There are many characteristics in common in computer vision research and vision research in robotics. For example, the Structure-and-Motion problem in vision has its analog of SLAM (Simultaneous Localization and Mapping) in robotics, visual SLAM being one of the current hot topics. Tracking is another area seeing great interest in both communities, in its many variations, such as 2-D and 3-D tracking, single and multi-object tracking, rigid and deformable object tracking. Other topics of interest for both communities are object and action recognition. Despite having these common interests, however, "pure" computer vision has seen significant theoretical and methodological advances during the last decade which many of the robotics researchers are not fully aware of. On the other hand, the manipulation and control capabilities of robots as well as the range of application areas have developed greatly. In robotics, vision can not be considered an isolated component, but it is instead a part of a system resulting in an action. Thus, in robotics the vision research should include consideration of the control of the system, in other words, the entire perception-action loop. A holistic system approach would then be useful and could provide significant advances in this application domain.