No abstract

The reproduction of hand movements by a robot remains difficult and conventional learning methods do not allow us to faithfully recreate these movements because it is very difficult when the number of crossing points is very large. Programming by Demonstration gives a better opportunity for solving this problem by tracking the user’s movements with a motion capture system and creating a robotic program to reproduce the performed tasks. This paper presents a Programming by Demonstration system in a trajectory level for the reproduction of hand/tool movement by a manipulator robot; this was realized by tracking the user’s movement with the ArToolkit and reconstructing the trajectories by using the constrained cubic spline. The results obtained with the constrained cubic spline were compared with cubic spline interpolation. Finally the obtained trajectories have been simulated in a virtual environment on the Puma 600 robot.

In this paper we propose a method based on mathematical morphology for a building detection of high spatial resolution urban areas satellite images, our method is unsupervised and does not require any additional data except the image itself. It consists on using several morphological operations such as Hit or Miss Transformation (HMT). The deformation correction and smoothing are used to eliminate the noise. Thereafter we compared our method with two other variants.