Learn More
Recently, it is possible to control the motion by the information on the robot's own postures, because a type of motion and gesture produces almost the same pattern of noise every time. In this paper, we describe an voice recognition control system for robot system which can robustly recognize voice by adults and children in noisy environments. We evaluate(More)
We present a new technology for real-time walking of a humanoid robot. A humanoid robot necessitates achieving stabilization for real time walking since it has basic problems such as structural stability. In this paper, a robust control algorithm for stable walking is proposed based the ground reaction forces, which are measured using force sensors during(More)
This paper describes the design and real implementation of wall following and fuzzy perception concept with a non-holonomic mobile robot named KHAN-Robo. The main focus of this paper is obtaining a fuzzy perception of the environment in the design of each reactive behavior and solving the problem of behavior combination to implement a fuzzy behavior based(More)
We propose a symbol-aided approach to nonlinear distortion cancellation and data demodulation in self-heterodyne direct conversion (SHDC) receivers for discrete Fourier transform (DFT)-based orthogonal frequency division multiplexing (OFDM) systems. In order to cancel the intermodulation distortion generated at the square-law device output in the receiver,(More)
Recently it is very important to control robot hands more compact and precise sensors in order to increase compensate the grasping capability and to reduce cabling through the finger in the manipulator. As a matter of fact, the miniaturization and cabling harness represents a significant limitation to the design of small sized precise sensor. The main focus(More)
In this paper, we present two kinds of robust control schemes for robot system which has the parametric uncertainties. In order to compensate these uncertainties, we use the neural network control system that has the capability to approximate any nonlinear function over the compact input space. In the proposed control schemes, we need not derive the linear(More)
In this paper, we present two kinds of robust control schemes for robot system which has the parametric uncertainties. In order to compensate these uncertainties, we use the neural network control system that has the capability to approximate any nonlinear function over the compact input space. In the proposed control schemes, we need not derive the linear(More)
We Present a new technique to control of mobile robot for trajectory Tracking based fuzzy perception concept with robot named HMRO-I. The main focus of this paper is obtaining a fuzzy perception of the environment in the design of each reactive behavior and solving the problem of behavior combination to implement a fuzzy behavior based control architecture.(More)
  • 1