Download or read book Associative Models for Sensor Fusion in Adaptive Sensor Based Industrial Robots written by Ole Pedersen and published by . This book was released on 1991 with total page 20 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 Adaptive Control for Robotic Manipulators written by Dan Zhang and published by CRC Press. This book was released on 2017-02-03 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: The robotic mechanism and its controller make a complete system. As the robotic mechanism is reconfigured, the control system has to be adapted accordingly. The need for the reconfiguration usually arises from the changing functional requirements. This book will focus on the adaptive control of robotic manipulators to address the changed conditions. The aim of the book is to summarise and introduce the state-of-the-art technologies in the field of adaptive control of robotic manipulators in order to improve the methodologies on the adaptive control of robotic manipulators. Advances made in the past decades are described in the book, including adaptive control theories and design, and application of adaptive control to robotic manipulators.

Download or read book Sensor Fusion and Decentralized Control in Robotic Systems written by and published by . This book was released on 1998 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sensor Fusion and Decentralized Control in Robotic Systems IV written by G. T. McKee and published by Society of Photo Optical. This book was released on 2001 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 Modelling and Control for Intelligent Industrial Systems written by Gerasimos Rigatos and published by Springer Science & Business Media. This book was released on 2011-02-02 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for the prevention of critical situations in industrial work-cells and production plants, of optimization methods aiming at a more profitable functioning of industrial installations and robotic devices and of machine intelligence methods aiming at reducing human intervention in industrial systems operation. To this end, the book analyzes and extends some main directions of research in modeling and control for industrial systems. These are: (i) industrial robots, (ii) mobile robots and autonomous vehicles, (iii) adaptive and robust control of electromechanical systems, (iv) filtering and stochastic estimation for multisensor fusion and sensorless control of industrial systems (iv) fault detection and isolation in robotic and industrial systems, (v) optimization in industrial automation and robotic systems design, and (vi) machine intelligence for robots autonomy. The book will be a useful companion to engineers and researchers since it covers a wide spectrum of problems in the area of industrial systems. Moreover, the book is addressed to undergraduate and post-graduate students, as an upper-level course supplement of automatic control and robotics courses.

Download or read book Sensor Fusion Schemes for Perception based Task Planning of Planetary Robotic Systems written by Arshad Wahid Noor and published by . This book was released on 2005 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multimodal Sensor Data Fusion Methods for Infrastructureless Head worn Interfaces written by Lukas Wöhle and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-robot collaboration is becoming increasingly important especially in the context of rehabilitation robotics where people use robots to regain autonomy. For this purpose, a variety of approaches to control these systems has been developed. A highly intuitive approach is head-motion based control, which enables precise mapping of 3D control commands onto a system via deliberate head movements. This thesis presents a system to ensure the necessary robustness and adaptivity for the control of a robotic system by means of head motion. For that purpose, a lightweight, infrastructureless sensor system was developed that can be worn on the head to fully control a robotic system in all degrees of freedom in Cartesian space. The system is modular in design and data fusion scheme to grant as much adaptivity as possible. The core of the sensor system consists of a Magnetic, Angular Rate, and Gravity (MARG) sensors, which are used to determine the orientation of an object in 3D space. The orientation computation is based on the numerical integration of angular rate measurements from a three-axis gyroscope. Unfortunately Micro-Electromechanical Systems (MEMS) gyroscopes are subject to noise terms that degrade the orientation estimation. To counteract this, MARG sensors are equipped with global reference measurement sensors: an accelerometer and magnetometer. The accelerometer is used to correct orientation in the plane perpendicular to gravity, while the magnetometer is used as an electronic compass to correct the remaining axis. This arrangement enables a globally referenced orientation computation. However, magnetometers are subject to interference, which can completely invalidate its use as a reference measurement. To increase robustness against such disturbances, a data fusion process has been developed which compensates short-term disturbances and allows for simple incorporation of additional references for error correction without further effort. On this basis, a novel approach was developed that uses the physiological coupling of a human's eyes and head rotation to support the MARG sensor's orientation determination during long-term magnetic field perturbations. Experimental data demonstrates that this method provides an error reduction of up to 50 percent. The usage of an eye tracker logically opens up the use of visual methods for orientation determination. Therefore, within this thesis an open-source visual Simultaneous Localization And Mapping (SLAM) for RGB-D cameras is integrated into the data fusion process to enable a robust calculation of the head pose in space. The data fusion process is designed to dynamically switch between magnetic, inertial, eye tracking-based and visual reference technologies to enable robust orientation estimation under various perturbations, e.g. gyroscope bias, magnetic disturbances and visual sensor data failure. The combination of these sensors and methods provides the capability, in addition to sensing head rotation only, of precise eye or head gaze vector control to perform accurate positioning of a robot's End Effector (EEF) in Cartesian space. The work is finalized with a functional verification of the system in a human-robot workplace, which indicates that the sensor system and methods enable a precise control mechanism for robot teleoperation.

Download or read book Knowledge Assistant written by and published by . This book was released on 1996 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: A prototype sensor fusion framework called the {open_quotes}Knowledge Assistant{close_quotes} has been developed and tested on a gantry robot at Sandia National Laboratories. This Knowledge Assistant guides the robot operator during the planning, execution, and post analysis stages of the characterization process. During the planning stage, the Knowledge Assistant suggests robot paths and speeds based on knowledge of sensors available and their physical characteristics. During execution, the Knowledge Assistant coordinates the collection of data through a data acquisition {open_quotes}specialist.{close_quotes} During execution and post analysis, the Knowledge Assistant sends raw data to other {open_quotes}specialists, {close_quotes} which include statistical pattern recognition software, a neural network, and model-based search software. After the specialists return their results, the Knowledge Assistant consolidates the information and returns a report to the robot control system where the sensed objects and their attributes (e.g. estimated dimensions, weight, material composition, etc.) are displayed in the world model. This paper highlights the major components of this system.

Download or read book Sensor Fusion and Decentralized Control in Robotic Systems written by and published by . This book was released on 2000 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent Industrial Systems Modeling Automation and Adaptive Behavior written by Rigatos, Gerasimos and published by IGI Global. This book was released on 2010-06-30 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been growing interest in industrial systems, especially in robotic manipulators and mobile robot systems. As the cost of robots goes down and become more compact, the number of industrial applications of robotic systems increases. Moreover, there is need to design industrial systems with intelligence, autonomous decision making capabilities, and self-diagnosing properties. Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior analyzes current trends in industrial systems design, such as intelligent, industrial, and mobile robotics, complex electromechanical systems, fault diagnosis and avoidance of critical conditions, optimization, and adaptive behavior. This book discusses examples from major areas of research for engineers and researchers, providing an extensive background on robotics and industrial systems with intelligence, autonomy, and adaptive behavior giving emphasis to industrial systems design.

Download or read book Smart Sensor Signal Fusion in Sensor equipped Adaptive Robots the State of the Art written by Alexander Lauber and published by . This book was released on 1990 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sensor Fusion for Knowledge based Robotic Assembly written by Roger Jeffrey Thien and published by . This book was released on 1992 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Industrial Robotics written by Antoni Grau and published by BoD – Books on Demand. This book was released on 2020-09-09 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, a new approach to the Industry 4.0 revolution is given. New policies and challenges appear and education in robotics also needs to be adapted to this new era. Together with new factory conceptualization, novel applications introduce new paradigms and new solutions to old problems. The factory opens its walls and outdoor applications are solved with new robot morphologies and new sensors that were unthinkable before Industry 4.0 era. This book presents nine chapters that propose a new outlook for an unstoppable revolution in industrial robotics, from drones to software robots

Download or read book Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic written by Tongtong Liu and published by Springer Nature. This book was released on with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.