— We present a probabilistic architecture for solving generically the problem of extracting the task constraints through a Programming by Demonstration (PbD) framework and for ge...
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
In this paper we present an interactive method for simulating deformable objects using skeletal constraints. We introduce a two-way coupling of a finite element model and a skelet...
Joachim Georgii, Daniel Lagler, Christian Dick, R&...
We introduce a new approach to mesh an animated implicit surface for rendering. Our contribution is a method which solves stability issues of implicit triangulation, in the scope ...