Download or read book Path Recognizing for Robots Through Low Cost Sensors written by Artan Dermaku and published by Sudwestdeutscher Verlag Fur Hochschulschriften AG. This book was released on 2012 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Navigation of mobile robots is a complex process including perception, localization, path- planning and motion control. Each of those tasks should be completely understand and from robot correct executed in order to navigate successfully. Understanding and interpreting of real working environment by robots is done through perception process. For this purpose, data obtained from multiple sensors should be correctly extracted and interpreted by the robot, especially using the sensor fusion. Once the working environment is correct interpreted, the robot should correctly localize himself. Before a robot moves from any start position to goal position, a path should be planned. This planning of path should include not only obstacle avoiding but also the optimality. Different algorithms for this purpose exist, from road-maps up to heuristic and genetic algorithms. In this work, a new cost oriented method is proposed, which take in consideration Localization and Path Planning. The proposed approaches for path planning are based on heuristic algorithms. The main advantages of such approaches are the time reducing of map-calculating and replacement of expensive high-tech devices.
Download or read book Visual Perception for Humanoid Robots written by David Israel González Aguirre and published by Springer. This book was released on 2018-09-01 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a bidirectional bridge connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental questions: What & where is it? To answer these questions using a sensor-to-representation bridge, coordinated processes are conducted to extract and exploit cues matching robot’s mental representations to physical entities. These include sensor & actuator modeling, calibration, filtering, and feature extraction for state estimation. This book discusses the following topics in depth: • Active Sensing: Robust probabilistic methods for optimal, high dynamic range image acquisition are suitable for use with inexpensive cameras. This enables ideal sensing in arbitrary environmental conditions encountered in human-centric spaces. The book quantitatively shows the importance of equipping robots with dependable visual sensing. • Feature Extraction & Recognition: Parameter-free, edge extraction methods based on structural graphs enable the representation of geometric primitives effectively and efficiently. This is done by eccentricity segmentation providing excellent recognition even on noisy & low-resolution images. Stereoscopic vision, Euclidean metric and graph-shape descriptors are shown to be powerful mechanisms for difficult recognition tasks. • Global Self-Localization & Depth Uncertainty Learning: Simultaneous feature matching for global localization and 6D self-pose estimation are addressed by a novel geometric and probabilistic concept using intersection of Gaussian spheres. The path from intuition to the closed-form optimal solution determining the robot location is described, including a supervised learning method for uncertainty depth modeling based on extensive ground-truth training data from a motion capture system. The methods and experiments are presented in self-contained chapters with comparisons and the state of the art. The algorithms were implemented and empirically evaluated on two humanoid robots: ARMAR III-A & B. The excellent robustness, performance and derived results received an award at the IEEE conference on humanoid robots and the contributions have been utilized for numerous visual manipulation tasks with demonstration at distinguished venues such as ICRA, CeBIT, IAS, and Automatica.
Download or read book Intelligent Robots written by R. C. Bolles and published by World Scientific. This book was released on 1997 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid advances in sensors, computers, and algorithms continue to fuel dramatic improvements in intelligent robots. In addition, robot vehicles are starting to appear in a number of applications. For example, they have been installed in public settings to perform such tasks as delivering items in hospitals and cleaning floors in supermarkets; recently, two small robot vehicles were launched to explore Mars.This book presents the latest advances in the principal fields that contribute to robotics. It contains contributions written by leading experts addressing topics such as Path and Motion Planning, Navigation and Sensing, Vision and Object Recognition, Environment Modeling, and others.
Download or read book Robot Path Planning with Sensor Feedback for Industrial Applications written by Rekha G. Kulkarni and published by . This book was released on 2021 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research goal of this study is to investigate the use of sensor feedback for robot path planning and optimization. Robots are ideal automation tools for handling highly repetitive manufacturing tasks with unparalleled accuracy and agility. Manufacturing tasks that can be handled by robots include polishing, material handling, assembly, inspection, etc. The study uses ABB Robotstudio simulation software and an existing collaborative robot equipped with a conventionally available 3D machine vision sensor. Regular digital cameras capture two-dimensional images. 3D vision sensors can capture three-dimensional images with the depth perception. The research findings are expected to enhance the domain knowledge and make industrial robots more collaborative and intelligent with advanced sensor feedback. The approach involves two scholarly tasks in achieving the research goal.The first task is to investigate robot path planning for a painting application with the use of the ABB Robotstudio simulation software. The aim of the path planning is to cover the entire surface of a flat panel evenly. For the simulation purposes, a flat panel may contain arbitrary pockets and/or holes which shouldn’t be painted. The simulation uses line sensors that assimilate proximity sensors for detecting the geometry of the flat panel so that the robot path can be optimized in accordance with the workpiece geometry. The second task is to investigate path planning methods along with the machine vision feedback for the same robotic painting application. A UR-10e robot and a SICK ranger camera are used for the second task. A Canny edge detection algorithm is studied in conjunction with identifying the workpiece geometry.
Download or read book Robots Reasoning and Reification written by James P. Gunderson and published by Springer Science & Business Media. This book was released on 2008-12-17 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work was created from the statement “But, all you have to do is make the robot recognize its surroundings. Salamanders do it, and how complex are they?” Little did we know what a long path was started with those simple words. This book is a small step on that path, which we hope leads to robots that can serve as true and useful assistants to humans. At the least, we hope for some help with the tasks that are described by the 3 d**** words (dull, dirty, or dangerous). Fair warning, this work is a synthesis of ideas from many disciplines. As such, we have depended on the work of many other researchers and philosophers. The heart of this work, the lens model, comes from the work of Egon Brunswik. Even though he died in the 1950’s, his ideas are still strong enough to resonate into the 2000’s and into our robot. Another researcher who’s work has greatly in?uenced this work is Walter Freeman, Professor Emeritus of Neurobiology at the University of California, Berkeley. We have relied heavily on his work on preafference and attention to guide the development of our robot. In addition, we have used research from a myriad of different ?elds. Our huge thanks to all the researchers who’s work we used to synthesize this new theory. Denver, CO Louise F. Gunderson July 2008 James P.
Download or read book Toward Learning Robots written by Walter Van de Velde and published by MIT Press. This book was released on 1993 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions in Toward Learning Robots address the question of how a robot can be designed to acquire autonomously whatever it needs to realize adequate behavior in a complex environment. In-depth discussions of issues, techniques, and experiments in machine learning focus on improving ease of programming and enhancing robustness in unpredictable and changing environments, given limitations of time and resources available to researchers. The authors show practical progress toward a useful set of abstractions and techniques to describe and automate various aspects of learning in autonomous systems. The close interaction of such a system with the world reveals opportunities for new architectures and learning scenarios and for grounding symbolic representations, though such thorny problems as noise, choice of language, abstraction level of representation, and operationality have to be faced head-on. Contents Introduction: Toward Learning Robots * Learning Reliable Manipulation Strategies without Initial Physical Models * Learning by an Autonomous Agent in the Pushing Domain * A Cost-Sensitive Machine Learning Method for the Approach and Recognize Task * A Robot Exploration and Mapping Strategy Based on a Semantic Hierarchy of Spatial Representations * Understanding Object Motion: Recognition, Learning and Spatiotemporal Reasoning * Learning How to Plan * Robo-Soar: An Integration of External Interaction, Planning, and Learning Using Soar * Foundations of Learning in Autonomous Agents * Prior Knowledge and Autonomous Learning
Download or read book Modelling And Planning For Sensor Based Intelligent Robot Systems written by Horst Bunke and published by World Scientific. This book was released on 1995-10-24 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited and reviewed volume consists of papers that were originally presented at a workshop in the Scientific Center at Schloss Dagstuhl, Germany. It gives an overview of the field and presents the latest developments in the areas of modeling and planning for sensor based robots. The particular topics addressed include active vision, sensor fusion, environment modeling, motion planning, robot navigation, distributed control architectures, reactive behavior, and others.
Download or read book Traditional and Non Traditional Robotic Sensors written by Thomas C. Henderson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the written record of the NATO Advanced Research Workshop on Traditional and Non-Traditional Robotic Sensors held in the Hotel Villa del Mare, Maratea, Italy, August 28 - September 1, 1989. This workshop was organized under the auspicies of the NATO Special Program on Sensory Systems for Robotic Control. Professor Frans Groen from the University of Amsterdam and Dr. Gert Hirzinger from the German Aerospace Research Establishment (DLR) served as members of the organizing committee for this workshop. Research in the area of robotic sensors is necessary in order to support a wide range of applications, including: industrial automation, space robotics, image analysis, microelectronics, and intelligent sensors. This workshop focused on the role of traditional and non-traditional sensors in robotics. In particular, the following three topics were explored: - Sensor development and technology, - Multisensor integration techniques, - Application area requirements which motivate sensor development directions. This workshop'brought together experts from NATO countries to discuss recent developments in these three areas. Many new directions (or new directions on old problems) were proposed. Existing sensors should be pushed into new application domains such as medical robotics and space robotics.
Download or read book Active Sensor Planning for Multiview Vision Tasks written by Shengyong Chen and published by Springer Science & Business Media. This book was released on 2008-01-23 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book explores the important issues in studying for active visual perception. The book’s eleven chapters draw on recent important work in robot vision over ten years, particularly in the use of new concepts. Implementation examples are provided with theoretical methods for testing in a real robot system. With these optimal sensor planning strategies, this book will give the robot vision system the adaptability needed in many practical applications.
Download or read book Robot Path Adjustment Based on Recogition of Moving Human object Using Sensor Data Fusion written by Anand Kumar Karemola and published by . This book was released on 2006 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Networks for Robotics written by Nancy Arana-Daniel and published by CRC Press. This book was released on 2018-08-21 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures.
Download or read book Sensor based Automated Path Guidance of a Robot Tool written by Anietie Udo Ukpong and published by . This book was released on 1992 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sensor Based Intelligent Robots written by Gregory D. Hager and published by Springer. This book was released on 2003-08-06 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotics is a highly interdisciplinary research topic, that requires integration of methods for mechanics, control engineering, signal processing, planning, gra- ics, human-computer interaction, real-time systems, applied mathematics, and software engineering to enable construction of fully operational systems. The diversity of topics needed to design, implement, and deploy such systems implies that it is almost impossible for individual teams to provide the needed critical mass for such endeavors. To facilitate interaction and progress on sensor-based intelligent robotics inter-disciplinary workshops are necessary through which - depthdiscussioncanbeusedforcrossdisseminationbetweendi?erentdisciplines. The Dagstuhl foundation has organized a number of workshops on Mod- ing and Integration of Sensor Based Intelligent Robot Systems. The Dagstuhl seminars take place over a full week in a beautiful setting in the Saarland in Germany. The setting provides an ideal environment for in-depth presentations and rich interaction between the participants. This volume contains papers presented during the fourth workshop held - tober 15–20, 2000. All papers were submitted by workshop attendees, and were reviewed by at least one reviewer. We wish to thank all of the reviewers for their invaluable help in making this a high-quality selection of papers. We gratefully acknowledge the support of the Schloss Dagstuhl Foundation and the sta? at Springer-Verlag. Without their support the production of this volume would not have been possible.
Download or read book Market Based Sensor Relocation by a Team of Robots in Wireless Sensor Networks written by Haotian Li and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Randomly scattered sensors may cause sensing holes and redundant sensors. In carrier-based sensor relocation, mobile robots (with limited capacity to carry sensors) pick up additional or redundant sensors and relocate them at sensing holes. In the only known localized algorithm, robots randomly traverse field and act based on identified pair of spare sensor and coverage hole. We propose a Market-based Sensor Relocation (MSR) algorithm, which optimizes sensor deployment location, and introduces bidding and coordinating among neighboring robots. Sensors along the boundary of each hole elect one of them as the representative, which bids to neighboring robots for hole filling service. Robot randomly explores by applying Least Recently Visited policy. It chooses the best bid according to Cost over Progress ratio and fetches a spare sensor nearby to cover the corresponding sensing hole. Robots within communication range share their tasks to search for better possible solutions. Simulation shows that MSR outperforms the existing competing algorithm G-R3S2 significantly on total robot traversed path and energy, and time to cover holes, slightly on number of sensors needed to cover the hole, and the cost of additional messages for bidding and deployment location sharing.
Download or read book Integrated Visual Servoing and Force Control written by Joris de Schutter and published by Springer Science & Business Media. This book was released on 2003-09-22 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sight and touch are two elementary, but highly complementary senses - for humans as well as for robots. This monograph develops an integrated vision/force control approach for robotics, combining the advantages of both types of sensors while overcoming their individual drawbacks. It shows how integrated vision/force control improves the task quality in the sense of increased accuracy and execution velocity and widens the range of feasible tasks. The unique feature of this work lies in its comprehensive treatment of the problem from the theoretical development of the various schemes down to the real-time implementation of interaction control algorithms on an industrial robot. The presented approach and its potential impact on the performance of the next generation of robots is starting to be recognized by major manufacturers worldwide.
Download or read book An Architecture for Sensate Robots written by Heather-Marie Callanan Knight and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Touch plays a central role in social expression but, so far, research into social touch behaviors for robots has been almost. non-existent. Embodied machines have the unique capability to sense human body language, which will enable robots to better comprehend, anticipate and respond to their human companions in a natural way. This thesis addresses the novel field of sensate touch by (1) creating the first. robot with full Body sensate touch and with on-screen visualization, (2) establishing a library of salient social gestures through behavioral studies, (3) implementing a first-pass touch gesture recognition system in real-time, an(d (4) running a small pilot study with children to evaluate classifications and test the device's acceptance/utility with humans. Such research is critical path to conceiving and advancing thee use of machine touch to better integrate robots in.to human social environments. All of the above will be incorporated into the huggable robotic teddy bear at the MIT Media Lab's Personal Robotics group and makes use of the Sensitive Skins circuit design created in Dan Stiehl's Masters thesis. This implementation substantially reduces his proposed total sensor numbers and type, modularizes sensors into two uniform shapes, and extends his valuable work on a single body sections to an evaluation of sensors over the entire surface of the robot.
Download or read book Artificial Intelligence for Robotics and Autonomous Systems Applications written by Ahmad Taher Azar and published by Springer Nature. This book was released on 2023-05-15 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses many applications of artificial intelligence in robotics, namely AI using visual and motional input. Robotic technology has made significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such as receiving visual information, adjusting to uncertain circumstances, and making decisions to take action in a complex system. Significant progress has been made in robotics toward human-like intelligence; yet, there are still numerous unresolved issues. Deep learning, reinforcement learning, real-time learning, swarm intelligence, and other developing approaches such as tiny-ML have been developed in recent decades and used in robotics. Artificial intelligence is being integrated into robots in order to develop advanced robotics capable of performing multiple tasks and learning new things with a better perception of the environment, allowing robots to perform critical tasks with human-like vision to detect or recognize various objects. Intelligent robots have been successfully constructed using machine learning and deep learning AI technology. Robotics performance is improving as higher quality, and more precise machine learning processes are used to train computer vision models to recognize different things and carry out operations correctly with the desired outcome. We believe that the increasing demands and challenges offered by real-world robotic applications encourage academic research in both artificial intelligence and robotics. The goal of this book is to bring together scientists, specialists, and engineers from around the world to present and share their most recent research findings and new ideas on artificial intelligence in robotics.
