Download or read book Behavior Modeling for Hybrid Robotic Systems written by Chetan Rawal and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The behavior of a certain class of hybrid robotic systems can be expressed using formal languages. In this work, we show how languages can be generated from discrete abstractions of such hybrid systems; that these languages are regular; and they belong to the star free (SF) class of the Sub-regular hierarchy. Planning and control of hybrid systems is typically difficult due to the computational cost involved in predicting the system's future states, since the states can take infinite values while evolving along the trajectories of continuous dynamics. A discrete abstraction of the hybrid system can reduce these values to a finite number, thereby fascilitating the solution to the reachability problem. Abstraction enables us to focus on planning the system's overall behavior through controller sequences observed in the abstract system, instead of dealing with the dynamics associated with each controller. The constraints between controllers enable or disable their temporal sequencing. Similarity of these constraints with those found in formal language theory, allows us to express controller sequences as strings of symbols forming a formal language. A formal language analysis of hybrid systems provides an approach for automatic planning and control design synthesis in single and multi-agent robotic systems. The class of hybrid systems considered in this work have convergent continuous dynamics with parameterized attractors. We model a robot as a hybrid system, and abstract the hybrid system to a discrete transition system. Plans of controller sequences generated on the transition system are implementable on the hybrid system because of a (weak) bisimulation established between the two systems. Constraints are identified between controllers, that affect their sequencing, with each constraint forming a sub-regular class of controller sequences. Intersection of these languages yield (sub)regular robotic languages that express the overall behavior of the underlying hybrid system. Other models of robot (motion) control such as motion description languages and linear temporal logics generate regular and omega-regular languages respectively. Subregular languages, generated by our classes of hybrid systems, offer structure that can be exploited to operate on system representations in a way that reigns in the complexity of the outcome. The technical contribution of this work in the field of analysis of hybrid systems is that it identifies classes of hybrid robotic systems that can be abstracted so that their overall behavior can be described using subregular languages, and characterizes these languages within the Chomsky hierarchy. This work contributes also to the formal language community by defining a new class of subregular languages, called the tier-based strictly local languages, which captures long-distance constraints between symbols. The tier-based language models have existed in phonology, especially in the form of autosegmental patterns. However, these models have primarily dealt with expressing certain phonological patterns on tiers, instead of analyzing the tiers, as our work does here. This work opens ventures for exploring learning of the regular robotic languages by using phonological learners. In addition, cooperative behaviors between homogeneous and heterogeneous robots, by performing intersection of their regular robotic languages, can be looked into as future work. Formal language theory also offers algebraic tools for analysis of the languages and automata, which can be explored for studying optimal plans of hybrid system behavior, and can aid in composing and decomposing languages.

Download or read book Behavior based Robotics written by Ronald C. Arkin and published by MIT Press. This book was released on 1998 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword by Michael Arbib This introduction to the principles, design, and practice of intelligent behavior-based autonomous robotic systems is the first true survey of this robotics field. The author presents the tools and techniques central to the development of this class of systems in a clear and thorough manner. Following a discussion of the relevant biological and psychological models of behavior, he covers the use of knowledge and learning in autonomous robots, behavior-based and hybrid robot architectures, modular perception, robot colonies, and future trends in robot intelligence. The text throughout refers to actual implemented robots and includes many pictures and descriptions of hardware, making it clear that these are not abstract simulations, but real machines capable of perception, cognition, and action.

Download or read book Cells and Robots written by Dejan Lj. Milutinovic and published by Springer. This book was released on 2007-10-18 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph has arisen from the multidisciplinary research extending over biology, robotics and hybrid systems theory. It is inspired by modeling reactive behavior of the immune system cell population, where each cell is considered an independent agent. The authors formulate the optimal control of maximizing the probability of robotic presence in a given region and discuss the application of the Minimum Principle for partial differential equations to this problem.

Download or read book Stochastic Reactive Distributed Robotic Systems written by Gregory Mermoud and published by Springer. This book was released on 2013-10-01 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents the development of novel model-based methodologies for engineering self-organized and self-assembled systems. The work bridges the gap between statistical mechanics and control theory by tackling a number of challenges for a class of distributed systems involving a specific type of constitutive components, namely referred to as Smart Minimal Particles. The results described in the volume are expected to lead to more robust, dependable, and inexpensive distributed systems such as those endowed with complex and advanced sensing, actuation, computation, and communication capabilities.

Download or read book Biomimetic and Biohybrid Systems written by Nathan F. Lepora and published by Springer. This book was released on 2013-07-01 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the second International Conference on Biomimetic and Biohybrid Systems, Living Machines 2013, held in London, UK, in July/August 2013. The 65 revised full papers presented were carefully reviewed and selected from various submissions. The papers are targeted at the intersection of research on novel live-like technologies inspired by scientific investigation of biological systems, biomimetics, and research that seeks to interface biological and artificial systems to create biohybrid systems

Download or read book Discrete Event Hybrid Systems in Robotics and Automation written by Tarek M. Sobh and published by . This book was released on 2006 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: The underlying mathematical representation of complex robotic and manufacturing computer-controlled systems is still insufficient to create a set of models which accurately captures the dynamics of the system over the entire range of system operation. We remain in a situation where we must trade of the accuracy of our models with the manageability of the models. Closed-form solutions of mathematical models are almost exclusively limited to linear system models. Computer simulation of non-linear hybrid and discrete-event models provide a means for online design of robotic control systems. Guarantees of system performance are limited to those regions where the robustness conditions apply. These conditions may not apply during start-up and shutdown or during periods of anomalous operation. Attempts have been made to model low and high-level system changes in automated and robotic systems as discrete event dynamic systems, DEDS, and hybrid systems. Several attempts to improve modelling capabilities are focused on mapping the continuous world into a discrete one. However, repeated results are available which indicate that large interactive systems evolve into states where minor events can lead to a catastrophe. Discrete event and hybrid systems have been used in the manufacturing and automation domains to model system state changes within a process. Timed and untimed petri nets and state automata in addition to Markovian-stochastic perturbation and other models have been used extensively to model and control automated manufacturing systems. High level DEDS controllers have also been to guide the behaviour of robots based on sensory outputs. This book presents a collection of problems, modelling strategies, analysis tools, and theoretical frameworks for discrete events and hybrid systems within the robotics and automation domain.

Download or read book State Estimation Planning and Behavior Selection Under Uncertainty for Autonomous Robotic Exploration in Dynamic Environments written by Georgios Lidoris and published by kassel university press GmbH. This book was released on 2011 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Designing Autonomous Agents written by Pattie Maes and published by MIT Press. This book was released on 1990 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing Autonomous Agents provides a summary and overview of the radically different architectures that have been developed over the past few years for organizing robots. These architectures have led to major breakthroughs that promise to revolutionize the study of autonomous agents and perhaps artificial intelligence in general. The new architectures emphasize more direct coupling of sensing to action, distributedness and decentralization, dynamic interaction with the environment, and intrinsic mechanisms to cope with limited resources and incomplete knowledge. The research discussed here encompasses such important ideas as emergent functionality, task-level decomposition, and reasoning methods such as analogical representations and visual operations that make the task of perception more realistic. Contents A Biological Perspective on Autonomous Agent Design, Randall D. Beer, Hillel J. Chiel, Leon S. Sterling * Elephants Don't Play Chess, Rodney A. Brooks * What Are Plans For? Philip E. Agre and David Chapman * Action and Planning in Embedded Agents, Leslie Pack Kaelbling and Stanley J. Rosenschein * Situated Agents Can Have Goals, Pattie Maes * Exploiting Analogical Representations, Luc Steels * Internalized Plans: A Representation for Action Resources, David W. Payton * Integrating Behavioral, Perceptual, and World Knowledge in Reactive Navigation, Ronald C. Arkin * Symbol Grounding via a Hybrid Architecture in an Autonomous Assembly System, Chris Malcolm and Tim Smithers * Animal Behavior as a Paradigm for Developing Robot Autonomy, Tracy L. Anderson and Max Donath

Download or read book Behavior Trees in Robotics and AI written by Michele Colledanchise and published by CRC Press. This book was released on 2018-07-20 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add features without breaking existing functionality. BTs were created to address this very problem, and enables the creation of systems that are both modular and reactive. Behavior Trees in Robotics and AI: An Introduction provides a broad introduction as well as an in-depth exploration of the topic, and is the first comprehensive book on the use of BTs. This book introduces the subject of BTs from simple topics, such as semantics and design principles, to complex topics, such as learning and task planning. For each topic, the authors provide a set of examples, ranging from simple illustrations to realistic complex behaviors, to enable the reader to successfully combine theory with practice. Starting with an introduction to BTs, the book then describes how BTs relate to, and in many cases, generalize earlier switching structures, or control architectures. These ideas are then used as a foundation for a set of efficient and easy to use design principles. The book then presents a set of important extensions and provides a set of tools for formally analyzing these extensions using a state space formulation of BTs. With the new analysis tools, the book then formalizes the descriptions of how BTs generalize earlier approaches and shows how BTs can be automatically generated using planning and learning. The final part of the book provides an extended set of tools to capture the behavior of Stochastic BTs, where the outcomes of actions are described by probabilities. These tools enable the computation of both success probabilities and time to completion. This book targets a broad audience, including both students and professionals interested in modeling complex behaviors for robots, game characters, or other AI agents. Readers can choose at which depth and pace they want to learn the subject, depending on their needs and background.

Download or read book Dynamics of Robots with Contact Tasks written by M. Vukobratovic and published by Springer Science & Business Media. This book was released on 2003-11-30 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: As robots are becoming more and more sophisticated the interest in robot dynamics is increasing. Within this field, contact problems are among the most interesting, since contacts are present in almost any robot task and introduce serious complexity to system dynamics, strongly influencing robot behavior. The book formulates dynamic models of robot interaction with different kinds of environment, from pure geometrical constraints to complex dynamic environments. It provides a number of examples. Dynamic modeling is the primary interest of the book but control issues are treated as well. Because dynamics and contact control tasks are strongly related the authors also provide a brief description of relevant control issues. The book will be of interest to engineers working in research and development in robotics and automation and to both graduate and postgraduate students. The work will also be valuable to readers involved in manufacturing, robotics, automation, computer and control engineering.

Download or read book Hybrid Dynamical Systems written by Hai Lin and published by Springer Nature. This book was released on 2021-11-18 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: A graduate-level textbook, Hybrid Dynamical Systems provides an accessible and comprehensive introduction to the theory of hybrid systems. It emphasizes results that are central to a good understanding of the importance and role of such systems. The authors have developed the materials in this book while teaching courses on hybrid systems, cyber-physical systems, and formal methods. This textbook helps students to become familiar with both the major approaches coloring the study of hybrid dynamical systems. The computer science and control systems points of view – emphasizing discrete dynamics and real time, and continuous dynamics with switching, respectively – are each covered in detail. The book shows how the behavior of a system with tightly coupled cyber- (discrete) and physical (continuous) elements can best be understood by a model simultaneously encompassing all the dynamics and their interconnections. The theory presented is of fundamental importance in a wide range of emerging fields from next-generation transportation systems to smart manufacturing.Features of the text include: extensive use of examples to illustrate the main concepts and to provide insights additional to those acquired from the main text; chapter summaries enabling students to assess their progress; end-of-chapter exercises, which test learning as a course proceeds; an instructor’s guide showing how different parts of the book can be exploited for different course requirements; and a solutions manual, freely available for download by instructors adopting the book for their teaching. Access to MATLAB and Stateflow is not required but would be beneficial, especially for exercises in which simulations are a key tool.

Download or read book Intelligent Control of Robotic Systems written by D. Katic and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabilities, more intelligence, higher levels of manual dexter ity, and adequate mobility, compared to humans. In order to ensure high-quality control and performance in robotics, new intelligent control techniques must be developed, which are capable of coping with task complexity, multi-objective decision making, large volumes of perception data and substantial amounts of heuristic information. Hence, the pursuit of intelligent autonomous robotic systems has been a topic of much fascinating research in recent years. On the other hand, as emerging technologies, Soft Computing paradigms consisting of complementary elements of Fuzzy Logic, Neural Computing and Evolutionary Computation are viewed as the most promising methods towards intelligent robotic systems. Due to their strong learning and cognitive ability and good tolerance of uncertainty and imprecision, Soft Computing techniques have found wide application in the area of intelligent control of robotic systems.

Download or read book Lyapunov Based Control of Robotic Systems written by Aman Behal and published by CRC Press. This book was released on 2009-12-17 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lyapunov-Based Control of Robotic Systems describes nonlinear control design solutions for problems that arise from robots required to interact with and manipulate their environments. Since most practical scenarios require the design of nonlinear controllers to work around uncertainty and measurement-related issues, the authors use Lyapunov's direc

Download or read book Autonomous Vehicle Navigation written by Lounis Adouane and published by CRC Press. This book was released on 2016-04-21 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve the Safety, Flexibility, and Reliability of Autonomous Navigation in Complex EnvironmentsAutonomous Vehicle Navigation: From Behavioral to Hybrid Multi-Controller Architectures explores the use of multi-controller architectures in fully autonomous robot navigation-even in highly dynamic and cluttered environments. Accessible to researchers

Download or read book Supervisory Control of Discrete Event Systems written by W. Murray Wonham and published by Springer. This book was released on 2018-08-17 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how supervisory control theory (SCT) supports the formulation of various control problems of standard types, like the synthesis of controlled dynamic invariants by state feedback, and the resolution of such problems in terms of naturally definable control-theoretic concepts and properties, like reachability, controllability and observability. It exploits a simple, abstract model of controlled discrete-event systems (DES) that has proved to be tractable, appealing to control specialists, and expressive of a range of control-theoretic ideas. It allows readers to choose between automaton-based and dually language-based forms of SCT, depending on whether their preference is for an internal-structural or external-behavioral description of the problem. The monograph begins with two chapters on algebraic and linguistic preliminaries and the fundamental concepts and results of SCT are introduced. To handle complexity caused by system scale, architectural approaches—the horizontal modularity of decentralized and distributed supervision and the vertical modularity of hierarchical supervision—are introduced. Supervisory control under partial observation and state-based supervisory control are also addressed; in the latter, a vector DES model that exploits internal regularity of algebraic structure is proposed. Finally SCT is generalized to deal with timed DES by incorporating temporal features in addition to logical ones. Researchers and graduate students working with the control of discrete-event systems or who are interested in the development of supervisory control methods will find this book an invaluable aid in their studies. The text will also be of assistance to researchers in manufacturing, logistics, communications and transportation, areas which provide plentiful examples of the class of systems being discussed.

Download or read book Plan Based Control of Robotic Agents written by Michael Beetz and published by Springer. This book was released on 2003-07-01 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities. This book makes three major contributions to improving the capabilities of robotic agents: - first, a plan representation method is introduced which allows for specifying flexible and reliable behavior - second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans - third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail.

Download or read book Simulation Modeling and Programming for Autonomous Robots written by Noriako Ando and published by Springer. This book was released on 2010-11-11 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why are the many highly capable autonomous robots that have been promised for novel applications driven by society, industry, and research not available - day despite the tremendous progress in robotics science and systems achieved during the last decades? Unfortunately, steady improvements in speci?c robot abilities and robot hardware have not been matched by corresponding robot performance in real world environments. This is mainly due to the lack of - vancements in robot software that master the development of robotic systems of ever increasing complexity. In addition, fundamental open problems are still awaiting sound answers while the development of new robotics applications s- fersfromthelackofwidelyusedtools,libraries,andalgorithmsthataredesigned in a modular and performant manner with standardized interfaces. Simulation environments are playing a major role not only in reducing development time and cost, e. g. , by systematic software- or hardware-in-the-loop testing of robot performance, but also in exploring new types of robots and applications. H- ever,their use may still be regardedwith skepticism. Seamless migrationof code using robot simulators to real-world systems is still a rare circumstance, due to the complexity of robot, world, sensor, and actuator modeling. These challenges drive the quest for the next generation of methodologies and tools for robot development. The objective of the International Conference on Simulation, Modeling, and ProgrammingforAutonomous Robots (SIMPAR) is to o?er a unique forum for these topics and to bring together researchersfrom academia and industry to identify and solve the key issues necessary to ease the development of increasingly complex robot software.