DOCSLIB.ORG

Basic Game Physics Introduc6on (1 of 2)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Basic Game Physics Introduc6on (1 of 2) 4/5/17 Basic Game Physics IMGD 4000 With material from: Introducon to Game Development, Second EdiBon, Steve Rabin (ed), Cengage Learning, 2009. (Chapter 4.3) and Ar)ficial Intelligence for Games, Ian Millington, Morgan Kaufmann, 2006 (Chapter 3) IntroducBon (1 of 2) • What is game physics? – Compung mo)on of objects in virtual scene • Including player avatars, NPC’s, inanimate objects – Compung mechanical interacons of objects • InteracBon usually involves contact (collision) – Simulaon must be real-Bme (versus high- precision simulaon for CAD/CAM, etc.) – Simulaon may be very realisBc, approXimate, or intenBonally distorted (for effect) 2 1 4/5/17 IntroducBon (2 of 2) • And why is it important? – Can improve immersion – Can support new gameplay elements – Becoming increasingly prominent (eXpected) part of high-end games – Like AI and graphics, facilitated by hardware developments (mulB-core, GPU) – Maturaon of physics engine market 3 Physics Engines • Similar buy vs. build analysis as game engines – Buy: • Complete soluBon from day one • Proven, robust code base (hopefully) • Feature sets are pre-defined • Costs range from free to expensive – Build: • Choose eXactly features you want • Opportunity for more game-specificaon opBmizaons • Greater opportunity to innovate • Cost guaranteed to be eXpensive (unless features eXtremely minimal) 4 2 4/5/17 Physics Engines • Open source – BoX2D, Bullet, Chipmunk, JigLib, ODE, OPAL, OpenTissue, PAL, Tokamak, Farseer, Physics2d, Glaze • Closed source (limited free distribuBon) – Newton Game Dynamics, Simple Physics Engine, True AXis, PhysX • Commercial – Havok, nV Physics, VorteX • Relaon to Game Engines – Nave, e.g,. C4 – Integrated, e.g., UE4 + PhysX – Pluggable, e.g., C4 + PhysX, jME + ODE (via jME Physics) Basic Game Physics Concepts • Why are we studying this? – To use an engine effecBvely, you need to understand something about what it’s doing – You may need to implement small features or eXtensions yourself – Cf., owning a car without understanding anything about how it works • EXamples – Kinemacs and dynamics – Projecle moBon – Collision detecBon and response 6 3 4/5/17 Outline • IntroducBon (done) • Kinemacs (next) • The Firing Soluon • Collision DetecBon • Ragdoll Physics • PhysX 7 Kinemacs (1 of 3) • Study of moBon of objects without taking into account mass or force • Basic quanBBes: posion, me • ... and their derivaves: velocity, acceleraon • Basic equaons: Where: 1) d = vt t - (elapsed) )me d - distance (change in posi)on) 2) v = u + at v - (final) velocity (change in distance per unit )me) 3) d = ut + ½at2 a - accelera)on (change in velocity per unit )me) 2 2 u - (ini)al) velocity 4) v = u + 2ad Note, equaon #3 is the integral of equaon #2 with respect to Bme (see neXt slide). Equaon #4 can be useful. 8 4 4/5/17 Kinemacs (2 of 3) Non-accelerated moBon Accelerated moBon d = ut d = ut + ½at2 EXample: EXample: u = 20 m/s, t = 300 s u=0 m/s, a=4m/s2, t=3s d = 20 x 3000 = 6000 m d = 0x3 + 0.5x4x9 = 18m Kinemacs (3 of 3) Predicon Example: If you throw a ball straight up into the air with an iniBal velocity of 10 m/ sec, how high will it go? v = 0 v2 = u2 + 2ad d a = -10 u = 10 m/sec (iniBal speed upward) a = -10 m/sec2 (approX gravity) v = 0 m/sec (at top of flight) u = 10 0 = 102 + 2(-10)d d = 5 meters (Note, answer independent of mass of ball!) 10 5 4/5/17 Doing It In 3D • Mathemacally, consider all quanBBes involving posiBon to be vectors: d = vt v = u + at d = ut + at2/2 • Computaonally, using appropriate 3-element vector datatype 11 Dynamics • NoBce that preceding kinemac descripBons say nothing about why an object accelerates (or why its acceleraon might change) • To get a full “modern” physical simulaon you need to add two more basic concepts: – force – mass • Discovered by Sir Isaac Newton • Around 1700 J 12 6 4/5/17 Newton’s Laws 1. A body will remain at rest or conBnue to move in a straight line at a constant speed unless acted upon by a force. 2. The acceleraon of a body is proporonal to the resultant force acBng on the body and is in the same direcBon as the resultant force. 3. For every acBon, there is an equal and opposite reacBon. 13 MoBon Without Newton’s Laws • Pac-Man or early Mario style – Follow path with instantaneous changes in speed and direcBon (velocity) – Not physically possible • Note - fine for some casual games (especially with appropriate animaons) 14 7 4/5/17 Newton’s Second Law F = ma At each moment in Bme: F = force vector, in Newton’s m = mass (intrinsic scalar property of maer), in kg a = acceleraon vector, in m/sec2 Player cares about state of world (posiBon of objects). Equaon is fundamental driver of all physics simulaons. • Force causes acceleraon (a = F/m) • Acceleraon causes change in velocity Kinemacs • Velocity causes change in posion equaons 15 How Are Forces Applied? • May involve contact – Collision (rebound) – Fricon (rolling, sliding) • Without contact – Rockets/Muscles/Propellers – Gravity – Wind (if not modeling air parBcles) – Magic • Dynamic (force) modeling also used for autonomous steering behaviors 16 8 4/5/17 CompuBng Kinemacs in Real Time start = getTime() // start time p = 0 // initial position u = 10 // initial velocity a = -10 d function update () { // in game loop a = -10 now = getTime() t = now – start simulate(t) } u, p function simulate (t) { 2 d = (u + (0.5 * a * t)) * t d = ut + at /2 move object to p + d // move to loc. computed since start } Note! Number of calls and Bme values to simulate() depend on (changing) game loop me (frame rate) Is this a problem? It can be! For rigid body simulaon with colliding forces and fricBon (e.g., many interesBng cases) … leading to “jerky” behavior 17 Frame Rate Independence • CompleX numerical simulaons used in physics engines are sensiBve to Bme steps (due to truncaon error and other numerical effects) • But results need to be repeatable regardless of CPU/GPU performance – for debugging – for game play • So, if frame rate drops (game loop can’t keep up), then physics will change • Soluon: Control physics simulaon interval independently of frame rate 18 9 4/5/17 Frame Rate Independence delta simula)on )cks lag frame updates previous now start = ... delta = 0.02 // physics simula)on interval (sec) lag = 0 // )me since last simulated previous = 0 // )me of previous call to update function update() { // in game loop now = getTime() t = (previous - start) – lag // previous simulate() lag = lag + (now - previous) // current lag while ( lag > delta ) // repeat un)l caught up t = t + delta simulate(t) lag = lag - delta previous = now // simula)on caught up to current )me } 19 Outline • IntroducBon (done) • Kinemacs (done) • The Firing Soluon (next) • Collision DetecBon • Ragdoll Physics • PhysX 20 10 4/5/17 The Firing Soluon (1 of 3) • How to hit target – Beam weapon or high-velocity bullet over short ranges can be viewed as traveling in straight line – But projecBle travels in parabolic arc • Grenade, spear, catapult, etc. d = ut + at2/2 a = [0, 0, -9.8] m/sec2 (but can use higher value, e.g., -18) d u = velocity vector Most typical game situaons, magnitude of u fixed. We only need to know relave components (orientaon) à Challenge: • Given a, d, solve for u 21 Remember Quadrac Equaons? • Make nice curves – Like firing at target! • SoluBons are where equals 0. E.g., when firing with gun on ground: – At gun muzzle – At target • But unlike in algebra class, not just solving quadrac but finding angle with y = gun, y = target • Angle changes speed in X-direcBon, but also Bme spent in air • Aver hairy math [Millington 3.5.3], three relevant cases: – Target is out of range (no soluBon) • Solve with quadrac formula – Target is at eXact maximum range (single soluon) – Target is closer than maximum range (two possible soluBons) 22 11 4/5/17 The Firing Soluon (2 of 3) long Bme trajectory short Bme trajectory [Millington 3.5.3] u = (2Δ - at2) / (2 (muzzle_v) t) d u = muzzle velocity vector where muzzle_v = max muzzle speed Δ is difference vector from d to u • Usually choose short Bme trajectory a is gravity – Gives target less Bme to escape – Unless shooBng over wall, etc. 23 The Firing Soluon (3 of 3) function firingSolution (start, target, muzzle_v, gravity) { // Calculate vector back from target to start delta = target - start // Real-valued coefficents of quadra)c equa)on a = gravity * gravity b = -4 * (gravity * delta + muzzle_v * muzzle_v) c = 4 * delta * delta // Check for no real solu)ons if ( 4 * a * c > b * b ) return null // Find short and long )mes to target disc = sqrt (b * b - 4 * a *c) Note, a, b and c are scalars t1 = sqrt ( ( -b + disc ) / (2 * a )) so a normal square root. t2 = sqrt ( ( -b - disc ) / (2 * a )) // Pick shortest valid )me to target (t) if ( t1 < 0 ) && ( t2 < 0) return null // No valid )mes if ( t1 < 0 ) ttt = t2 else if ( t2 < 0 ) ttt = t1 else Note scalar product of two vectors using *: ttt = min ( t1, t2 ) [a,b,c] * [d,e,f] = a*d + b*e + c*f // Return firing vector return ( 2 * delta - gravity * ttt * ttt ) / ( 2 * muzzle_v * ttt ) } [Millington 3.5.3] 24 12 4/5/17 Outline • IntroducBon (done) • Kinemacs (done) • The Firing Soluon (done) • Collision DetecBon (next) • Ragdoll Physics • PhysX 25 Collision DetecBon • Determining when objects collide is not as easy as it seems – Geometry can be compleX – Objects can be moving quickly – There can be many objects • naive algorithms are O(n2) • Two basic approaches: – Overlap tesBng • Detects whether collision has already occurred – IntersecBon tesBng • Predicts whether collision will occur in future 26 13 4/5/17 Basics –
Load more

Recommended publications
  • 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.
    [Show full text]
  • Rifle Hunting
    TABLE OF CONTENTS Hunting and Outdoor Skills Member Manual ACKNOWLEDGEMENTS A. Introduction to Hunting 1. History of Hunting 5 2. Why We Hunt 10 3. Hunting Ethics 12 4. Hunting Laws and Regulations 20 5. Hunter and Landowner Relations 22 6. Wildlife Management and the Hunter 28 7. Careers in Hunting, Shooting Sports and Wildlife Management 35 B. Types of Hunting 1. Hunting with a Rifle 40 2. Hunting with a Shotgun 44 3. Hunting with a Handgun 48 4. Hunting with a Muzzleloading 51 5. Bowhunting 59 6. Hunting with a Camera 67 C. Outdoor and Hunting Equipment 1. Use of Map and Compass 78 2. Using a GPS 83 3. Choosing and Using Binoculars 88 4. Hunting Clothing 92 5. Cutting Tools 99 D. Getting Ready for the Hunt 1. Planning the Hunt 107 2. The Hunting Camp 109 3. Firearm Safety for the Hunter 118 4. Survival in the Outdoors 124 E. Hunting Skills and Techniques 1. Recovering Game 131 2. Field Care and Processing of Game 138 3. Hunting from Stands and Blinds 144 4. Stalking Game Animals 150 5. Hunting with Dogs 154 F. Popular Game Species 1. Hunting Rabbits and Hares 158 2. Hunting Squirrels 164 3. Hunting White-tailed Deer 171 4. Hunting Ring-necked Pheasants 179 5. Hunting Waterfowl 187 6. Hunting Wild Turkeys 193 2 ACKNOWLEDGEMENTS The 4-H Shooting Sports Hunting Materials were first put together about 25 years ago. Since that time there have been periodic updates and additions. Some of the authors are known, some are unknown. Some did a great deal of work; some just shared morsels of their expertise.
    [Show full text]
  • Cost-Efficient Video Interactions for Virtual Training Environment
    COST-EFFICIENT VIDEO INTERACTIONS FOR VIRTUAL TRAINING ENVIRONMENT Arsen Gasparyan A Thesis Submitted to the Graduate College of Bowling Green State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 2007 Committee: Hassan Rajaei, Advisor Guy Zimmerman Walter Maner ii ABSTRACT Rajaei Hassan, Advisor In this thesis we propose the paradigm for video-based interaction in the distributed virtual training environment, develop the proof of concept, examine the limitations and discover the opportunities it provides. To make the interaction possible we explore and/or develop methods which allow to estimate the position of user’s head and hands via image recognition techniques and to map this data onto the virtual 3D avatar thus allowing the user to control the virtual objects the similar way as he/she does with real ones. Moreover, we target to develop a cost efficient system using only cross-platform and freely available software components, establishing the interaction via common hardware (computer, monocular web-cam), and an ordinary internet channel. Consequently we aim increasing accessibility and cost efficiency of the system and avoidance of expensive instruments such as gloves and cave system for interaction in virtual space. The results of this work are the following: the method for estimation the hand positions; the proposed design solutions for the system; the proof of concepts based on the two test cases (“Ball game” and “Chemistry lab”) which show that the proposed ideas allow cost-efficient video-based interaction over the internet; and the discussion regarding the advantages, limitations and possible future research on the video-based interactions in the virtual environments.
    [Show full text]
  • Reinforcement Learning for Manipulation of Collections of Objects Using Physical Force fields
    Bachelor’s thesis Czech Technical University in Prague Faculty of Electrical Engineering F3 Department of Control Engineering Reinforcement learning for manipulation of collections of objects using physical force fields Dominik Hodan Supervisor: doc. Ing. Zdeněk Hurák, Ph.D. Field of study: Cybernetics and Robotics May 2020 ii BACHELOR‘S THESIS ASSIGNMENT I. Personal and study details Student's name: Hodan Dominik Personal ID number: 474587 Faculty / Institute: Faculty of Electrical Engineering Department / Institute: Department of Control Engineering Study program: Cybernetics and Robotics II. Bachelor’s thesis details Bachelor’s thesis title in English: Reinforcement learning for manipulation of collections of objects using physical force fields Bachelor’s thesis title in Czech: Posilované učení pro manipulaci se skupinami objektů pomocí fyzikálních silových polí Guidelines: The goal of the project is to explore the opportunities that the framework of reinforcement learning offers for the task of automatic manipulation of collections of objects using physical force fields. In particular, force fields derived from electric and magnetic fields shaped through planar regular arrays of 'actuators' (microelectrodes, coils) will be considered. At least one of the motion control tasks should be solved: 1. Feedback-controlled distribution shaping. For example, it may be desired that a collection of objects initially concentrated in one part of the work arena is finally distributed uniformly all over the surface. 2. Feedback-controlled mixing, in which collections objects of two or several types (colors) - initially separated - are blended. 3. Feedback-controlled Brownian motion, in which every object in the collection travels (pseudo)randomly all over the surface. Bibliography / sources: [1] D.
    [Show full text]
  • 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.
    [Show full text]
  • PDF Download Learning Cocos2d
    LEARNING COCOS2D : A HANDS-ON GUIDE TO BUILDING IOS GAMES WITH COCOS2D, BOX2D, AND CHIPMUNK PDF, EPUB, EBOOK Rod Strougo | 640 pages | 28 Jul 2011 | Pearson Education (US) | 9780321735621 | English | New Jersey, United States Learning Cocos2D : A Hands-On Guide to Building iOS Games with Cocos2D, Box2D, and Chipmunk PDF Book FREE U. With the introduction of iOS5, many security issues have come to light. You will then learn to add scenes to the game such as the gameplay scene and options scene and create menus and buttons in these scenes, as well as creating transitions between them. Level design and asset creation is a time consuming portion of game development, and Chipmunk2D can significantly aid in creating your physics shapes. However, they are poor at providing specific, actionable data that help game designers make their games better for several reasons. The book starts off with a detailed look at how to implement sprites and animations into your game to make it livelier. You should have some basic programming experience with Objective-C and Xcode. This book shows you how to use the powerful new cocos2d, version 2 game engine to develop games for iPhone and iPad with tilemaps, virtual joypads, Game Center, and more. The user controls an air balloon with his device as it flies upwards. We will create a game scene, add background image, player and enemy characters. Edward rated it really liked it Aug 13, Marketing Pearson may send or direct marketing communications to users, provided that Pearson will not use personal information collected or processed as a K school service provider for the purpose of directed or targeted advertising.
    [Show full text]
  • 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.
    [Show full text]
  • Locotest: Deploying and Evaluating Physics-Based Locomotion on Multiple Simulation Platforms
    LocoTest: Deploying and Evaluating Physics-based Locomotion on Multiple Simulation Platforms Stevie Giovanni and KangKang Yin National University of Singapore fstevie,[email protected] Abstract. In the pursuit of pushing active character control into games, we have deployed a generalized physics-based locomotion control scheme to multiple simulation platforms, including ODE, PhysX, Bullet, and Vortex. We first overview the main characteristics of these physics engines. Then we illustrate the major steps of integrating active character controllers with physics SDKs, together with necessary implementation details. We also evaluate and compare the performance of the locomotion control on different simulation platforms. Note that our work only represents an initial attempt at doing such evaluation, and additional refine- ment of the methodology and results can still be expected. We release our code online to encourage more follow-up works, as well as more interactions between the research community and the game development community. Keywords: physics-based animation, simulation, locomotion, motion control 1 Introduction Developing biped locomotion controllers has been a long-time research interest in the Robotics community [3]. In the Computer Animation community, Hodgins and her col- leagues [12, 7] started the many efforts on locomotion control of simulated characters. Among these efforts, the simplest class of locomotion control methods employs re- altime feedback laws for robust balance recovery [12, 7, 14, 9, 4]. Optimization-based control methods, on the other hand, are more mathematically involved, but can incor- porate more motion objectives automatically [10, 8]. Recently, data-driven approaches have become quite common, where motion capture trajectories are referenced to further improve the naturalness of simulated motions [14, 10, 9].
    [Show full text]
  • 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.
    [Show full text]
  • Physics Application Programming Interface
    PHI: Physics Application Programming Interface Bing Tang, Zhigeng Pan, ZuoYan Lin, Le Zheng State Key Lab of CAD&CG, Zhejiang University, Hang Zhou, China, 310027 {btang, zgpan, linzouyan, zhengle}@cad.zju.edu.cn Abstract. In this paper, we propose to design an easy to use physics applica- tion programming interface (PHI) with support for pluggable physics library. The goal is to create physically realistic 3D graphics environments and inte- grate real-time physics simulation into games seamlessly with advanced fea- tures, such as interactive character simulation and vehicle dynamics. The actual implementation of the simulation was designed to be independent, interchange- able and separated from the user interface of the API. We demonstrate the util- ity of the middleware by simulating versatile vehicle dynamics and generating quality reactive human motions. 1 Introduction Each year games become more realistic visually. Current generation graphics cards can produce amazing high-quality visual effects. But visual realism is only half the battle. Physical realism is another half [1]. The impressive capabilities of the latest generation of video game hardware have raised our expectations of not only how digital characters look, but also they behavior [2]. As the speed of the video game hardware increases and the algorithms get refined, physics is expected to play a more prominent role in video games. The long-awaited Half-life 2 impressed the players deeply for the amazing Havok physics engine[3]. The incredible physics engine of the game makes the whole game world believable and natural. Items thrown across a room will hit other objects, which will then react in a very convincing way.
    [Show full text]
  • Program and Book of Abstracts
    20th International Conference on Multimedia in Physics Teaching and Learning Program and Book of Abstracts MPTL 2015 International Conference September 9–11, 2015 at LMU Munich Wed, 9 Sep Thu, 10 Sep Fri, 11 Sep Opening Ceremony Plenary Lecture Plenary Lecture 09:00 - 10:00 Michael Dubson Wouter van Joolingen Plenary Lecture Plenary Lecture Plenary Lecture 10:00 - 11:00 Jochen Schieck Christian Hackenberger David Lowe 11:00 - 11:30 Coffee Break Coffee Break Coffee Break 1A Invited Symposium REP 3A Parallel Session QP 6A Parallel Session SIM/VID 11:30 - 13:00 1B Invited Symposium IWB 3B Parallel Session VRL/MAP 6B Invited Symposium ASS 3C Workshop CAM 6C Workshop MAP Lunch Lunch Closing Ceremony 13:00 - 14:00 2A Invited Symposium VRL 4A Invited Symposium iMP Lunch 2B Invited Symposium ILA 4B Invited Symposum GBL 14:00 - 16:00 4C Parallel Session MM 16:00 - 16:30 Coffee Break Coffee Break Poster Session 5A Invited Symposium QP & 5B Parallel Session ILA 16:30 - 18:30 Welcome Party 5C Workshop VRL Guided Tour Conference Dinner 18:30 - 20:30 20:30 - 23:00 Program and Book of Abstracts European Physical Society 20th International Conference on Multimedia in Physics Teaching and Learning Program and Book of Abstracts MPTL 2015 International Conference September 9–11, 2015 at LMU Munich, Germany Organized by: Multimedia in Physics Teaching and Learning (MPTL) Chair of Physics Education, Faculty of Physics, LMU Munich With the support of: German Research Foundation (DFG) European Physical Society (EPS) – Physics Education Division German Physical
    [Show full text]
  • 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.
    [Show full text]