This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a  connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental questions:  To answer these questions using a , coordinated processes are conducted to extract and exploit cues matching robot’s mental representations to physical entities. These include sensor & actuator modeling, calibration, filtering, and feature extraction for state estimation. This book discusses the following topics in depth: weiterlesen