Guillaume Duceux

  • Citations Per Year
Learn More
We present a mobile robot whose goal is to autonomously explore an unknown indoor environment and to build a semantic map containing high-level information similar to those extracted by humans. This information includes the rooms, their connectivity, the objects they contain and the material of the walls and ground. This robot was developed in order to(More)
This paper demonstrates accurate micropositioning scheme based on a direct visual servoing process. This technique uses only the pure image signal (photometric information) to design the control law. With respect to traditional visual servoing approaches that use geometric visual features (points, lines …), the visual features used in the control law(More)
We present the software architecture of a mobile robot whose goal is to autonomously explore an unknown indoor environment and to build a semantic map containing high-level information. This robot was developed under the Panoramic and Active Camera for Object Mapping (PACOM) project whose goal is to participate in the French exploration and mapping contest(More)
Using laser range finders has shown its efficiency to perform mapping and navigation for mobile robots. However, most of existing methods assume a mostly static world and filter away dynamic aspects while those dynamic aspects are often caused by non-stationary objects which may be important for the robot task. We propose an approach that makes it possible(More)
In MEMS microassembly areas, different methods of automatic focusing are presented in the literature. All these methods have a common point. Thus, the current autofocusing methods for microscopes need to perform a scanning on all the vertical axis of the microscope in order to find the peak corresponding to the focus (sharpen image). Those methods are time(More)
  • 1