- Language
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Englisch
- ISBN
-
1869-5272
- Identifier
-
1051219523
- Series
-
Technical Report / University of Applied Sciences Bonn-Rhein-Sieg, Department of Computer Science; 03-2008
Subject
Robotik
Contributor
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
26.01.2023, 1:55 PM CET
Object type
- Monografie
Other Objects (12)
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Improving reliability of mobile manipulators against unknown external faults
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Methods for failure detection for mobile manipulation
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Methods for failure detection for mobile manipulation
Active tracking with accelerated image processing in hardware
ProSyWis: Concept and Prototype for Managing Knowledge-Intensive Processes
Geometrical Segmentation of Point Cloud Data by Spectral Analysis
A computational model of robotic surprise
Autonomous exploration and inspection
Autonomous exploration and inspection
XPERSIF: a software integration framework & architecture for robotic learning by experimentation
Improving reliability of mobile manipulators against unknown external faults
Fault reasoning based on naive physics
Methods for failure detection for mobile manipulation
Improving reliability of mobile manipulators against unknown external faults
Methods for failure detection for mobile manipulation
Active tracking with accelerated image processing in hardware
ProSyWis: Concept and Prototype for Managing Knowledge-Intensive Processes
Geometrical Segmentation of Point Cloud Data by Spectral Analysis
A computational model of robotic surprise
Autonomous exploration and inspection
Autonomous exploration and inspection
XPERSIF: a software integration framework & architecture for robotic learning by experimentation
Improving reliability of mobile manipulators against unknown external faults
Fault reasoning based on naive physics
Methods for failure detection for mobile manipulation
Improving reliability of mobile manipulators against unknown external faults
Methods for failure detection for mobile manipulation
Active tracking with accelerated image processing in hardware
ProSyWis: Concept and Prototype for Managing Knowledge-Intensive Processes