V-MIN: Efficient reinforcement learning through demonstrations and relaxed reward demands
Using ToF and RGBD cameras for 3D robot perception and manipulation in human environments
Handling high parameter dimensionality in reinforcement learning with dynamic motor primitives
Planning surface cleaning tasks by learning uncertain drag actions outcomes
Robotic leaf probing via segmentation of range data into surface patches
Camera motion estimation by tracking contour deformation: Precision analysis
Monocular object pose computation with the foveal-peripheral camera of the humanoid robot Armar-III
Zoom control to compensate camera translation within a robot egomotion estimation approach