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Master's Thesis
MASTER'S THESIS Online Model Predictive Control of a Robotic System by Combining Simulation and Optimization Mohammad Rokonuzzaman Pappu 2015 Master of Science (120 credits) Space Engineering - Space Master Luleå University of Technology Department of Computer Science, Electrical and Space Engineering Mohammad Rokonuzzaman Pappu Online Model Predictive Control of a Robotic System by Combining Simulation and Optimization School of Electrical Engineering Department of Electrical Engineering and Automation Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Technology Espoo, August 18, 2015 Instructor: Professor Perttu Hämäläinen Aalto University School of Arts, Design and Architecture Supervisors: Professor Ville Kyrki Professor Reza Emami Aalto University Luleå University of Technology School of Electrical Engineering Preface First of all, I would like to express my sincere gratitude to my supervisor Pro- fessor Ville Kyrki for his generous and patient support during the work of this thesis. He was always available for questions and it would not have been possi- ble to finish the work in time without his excellent guidance. I would also like to thank my instructor Perttu H¨am¨al¨ainen for his support which was invaluable for this thesis. My sincere thanks to all the members of Intelligent Robotics group who were nothing but helpful throughout this work. Finally, a special thanks to my colleagues of SpaceMaster program in Helsinki for their constant support and encouragement. Espoo, August 18, -
Agx Multiphysics Download
Agx multiphysics download click here to download A patch release of AgX Dynamics is now available for download for all of our licensed customers. This version include some minor. AGX Dynamics is a professional multi-purpose physics engine for simulators, Virtual parallel high performance hybrid equation solvers and novel multi- physics models. Why choose AGX Dynamics? Download AGX product brochure. This video shows a simulation of a wheel loader interacting with a dynamic tree model. High fidelity. AGX Multiphysics is a proprietary real-time physics engine developed by Algoryx Simulation AB Create a book · Download as PDF · Printable version. AgX Multiphysics Toolkit · Age Of Empires III The Asian Dynasties Expansion. Convert trail version Free Download, product key, keygen, Activator com extended. free full download agx multiphysics toolkit from AYS search www.doorway.ru have many downloads related to agx multiphysics toolkit which are hosted on sites like. With AGXUnity, it is possible to incorporate a real physics engine into a well Download from the prebuilt-packages sub-directory in the repository www.doorway.rug: multiphysics. A www.doorway.ru app that runs a physics engine and lets clients download physics data in real Clone or download AgX Multiphysics compiled with Lua support. Agx multiphysics toolkit. Developed physics the was made dynamics multiphysics simulation. Runtime library for AgX MultiPhysics Library. How to repair file. Original file to replace broken file www.doorway.ru Download. Current version: Some short videos that may help starting with AGX-III. Example 1: Finding a possible Pareto front for the Balaban Index in the Missing: multiphysics. -
Software Design for Pluggable Real Time Physics Middleware
2005:270 CIV MASTER'S THESIS AgentPhysics Software Design for Pluggable Real Time Physics Middleware Johan Göransson Luleå University of Technology MSc Programmes in Engineering Department of Computer Science and Electrical Engineering Division of Computer Science 2005:270 CIV - ISSN: 1402-1617 - ISRN: LTU-EX--05/270--SE AgentPhysics Software Design for Pluggable Real Time Physics Middleware Johan GÄoransson Department of Computer Science and Electrical Engineering, LuleºaUniversity of Technology, [email protected] October 27, 2005 Abstract This master's thesis proposes a software design for a real time physics appli- cation programming interface with support for pluggable physics middleware. Pluggable means that the actual implementation of the simulation is indepen- dent and interchangeable, separated from the user interface of the API. This is done by dividing the API in three layers: wrapper, peer, and implementation. An evaluation of Open Dynamics Engine as a viable middleware for simulating rigid body physics is also given based on a number of test applications. The method used in this thesis consists of an iterative software design based on a literature study of rigid body physics, simulation and software design, as well as reviewing related work. The conclusion is that although the goals set for the design were ful¯lled, it is unlikely that AgentPhysics will be used other than as a higher level API on top of ODE, and only ODE. This is due to a number of reasons such as middleware speci¯c tools and code containers are di±cult to support, clash- ing programming paradigms produces an error prone implementation layer and middleware developers are reluctant to port their engines to Java. -
Physics Simulation Game Engine Benchmark Student: Marek Papinčák Supervisor: Doc
ASSIGNMENT OF BACHELOR’S THESIS Title: Physics Simulation Game Engine Benchmark Student: Marek Papinčák Supervisor: doc. Ing. Jiří Bittner, Ph.D. Study Programme: Informatics Study Branch: Web and Software Engineering Department: Department of Software Engineering Validity: Until the end of summer semester 2018/19 Instructions Review the existing tools and methods used for physics simulation in contemporary game engines. In the review, cover also the existing benchmarks created for evaluation of physics simulation performance. Identify parts of physics simulation with the highest computational overhead. Design at least three test scenarios that will allow to evaluate the dependence of the simulation on carefully selected parameters (e.g. number of colliding objects, number of simulated projectiles). Implement the designed simulation scenarios within Unity game engine and conduct a series of measurements that will analyze the behavior of the physics simulation. Finally, create a simple game that will make use of the tested scenarios. References [1] Jason Gregory. Game Engine Architecture, 2nd edition. CRC Press, 2014. [2] Ian Millington. Game Physics Engine Development, 2nd edition. CRC Press, 2010. [3] Unity User Manual. Unity Technologies, 2017. Available at https://docs.unity3d.com/Manual/index.html [4] Antonín Šmíd. Comparison of the Unity and Unreal Engines. Bachelor Thesis, CTU FEE, 2017. Ing. Michal Valenta, Ph.D. doc. RNDr. Ing. Marcel Jiřina, Ph.D. Head of Department Dean Prague February 8, 2018 Bachelor’s thesis Physics Simulation Game Engine Benchmark Marek Papinˇc´ak Department of Software Engineering Supervisor: doc. Ing. Jiˇr´ıBittner, Ph.D. May 15, 2018 Acknowledgements I am thankful to Jiri Bittner, an associate professor at the Department of Computer Graphics and Interaction, for sharing his expertise and helping me with this thesis. -
Physics Engine Design and Implementation Physics Engine • a Component of the Game Engine
Physics engine design and implementation Physics Engine • A component of the game engine. • Separates reusable features and specific game logic. • basically software components (physics, graphics, input, network, etc.) • Handles the simulation of the world • physical behavior, collisions, terrain changes, ragdoll and active characters, explosions, object breaking and destruction, liquids and soft bodies, ... Game Physics 2 Physics engine • Example SDKs: – Open Source • Bullet, Open Dynamics Engine (ODE), Tokamak, Newton Game Dynamics, PhysBam, Box2D – Closed source • Havok Physics • Nvidia PhysX PhysX (Mafia II) ODE (Call of Juarez) Havok (Diablo 3) Game Physics 3 Case study: Bullet • Bullet Physics Library is an open source game physics engine. • http://bulletphysics.org • open source under ZLib license. • Provides collision detection, soft body and rigid body solvers. • Used by many movie and game companies in AAA titles on PC, consoles and mobile devices. • A modular extendible C++ design. • Used for the practical assignment. • User manual and numerous demos (e.g. CCD Physics, Collision and SoftBody Demo). Game Physics 4 Features • Bullet Collision Detection can be used on its own as a separate SDK without Bullet Dynamics • Discrete and continuous collision detection. • Swept collision queries. • Generic convex support (using GJK), capsule, cylinder, cone, sphere, box and non-convex triangle meshes. • Support for dynamic deformation of nonconvex triangle meshes. • Multi-physics Library includes: • Rigid-body dynamics including constraint solvers. • Support for constraint limits and motors. • Soft-body support including cloth and rope. Game Physics 5 Design • The main components are organized as follows Soft Body Dynamics Bullet Multi Threaded Extras: Maya Plugin, Rigid Body Dynamics etc. Collision Detection Linear Math, Memory, Containers Game Physics 6 Overview • High level simulation manager: btDiscreteDynamicsWorld or btSoftRigidDynamicsWorld. -
Dynamic Simulation of Manipulation & Assembly Actions
Syddansk Universitet Dynamic Simulation of Manipulation & Assembly Actions Thulesen, Thomas Nicky Publication date: 2016 Document version Peer reviewed version Document license Unspecified Citation for pulished version (APA): Thulesen, T. N. (2016). Dynamic Simulation of Manipulation & Assembly Actions. Syddansk Universitet. Det Tekniske Fakultet. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 09. Sep. 2018 Dynamic Simulation of Manipulation & Assembly Actions Thomas Nicky Thulesen The Maersk Mc-Kinney Moller Institute Faculty of Engineering University of Southern Denmark PhD Dissertation Odense, November 2015 c Copyright 2015 by Thomas Nicky Thulesen All rights reserved. The Maersk Mc-Kinney Moller Institute Faculty of Engineering University of Southern Denmark Campusvej 55 5230 Odense M, Denmark Phone +45 6550 3541 www.mmmi.sdu.dk Abstract To grasp and assemble objects is something that is known as a difficult task to do reliably in a robot system. -
Chapter 9 Animation System
Chapter 10 Collision and Rigid Body Dynamics asyrani.com 10.1 Do You Want Physics in Your Game? Things You Can Do with a Physics System A LOT Is Physics Fun? Simulations (Sims) Gran Turismo Flight Simulator Need For Speed Physics Puzzle Games Bridge Builder Fantastic Contraption Crayon Physics The Incredible Machine Sandbox Games LittleBigPlanet GTA 5 Spore Goal-Based and Story-Driven Games A goal-based game has rules and specific objectives that the player must accomplish in order to progress; in a story-driven game , telling a story is of paramount importance. Integrating a physics system into these kinds of games can be tricky. We generally give away control in exchange for a realistic simulation, and this loss of control can inhibit the player’s ability to accomplish goals or the game’s ability to tell the story. Impact of Physics on a Game Predictability Tuning and control Emergent behaviors Engineering Impacts Collision Tools pipeline User interface detection Animation Rag doll AI and character physics motion Networking Record and Graphics and playback multiplayer Art Impacts Additional tool More-complex and workflow content complexity Loss of control Other Impacts Interdisciplinary impacts. The introduction of a dynamics simulation into your game requires close cooperation between engineering, art, and design. Production impacts. Physics can add to a project’s development costs, technical and organizational complexity, and risk. 10.2 Collision/Physics Middleware I-Collide SWIFT V-Collide RAPID ODE ODE stands for “Open Dynamics Engine ” (http://www.ode.org). As its name implies, ODE is an open-source collision and rigid body dynamics SDK. -
Spjaldtölvur Í Norðlingaskóla Smáforrit Í Nóvember 2012 – Upplýsingar Um Forritin Skúlína Hlíf Kjartansdóttir – 31.8.2014
Spjaldtölvur í Norðlingaskóla Smáforrit í nóvember 2012 – upplýsingar um forritin Skúlína Hlíf Kjartansdóttir – 31.8.2014 Lýsingar eru úr iTunes Preview eða af vefsíðum fyrirtækja framleiðnda forritanna. ! Not found on itunes http://ruckygames.com/ 30/30 – Productivity By Binary Hammer https://itunes.apple.com/is/app/30-30/id505863977?mt=8 You have never experienced a task manager like this! Simple. Attractive. Useful. 30/30 helps you get stuff done! 3D Brain – Education / 1 Cold Spring Harbor Lab http://www.g2conline.org/ https://itunes.apple.com/is/app/3d-brain/id331399332?mt=8 Use your touch screen to rotate and zoom around 29 interactive structures. Discover how each brain region functions, what happens when it is injured, and how it is involved in mental illness. Each detailed structure comes with information on functions, disorders, brain damage, case studies, and links to modern research. 3DGlobe2X – Education By Sreeprakash Neelakantan http://schogini.com/ View More by This Developer https://itunes.apple.com/us/app/3d-globe-2x/id430309485?mt=8 2 An amazing way to twirl the world! This 3D globe can be rotated with a swipe of your finger. Spin it to the right or left, and if you want it closer zoom in, or else zoom out. Watch the world revolve at your fingertips! An interesting feature of this 3D globe is that you can type in the name of a place in the given space and it is shown on the 3D globe by affixing a flag to show you the exact location. Also, when you click on the flag, you will get the details about the place on your screen. -
A Position Based Approach to Ragdoll Simulation
LINKÖPING UNIVERSITY Department of Electrical Engineering Master Thesis A Position Based Approach to Ragdoll Simulation Fiammetta Pascucci LITH-ISY-EX- -07/3966- -SE June 2007 LINKÖPING UNIVERSITY Department of Electrical Engineering Master Thesis A position Based Approach to Ragdoll Simulation Fiammetta Pascucci LITH-ISY-EX- -07/3966- -SE June 2007 Supervisor: Ingemar Ragnemalm Examinator: Ingemar Ragnemalm Abstract Create the realistic motion of a character is a very complicated work. This thesis aims to create interactive animation for characters in three dimen- sions using position based approach. Our character is pictured from ragdoll, which is a structure of system particles where all particles are linked by equidistance con- straints. The goal of this thesis is observed the fall in the space of our ragdoll after creating all constraints, as structure, contact and environment constraints. The structure constraint represents all joint constraints which have one, two or three Degree of Freedom (DOF). The contact constraints are represented by collisions between our ragdoll and other objects in the space. Finally, the environment constraints are represented by means of the wall con- straint. The achieved results allow to have a realist fall of our ragdoll in the space. Keywords: Particle System, Verlet’s Integration, Skeleton Animation, Joint Con- straint, Environment Constraint, Skinning, Collision Detection. Acknowledgments I would to thanks all peoples who aid on making my master thesis work. In particular, thanks a lot to the person that most of all has believed in me. This person has always encouraged to go forward, has always given a lot love and help me in difficult movement. -
Physics Engines
Physics Engines Jeff Wilson [email protected] Maribeth Gandy [email protected] Clint Doriot [email protected] CS4455 What is a Physics Engine? • Provides physics simulation in a virtual environment • High Precision vs. Real Time • Real Time requires a lot of approximations • Can be used in creative ways http://www.youtube.com/watch?v=2FMtQuFzjAc CS 4455 Real Time Physic Engines • Havok (commercial), Newton (closed source), Open Dynamics Engine (ODE) (open source), Aegia PhysX (accelerator board available) • Unity o PhysX integration § Rigidbodies § Soft Bodies § Joints § Ragdoll Physics § Cloth § Cars http://docs.unity3d.com/ Documentation/Manual/Physics.html CS 4455 Concepts • Forces • Rigid Bodies o Box, sphere, capsule, character mesh etc. • Constraints • Collision Detection o Can be used by itself with no dynamics CS 4455 Bodies • Rigid • Movable (Dynamic) o Kinematic o Unity’s IsKinematic = false § You are not controlling the velocity & position, Unity is doing that • Unmovable (Static) o Infinite mass • Properties o Mass, dynamic/static friction, restitution (bounciness), softness § Anisotropic friction (skateboard) o Mesh shapes with per triangle materials (terrain) CS 4455 Bodies • Position • Orientation • Velocity • Angular Velocity • These values are a result of forces CS 4455 Collisions • Bounding boxes (collision hulls) reduce complexity of collision calculation o Made from the primitives mentioned before § Boxes, capsules etc. • How your model is encapsulated determines accuracy, and computational requirements -
Digital Control Networks for Virtual Creatures
Digital control networks for virtual creatures Christopher James Bainbridge Doctor of Philosophy School of Informatics University of Edinburgh 2010 Abstract Robot control systems evolved with genetic algorithms traditionally take the form of floating-point neural network models. This thesis proposes that digital control sys- tems, such as quantised neural networks and logical networks, may also be used for the task of robot control. The inspiration for this is the observation that the dynamics of discrete networks may contain cyclic attractors which generate rhythmic behaviour, and that rhythmic behaviour underlies the central pattern generators which drive low- level motor activity in the biological world. To investigate this a series of experiments were carried out in a simulated physically realistic 3D world. The performance of evolved controllers was evaluated on two well known control tasks — pole balancing, and locomotion of evolved morphologies. The performance of evolved digital controllers was compared to evolved floating-point neu- ral networks. The results show that the digital implementations are competitive with floating-point designs on both of the benchmark problems. In addition, the first re- ported evolution from scratch of a biped walker is presented, demonstrating that when all parameters are left open to evolutionary optimisation complex behaviour can result from simple components. iii Acknowledgements “I know why you’re here... I know what you’ve been doing... why you hardly sleep, why you live alone, and why night after night, you sit by your computer.” I would like to thank my parents and grandmother for all of their support over the years, and for giving me the freedom to pursue my interests from an early age. -
Systematic Literature Review of Realistic Simulators Applied in Educational Robotics Context
sensors Systematic Review Systematic Literature Review of Realistic Simulators Applied in Educational Robotics Context Caio Camargo 1, José Gonçalves 1,2,3 , Miguel Á. Conde 4,* , Francisco J. Rodríguez-Sedano 4, Paulo Costa 3,5 and Francisco J. García-Peñalvo 6 1 Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal; [email protected] (C.C.); [email protected] (J.G.) 2 CeDRI—Research Centre in Digitalization and Intelligent Robotics, 5300-253 Bragança, Portugal 3 INESC TEC—Institute for Systems and Computer Engineering, 4200-465 Porto, Portugal; [email protected] 4 Robotics Group, Engineering School, University of León, Campus de Vegazana s/n, 24071 León, Spain; [email protected] 5 Universidade do Porto, 4200-465 Porto, Portugal 6 GRIAL Research Group, Computer Science Department, University of Salamanca, 37008 Salamanca, Spain; [email protected] * Correspondence: [email protected] Abstract: This paper presents a systematic literature review (SLR) about realistic simulators that can be applied in an educational robotics context. These simulators must include the simulation of actuators and sensors, the ability to simulate robots and their environment. During this systematic review of the literature, 559 articles were extracted from six different databases using the Population, Intervention, Comparison, Outcomes, Context (PICOC) method. After the selection process, 50 selected articles were included in this review. Several simulators were found and their features were also Citation: Camargo, C.; Gonçalves, J.; analyzed. As a result of this process, four realistic simulators were applied in the review’s referred Conde, M.Á.; Rodríguez-Sedano, F.J.; context for two main reasons. The first reason is that these simulators have high fidelity in the robots’ Costa, P.; García-Peñalvo, F.J.