2017
Visual Servoing in an Optimization Framework for the Whole-Body Control of Humanoid Robots
RA-L 2017
In this paper, we show that visual servoing can be formulated as an acceleration-resolved, quadratic optimization problem. This allows us to handle visual constraints, such as field of view and occlusion avoidance, as inequalities. Furthermore, it allows us to easily integrate visual servoing tasks