Simulation And Modeling Related To Computational Science And Robotics Technology

Simulation and modeling contribute to a broad range of applications in computational science and robotics technology, often addressing important design and control problems. This book presents a selection of papers from the International Workshop on Simulation and Modeling related to Computational Science and Robotics Technology (SiMCTR 2011), held at Kobe University, Japan, in November 2011. The workshop provided a forum for discussing recent developments in the growing field of engineering science and mathematical sciences, and brought together a diverse group of researchers in these areas to share and compare the different approaches to simulation and modeling in computational science and robotics technology. The workshop was also aimed at establishing collaborative links between engineering researchers related to information and robotics technology (IRT) and applied mathematicians working in modeling and computational methods for design and control.

This book constitutes the refereed proceedings of the Third International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2012, held in Tsukuba, Japan, in November 2012. The 33 revised full papers and presented together with 3 invited talks were carefully reviewed and selected from 46 submissions. Ten papers describe design of complex behaviors of autonomous robots, 9 address software layers, 8 papers refer to related modeling and learning. The papers are organized in topical sections on mobile robots, software modeling and architecture and humanoid and biped robots.

This proceedings volume contains a selection of papers presented at the symposium "International Conference on High Performance Scientific Computing'' held at the Hanoi Institute of Mathematics of the Vietnam National Center for Natural Science and Technology (NCST), March 10-14, 2003. The conference has been organized by the Hanoi Institute of Mathematics, SFB 359 ''Reactive Flows, Transport and Diffusion'', Heidelberg, Ho Chi Minh City University of Technology and Interdisciplinary Center for Scientific Computing (IWR), Heidelberg. The contributions cover the broad interdisciplinary spectrum of scientific computing and present recent advances in theory, development of methods, and applications in practice. Subjects covered are mathematical modelling, numerical simulation, methods for optimization and optimal control, parallel computing, symbolic computing, software development, applications of scientific computing in physics, chemistry, biology and mechanics, environmental and hydrology problems, transport, logistics and site location, communication networks, production scheduling, industrial and commercial problems.

This book constitutes the refereed proceedings of the First International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2008, held in Venice, Italy, in November 2008. The 29 revised full papers and 21 revised poster papers presented were carefully reviewed and selected from 42 submissions. The papers address all current issues of robotics applications and simulation environments thereof, such as 3D robot simulation, reliability, scalability and validation of robot simulation, simulated sensors and actuators, offline simulation of robot design, online simulation with real­time constraints, simulation with software/hardware-in-the-loop, middleware for robotics, modeling framework for robots and environments, testing and validation of robot control software, standardization for robotic services, communication infrastructures in distributed robotics, interaction between sensor networks and robots, human robot interaction, and multi­robot. The papers are organized in topical sections on simulation, programming, and applications.

This volume is concerned with Computational Techniques in Modeling and Simulation. Initially, there are four research papers and apart from those, the rest of the research papers are coming from the International Conference on Modeling and Simulation (MS2012), held in Minsk, 24 May 2012. MS'12 was co-organised by the AMSE Association and the Belarusian State University in co-operation with other scientific establishments: the Belarusian Academy of Sciences (United Institute of Problems of Informatics), the Belarusian Society of International Association of Pattern Recognition and the International Association for Fuzzy Set Management and Economy (SIGEF, Spain). The Conference was sponsored by the Belarusian State University and Byelex Multimedia Products BV (The Netherlands). It offered a unique opportunity for researchers, professionals and students to share ideas concerning modelling, simulation and implementation of the results in the real world.We would like to thank all contributors, referees, honorary committees for their co-operation within MS'12, in particular: Jaime Gil Aluja (AMSE President), Sergey Ablameyko (the Rector of the Belarusian State University) as honorary chairmen.

"This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher.

This introduction and textbook familiarizes engineers with the use of mathematical and computational modeling and simulation in a way that develops their understanding of the solution characteristics of a broad class of real-world problems. The relevant basic and advanced methodologies are explained in detail, with special emphasis on ill-defined problems. Some fifteen simulation systems are presented on the language and the logical level. Moreover, the reader also can accumulate an experiential overview by studying the wide variety of case studies spanning much of science and engineering. The latter are briefly described within the book but their full versions as well as some simulation software demos are available on the Web. The book can be used for courses on various levels as well as for self-study. Advanced sections are identified and can be skipped in a first reading or in undergraduate courses.

This book aims to describe how parallel computer architectures can be used to enhance the performance of robots, and their great impact on future generations of robots. It provides an in-depth, consistent and rigorous treatment of the topic. A clear definition of tools with results is given which can be applied to parallel processing for robot kinematics and dynamics. Another advantageous feature is that the algorithms presented have been implemented using a parallel processing system, unlike many publications in the field which have presented results in only theoretical terms. This book also includes “benchmark” results that can be used for the development of future work, or can serve as a basis for comparison with other work. In addition, it surveys useful material to aid readers in pursuing further research. Contents:IntroductionThe Parallel Processing ApproachRobot KinematicsComputing the JacobianInverse Jacobian ComputationRobot DynamicsParallel Computations of Robot DynamicsTuning of Robot DynamicsConcluding RemarksAppendix AAppendix BAppendix CAppendix D Readership: Engineers and computer scientists.