Andreas Fischer

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Human movement is characterized by smoothed trajectories and individual solutions in terms of joint angle configurations. Knowledge about basic strategies and the nature of human motion is essential to transfer human movement characteristics to a humanoid robot. The objective of this study is the inter-individual and intra-individual comparison of movement(More)
— There are two quite different kinds of approaches to the generation of motions for a humanoid robot. The second one attempts to make the robot perform a given task and is thus focused on the accurate movements of the robot's end effectors [18], [19]. In this work, we present a completely new scheme for the motion generation of a humanoid robot called(More)
In robotics research is an increasing need for knowledge about human motions. However humans tend to perceive motion in terms of discrete motion primitives. Most systems use data-driven motion seg-mentation to retrieve motion primitives. Besides that the actual intention and context of the motion is not taken into account. In our work we propose a procedure(More)
An appraisal of human motions and particular motion phases is essential for a good interaction between a human and a humanoid robot. We present a new method for the analysis of human motions and the classification of motion phases. The method allows an automatic composition of a motion model for a complex motion from several elementary models. The(More)
The discovery and optimization of a novel triorganotin(IV) complexes with anti-HCV properties are presented. Organotin(IV) moiety has the ability to bind phosphate group of RNA backbone. The organotin(IV) moiety is bonded with ligands and groups, which are known for inhibiting HCV enzymes. Triorganotin(IV) complexes were synthesized and evaluated for their(More)