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Learning human navigational skill for smart wheelchair.

by Hon Nin Chow. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 79-84). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Organization of the Thesis --- p.3 / Chapter 2 --- Literature Survey --- p.6 / Chapter 2.1 --- Learning-by-Demonstration --- p.6 / Chapter 2.2 --- Neural Networks --- p.7 / Chapter 2.3 --- Navigation Learning --- p.8 / Chapter 2.4 --- Localization --- p.9 / Chapter 2.5 --- Robotic Wheelchair --- p.10 / Chapter 3 --- System Implementation --- p.12 / Chapter 3.1 --- Hardware Platform --- p.12 / Chapter 3.2 --- Software Platform --- p.14 / Chapter 3.3 --- Basic Functionality --- p.15 / Chapter 3.3.1 --- Collision Avoidance --- p.15 / Chapter 3.3.2 --- Wearable Eye-jaw Control Interface --- p.16 / Chapter 4 --- Learning Human Navigational Skill --- p.22 / Chapter 4.1 --- Introduction --- p.22 / Chapter 4.2 --- Problem Formulation --- p.23 / Chapter 4.3 --- Approach --- p.23 / Chapter 4.4 --- Experimental Study --- p.26 / Chapter 4.4.1 --- Settings --- p.26 / Chapter 4.4.2 --- Results --- p.30 / Chapter 4.5 --- Discussions --- p.31 / Chapter 5 --- Learning from Multi-phase Demonstrations --- p.33 / Chapter 5.1 --- Introduction --- p.33 / Chapter 5.2 --- Problem Formulation --- p.34 / Chapter 5.3 --- Approach --- p.35 / Chapter 5.4 --- Experimental Study --- p.35 / Chapter 5.4.1 --- Settings --- p.35 / Chapter 5.4.2 --- Results --- p.37 / Chapter 5.5 --- Evaluation of Learning Performance --- p.37 / Chapter 5.6 --- Discussions --- p.43 / Chapter 6 --- Localization Learning --- p.44 / Chapter 6.1 --- Introduction --- p.44 / Chapter 6.2 --- Problem Formulation --- p.45 / Chapter 6.3 --- Approach --- p.45 / Chapter 6.4 --- Experimental Study --- p.46 / Chapter 6.4.1 --- Settings --- p.46 / Chapter 6.4.2 --- Result 1: Localization Performance --- p.47 / Chapter 6.4.3 --- Result 2: Similar Sensor Patterns in Various Configurations . --- p.53 / Chapter 6.4.4 --- Result 3: Small Variations in Major Dimensions of Environ- mental Feature along the Route --- p.53 / Chapter 6.5 --- Discussions --- p.59 / Chapter 6.5.1 --- Accuracy --- p.59 / Chapter 6.5.2 --- Choices of Sensor-Configuration Mappings --- p.60 / Chapter 7 --- Conclusion --- p.62 / Chapter 7.1 --- Contributions --- p.62 / Chapter 7.2 --- Future Work --- p.65 / Chapter A --- Cascade Neural Network --- p.67 / Chapter B --- Trajectories for the Navigation Learning in Chapter 4 --- p.69 / Chapter C --- Publications Resulted from the Study --- p.78

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324252
Date January 2003
ContributorsChow, Hon Nin., Chinese University of Hong Kong Graduate School. Division of Automation and Computer-Aided Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, xiv, 84 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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