This work focuses on vision-based control of motion, with regard to its application in meeting the challenge of developing a ""seeing robot"" that can perceive and react reliably in the complex and unpredictable real world.

Cue Integration for Manipulation; Spatially-Adaptive Filtering in a Model-Based Machine Version Approach to Robust Workpiece Tracking; Incremental Focus of Attention - a Layered Approach to Robust Vision and Control; Integrated Object Models for Robust Visual Tracking; Robust Visual Tracking by Integrating Various Cues; 2D Model-Based Tracking of Complex Shapes for Visual Servoing Tasks; Interaction of Perception and Control for Indoor Exploration; Real Time Image Processing for Image-Based Visual Servoing; Proven Techniques for Robust Visual Servo Control; Global Signatures for Robot Control and Reconstruction; Using Foveated Vision for Robust Object Tracking-3D Horopter Analysis; Evaluation of the Robustness of Visual Behaviours Through Performance Characterization; Robust Image Processing and Position Based Visual Servoing.