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Computer-controlled human body coordination

Thesis (MSc) -- University of Stellenbosch, 2003.

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Bibliographic Details
Main Author: Hakl, Henry
Other Authors: Van Zijl, L.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2012
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access_status_str Open Access
author Hakl, Henry
author2 Van Zijl, L.
author_browse Hakl, Henry
Van Zijl, L.
author_facet Van Zijl, L.
Hakl, Henry
author_sort Hakl, Henry
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MSc) -- University of Stellenbosch, 2003.
format Thesis
id oai:scholar.sun.ac.za:10019.1/49756
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:44:59.428Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2012
publishDateRange 2012
publishDateSort 2012
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/49756 Computer-controlled human body coordination Hakl, Henry Van Zijl, L. Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Robotics Artificial intelligence Human mechanics -- Computer simulation Embedded computer systems Dissertations -- Computer science Thesis (MSc) -- University of Stellenbosch, 2003. ENGLISH ABSTRACT: A need for intelligent robotic machines is identified. Research and experiments have focussed on stable, or relatively stable, dynamic simulated systems to demonstrate the feasibility of embedding advanced AI into dynamic physical systems. This thesis presents an attempt to scale the techniques to a dynamically highly unstable system - the coordination of movements in a humanoid model. Environmental simulation, articulated systems and artificial intelligence methods are identified as three essential layers for a complete and unified approach to embedding AI into robotic machinery. The history of the physics subsystem for this project is discussed, leading to the adoption of the Open Dynamics Engine as the physics simulator of choice. An approach to articulated systems is presented along with the EBNF of a hierarchical articulated system that was used to describe the model. A revised form of evolution is presented and justified. An AI model that makes use of this new evolutionary paradigm is introduced. A variety of AI variants are defined and simulated. The results of these simulations are presented and analysed. Based on these results recommendations for future work are made. AFRIKAANSE OPSOMMING: Die beheer van dinamiese masjiene, soos intelligente robotte, is tans beperk tot fisies stabilie - of relatief stabiele - sisteme. In hierdie tesis word die tegnieke van kunsmatige intelligensie (KI) toegepas op die kontrole en beheer van 'n dinamies hoogs onstabiele sisteem: 'n Humanoïede model. Fisiese simulasie, geartikuleerde sisteme en kunmatige intelligensie metodes word geïdentifiseer as drie noodsaaklike vereistes vir 'n volledige en eenvormige benadering tot KI beheer in robotte. Die implementasie van 'n fisiese simulator word beskryf, en 'n motivering vir die gebruik van die sogenaamde "Open Dynamics Engine" as fisiese simulator word gegee. 'n Benadering tot geartikuleerde sisteme word beskryf, tesame met die EBNF van 'n hierargiese geartikuleerde sisteem wat gebruik is om die model te beskryf. 'n Nuwe interpretasie vir evolusie word voorgestel, wat die basis vorm van 'n KI model wat in die tesis gebruik word. 'n Verskeidenheid van KI variasies word gedefineer en gesimuleer, en die resultate word beskryf en ontleed. Voorstelle vir verdere navorsing word gemaak. 2012-08-27T11:33:04Z 2012-08-27T11:33:04Z 2003-12 Thesis http://hdl.handle.net/10019.1/49756 en_ZA Stellenbosch University 97 p. : ill. application/pdf Stellenbosch : Stellenbosch University
spellingShingle Robotics
Artificial intelligence
Human mechanics -- Computer simulation
Embedded computer systems
Dissertations -- Computer science
Hakl, Henry
Computer-controlled human body coordination
title Computer-controlled human body coordination
title_full Computer-controlled human body coordination
title_fullStr Computer-controlled human body coordination
title_full_unstemmed Computer-controlled human body coordination
title_short Computer-controlled human body coordination
title_sort computer controlled human body coordination
topic Robotics
Artificial intelligence
Human mechanics -- Computer simulation
Embedded computer systems
Dissertations -- Computer science
url http://hdl.handle.net/10019.1/49756
work_keys_str_mv AT haklhenry computercontrolledhumanbodycoordination