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  • 1
    Online Resource
    Online Resource
    KIT Scientific Publishing
    UID:
    edocfu_9959146084202883
    Format: 1 electronic resource (XIV, 210 p. p.)
    ISBN: 1000031356
    Series Statement: Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
    Content: This thesis is concerned with intention recognition for a humanoid robot and investigates how the challenges of uncertain and incomplete observations, a high degree of detail of the used models, and real-time inference may be addressed by modeling the human rationale as hybrid, dynamic Bayesian networks and performing inference with these models. The key focus lies on the automatic identification of the employed nonlinear stochastic dependencies and the situation-specific inference.
    Note: English
    Additional Edition: ISBN 3-86644-952-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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