neither a cable tethering it to an off-board mainframe computer, nor an electronic telecommunications tether. Telecommunications gear is present for data recording and tele-operation, but is not required for computer control of the vehicle. The control systems of the vehicle include computer control of a hydraulic drive/braking system computer control of the steering wheel, and processors to monitor and control engine functions. A global system clock and a processor maintain a primitive vehicle position estimate based on dead reckoning. An inertial navigation system is also on-board. Keywords; CODGER (Communications Database with Geometric Reasoning).
Download or read book Sensor Fusion and Networked Robotics VIII written by Paul S. Schenker and published by . This book was released on 1995 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sensor Fusion Based Position Estimation for Mobile Robots written by Levente Tamás and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of sensors for the mobile robots is an essential part in the context of autonomous navigation. The data processing from various sensors individually contribute to the environment perception for the mobile robot. Once the heterogeneous data is available, the information gain can be further more extended by fusing the data from different sensors. This can be achieved with various estimation techniques, like Kalman filtering. The fused data is especially useful for the position estimation, localization or mapping. This book covers both the theoretical and the practical details of the perception, localization and mapping based on sensor fusion for autonomous mobile robots.
Download or read book Realtime Sensor Fusion and Map Building for a Mobile Robot written by Stefan Enderle and published by . This book was released on 1997 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sensor Fusion for Autonomous Mobile Robot Navigation written by Alfredo Chávez Plascencia and published by . This book was released on 2007 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt:
