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  4. NAO greift - Explorieren und Greifen unbekannter Objekte auf einem performanzlimitierten humanoiden Roboter mit Hilfe vorberechneter Tabellen
 
Zitierlink URN
https://nbn-resolving.de/urn:nbn:de:gbv:46-00105055-15

NAO greift - Explorieren und Greifen unbekannter Objekte auf einem performanzlimitierten humanoiden Roboter mit Hilfe vorberechneter Tabellen

Veröffentlichungsdatum
2016-02-09
Autoren
Müller, Judith  
Betreuer
Frese, Udo  
Gutachter
Gräser, Axel  
Zusammenfassung
Why can't I buy a flower watering robot? No unusual question considering that there are already affordable vacuum cleaner and lawn mower robots available. Thus the next questions are, what requirements must be met by a flower watering robot and does it take a high-priced research robot to do it? As the activity of flower watering contains a variety of difficult tasks this work is concentrated on the intermediate step of autonomously exploring, detecting and grasping an unknown object such as a watering can. In particular, an overall system is introduced that enables this functionality for the performance-limited humanoid robot NAO. Furthermore, the presented system operates online and thus without external computation at runtime. In order to increase the system performance several precomputed tables containing the workspaces of different body parts are used. Moreover, the precomputed workspace constitutes as a central element as it is not only used for motion planning but also for the viewpoint planning. Furthermore, the workspace provides a connection between the very limited degrees of freedom and the need of mobility in reality.
Schlagwörter
exploration

; 

grasping

; 

humanoid robot

; 

NAO

; 

autonomously

; 

motion planning

; 

viewpoint planning

; 

kinematics

; 

laser range finder

; 

depth information

; 

unknown objects
Institution
Universität Bremen  
Fachbereich
Fachbereich 03: Mathematik/Informatik (FB 03)  
Dokumenttyp
Dissertation
Zweitveröffentlichung
Nein
Sprache
Deutsch
Dateien
Lade...
Vorschaubild
Name

00105055-1.pdf

Size

27.04 MB

Format

Adobe PDF

Checksum

(MD5):14a8c8b1d643f3232c48ba3f5b771e94

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