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Book Active Motion and Swarming

Download or read book Active Motion and Swarming written by Udo Erdmann and published by . This book was released on 2008 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Active Motion and Swarming

Download or read book Active Motion and Swarming written by Pawel Romanczuk and published by Logos Verlag Berlin GmbH. This book was released on 2011 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, there has been an increasing focus on various biological and physical systems known as "active matter". Examples of such systems range from individual units, such as motile cells or artificial self-propelled particles, to large systems of interacting active particles or individuals. The emergence of large-scale collective motion, as exhibited by flocks of birds or bacterial colonies, is just one prominent and fascinating example of self-organization in active matter systems. In this work, we discuss different individual-based models of active matter using the concept of active Brownian motion. The first part of this work explores the dynamical behavior of single active particles with a particular emphasis on the impact of so-called active fluctuations. The second part extends the scope of this study to interacting active Brownian particles and their collective behavior. First, a systematic derivation of kinetic equations for active Brownian particles with velocity alignment is presented. Further on, motivated by recent biological observations, a new type of "escape-pursuit" model of collective motion is introduced and successfully employed in modeling collective locust behavior.

Book Autonomous Mobile Robots and Multi Robot Systems

Download or read book Autonomous Mobile Robots and Multi Robot Systems written by Eugene Kagan and published by John Wiley & Sons. This book was released on 2019-12-16 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a theoretical and practical guide to the communication and navigation of autonomous mobile robots and multi-robot systems This book covers the methods and algorithms for the navigation, motion planning, and control of mobile robots acting individually and in groups. It addresses methods of positioning in global and local coordinates systems, off-line and on-line path-planning, sensing and sensors fusion, algorithms of obstacle avoidance, swarming techniques and cooperative behavior. The book includes ready-to-use algorithms, numerical examples and simulations, which can be directly implemented in both simple and advanced mobile robots, and is accompanied by a website hosting codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming consists of four main parts. The first looks at the models and algorithms of navigation and motion planning in global coordinates systems with complete information about the robot’s location and velocity. The second part considers the motion of the robots in the potential field, which is defined by the environmental states of the robot's expectations and knowledge. The robot's motion in the unknown environments and the corresponding tasks of environment mapping using sensed information is covered in the third part. The fourth part deals with the multi-robot systems and swarm dynamics in two and three dimensions. Provides a self-contained, theoretical guide to understanding mobile robot control and navigation Features implementable algorithms, numerical examples, and simulations Includes coverage of models of motion in global and local coordinates systems with and without direct communication between the robots Supplemented by a companion website offering codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming is an excellent tool for researchers, lecturers, senior undergraduate and graduate students, and engineers dealing with mobile robots and related issues.

Book Search and Foraging

Download or read book Search and Foraging written by Eugene Kagan and published by CRC Press. This book was released on 2015-06-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the start of modern computing, the studies of living organisms have inspired the progress in developing computers and intelligent machines. In particular, the methods of search and foraging are the benchmark problems for robotics and multi-agent systems. The highly developed theory of search and screening involves optimal search plans that ar

Book Brownian Agents and Active Particles

Download or read book Brownian Agents and Active Particles written by Frank Schweitzer and published by Springer Science & Business Media. This book was released on 2007-08-31 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book lays out a vision for a coherent framework for understanding complex systems. By developing the genuine idea of Brownian agents, the author combines concepts from informatics, such as multiagent systems, with approaches of statistical many-particle physics. It demonstrates that Brownian agent models can be successfully applied in many different contexts, ranging from physicochemical pattern formation to swarming in biological systems.

Book Swarm Intelligence

    Book Details:
  • Author : Andrew Schumann
  • Publisher : CRC Press
  • Release : 2020-11-03
  • ISBN : 0429650248
  • Pages : 184 pages

Download or read book Swarm Intelligence written by Andrew Schumann and published by CRC Press. This book was released on 2020-11-03 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: The notion of swarm intelligence was introduced for describing decentralized and self-organized behaviors of groups of animals. Then this idea was extrapolated to design groups of robots which interact locally to cumulate a collective reaction. Some natural examples of swarms are as follows: ant colonies, bee colonies, fish schooling, bird flocking, horse herding, bacterial colonies, multinucleated giant amoebae Physarum polycephalum, etc. In all these examples, individual agents behave locally with an emergence of their common effect. An intelligent behavior of swarm individuals is explained by the following biological reactions to attractants and repellents. Attractants are biologically active things, such as food pieces or sex pheromones, which attract individuals of swarm. Repellents are biologically active things, such as predators, which repel individuals of swarm. As a consequence, attractants and repellents stimulate the directed movement of swarms towards and away from the stimulus, respectively. It is worth noting that a group of people, such as pedestrians, follow some swarm patterns of flocking or schooling. For instance, humans prefer to avoid a person considered by them as a possible predator and if a substantial part of the group in the situation of escape panic (not less than 5%) changes the direction, then the rest follows the new direction, too. Some swarm patterns are observed among human beings under the conditions of their addictive behavior such as the behavior of alcoholics or gamers. The methodological framework of studying swarm intelligence is represented by unconventional computing, robotics, and cognitive science. In this book we aim to analyze new methodologies involved in studying swarm intelligence. We are going to bring together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. This book considers different models of simulating, controlling, and predicting the swarm behavior of different species from social bacteria to humans.

Book Brownian Agents and Active Particles

Download or read book Brownian Agents and Active Particles written by Frank Schweitzer and published by Springer Science & Business Media. This book was released on 2003-06-13 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book lays out a vision for a coherent framework for understanding complex systems. By developing the genuine idea of Brownian agents, the author combines concepts from informatics, such as multiagent systems, with approaches of statistical many-particle physics. It demonstrates that Brownian agent models can be successfully applied in many different contexts, ranging from physicochemical pattern formation to swarming in biological systems.

Book Dynamics of Mixed Populations of Swarming Bacteria

Download or read book Dynamics of Mixed Populations of Swarming Bacteria written by Shlomit Peled and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Collective motion of individuals among a group is a phenomenon observed in nature at all scales, from simple cells to fish, birds and even mammals. When bacteria swarm, their collective motion is typically characterized by densely-packed groups of individuals moving in coherent patterns of swirls and flows that can persist for several seconds. The swirling dynamics is a physical consequence of cell aspect ratio and cells density due to short-range steric effects and long-range hydrodynamic interactions. Thus, swarming bacteria is an intricate example of self-propelled particles and active matter. Previous studies focused on the average speed and density fluctuations of single-strain swarming colonies, where all cells in a single colony are same. Recently, it was found that wild-type cells move differently from elongated mutants, having different modes of motion that depend on the aspect ratio and cell density.

Book Preliminary Report on Mathematical Modeling for Swarming of Small Animals in Motion  non mathematical Presentation

Download or read book Preliminary Report on Mathematical Modeling for Swarming of Small Animals in Motion non mathematical Presentation written by Akira Ōkubo and published by . This book was released on 1972 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Swarming phenomena of small organisms in motion may be studied theoretically by a combined process of diffusion (random movements of organisms) and of non-diffusion (behavioral characteristics of organisms involving a non-random process). The diffusion equation of concern includes a density-dependent diffusivity and a forcing term which creates a virtual flow of organisms toward a center of swarming. The swarm dimension can be related to the parameters of diffusion and biological behavior. This report presents a preliminary look at the mathematical modeling of swarming phenomena. (Author).

Book Grevillea

    Book Details:
  • Author : Mordecai Cubitt Cooke
  • Publisher :
  • Release : 1873
  • ISBN :
  • Pages : 456 pages

Download or read book Grevillea written by Mordecai Cubitt Cooke and published by . This book was released on 1873 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Grevillea

    Book Details:
  • Author :
  • Publisher :
  • Release : 1874
  • ISBN :
  • Pages : 234 pages

Download or read book Grevillea written by and published by . This book was released on 1874 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Swarm Intelligence

    Book Details:
  • Author : Heiko Hamann
  • Publisher : Springer Nature
  • Release :
  • ISBN : 3031709322
  • Pages : 268 pages

Download or read book Swarm Intelligence written by Heiko Hamann and published by Springer Nature. This book was released on with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Swarm Intelligence

    Book Details:
  • Author : Marco Dorigo
  • Publisher : Springer
  • Release : 2018-10-22
  • ISBN : 303000533X
  • Pages : 447 pages

Download or read book Swarm Intelligence written by Marco Dorigo and published by Springer. This book was released on 2018-10-22 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 11th International Conference on Swarm Intelligence, ANTS 2018, held in Rome, Italy, in October 2018. The 24 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 69 submissions. They are devoted to the field of swarm intelligence as a whole, without any bias towards specific research directions.

Book Magnetic Micro and Nanorobot Swarms  From Fundamentals to Applications

Download or read book Magnetic Micro and Nanorobot Swarms From Fundamentals to Applications written by Li Zhang and published by Springer Nature. This book was released on 2023-12-06 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on the attractive emerging field of micro-/nanorobot swarms (microswarms). It introduces fundamental understandings of various microswarms, including pattern generation, transformation, locomotion, and imaging. This book also demonstrates applications of micro-/nanorobot swarms in different fields, such as biomedical, environmental, and electrical applications. The detailed theoretical analysis and experimental demonstrations in this book provide readers ranging from students to researchers with a realistic picture of progress achieved in the field of micro-/nanorobot swarms. ​

Book Guide to the Study of Common Plants  An Introduction to Botany

Download or read book Guide to the Study of Common Plants An Introduction to Botany written by Volney Morgan Spalding and published by . This book was released on 1893 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Swarm Intelligence

Download or read book Advances in Swarm Intelligence written by Ying Tan and published by Springer Nature. This book was released on 2023-07-07 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”. The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the second part cover topics such as: Swarm Robotics and UAV; Machine Learning; Data Mining; Routing and Scheduling Problems; Stock Prediction and Portfolio Optimization; ICSI-Optimization Competition.