Learn More
— The technique of simultaneous localization and mapping is the most important research topic in mobile robotics. In the process of building a map in its available memory, the robot memorizes environmental information on the plane of grid or topology. Several approaches about this technique have been presented so far, but most of them use mapping technique(More)
The technique of simultaneous localization and mapping has received much attention recently in mobile robotics. When map is being built, robot memorizes environmental information on the plane of grid or topology. Several approaches about this research have been presented so far, but most of them use mapping technique as either grid-based map or(More)
In this paper, we propose an electronic ordering and payment system with embedded devices to improve a conventional manned ordering and payment method using a POS system for quick and easy ordering and payment. Embedded devices as thin clients of the proposed system can be placed on each table, and a user can choose a menu and can check his payment from the(More)
The Kalman filtering as a recursive linear estimator is inadequate when applying to non-Gaussian densities and multimodal. Particle Filters sampling in high-dimensional spaces can be inefficient. The use of Rao-Blackwellized particle filters can drastically reduce the size of the space over which we need to sample. In this paper, we proposed an efficient(More)
This study is about the more stable and faster moving system of a biped walking robot on the inclined or crooked surface. Until now, there have been large amount of studies about a biped walking robot, but they are focused mainly on the static stability and intentioned action by external control inputs. So walking stance of almost all human robots stooped(More)
  • 1