Won-Jun Hwang

An intelligent motion control of two wheel driving robot based voice recognition

Recently, it is possible to control the motion by the information on the robots 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 the performance of robot control system in a communication robot placed in a real noisy environment. Voice is captured using a wireless microphone. To suppress interference and noise and to attenuate reverberation, we implemented a multi-channel system consisting of an outlier-robust generalized side-lobe canceller technique and a feature-space noise suppression using criteria. Voice activity periods are detected based end-point detection.

A study on robust control of mobile robot by voice command

Generally, it is possible to control the motion by using information on the robots 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 the performance of robot control system in a communication robot placed in a real noisy environment. Voice is captured using a wireless microphone. To suppress interference and noise and to attenuate reverberation, we implemented a multi-channel system consisting of an outlier-robust generalized side-lobe canceller technique and a feature-space noise suppression using criteria. Voice activity periods are detected based end-point detection.

A study on robust motion control of humanoid type robot for cooperative working

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 walking, and the environmental conditions are estimated from these situation. From this information the robot selects the proper motion and overcomes ground irregularities effectively. In order to generate the proper angel of the joint. The performance of the proposed algorithm is verified by simulation and experiments for a 20-DOFs humanoid robot.

A study on grasping control of hand fingers 12 joints

Recently it is very important to control robot hands more compact and integrated 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 of this research is on a flexible grasping control of hand fingers, which consists of a flexible multi-fingered hand-arm system.

A study on travelling control of humanoid type mobile robot with three wheel

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. It should be remarked that, the proposed technique of the nonholonomic constraints are considered in the design of each behavior. Furthermore, in order to improve the capabilities of the intelligent control system and its practical applicability, teleoperation and planned behaviors, together with their combination with reactive ones, have been considered. Experimental results, of an application to control the HMRO-I Robot autonomous vehicle, demonstrate the robustness of the proposed method.

A real-time trajectory control of two driving mobile robot

We propose a new approach to control of mobile robot of trajectory following and fuzzy perception concept with a non-holonomic mobile robot named Robo N. 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. It should be remarked that, the proposed technique of the nonholonomic constraints are considered in the design of each behavior. Furthermore, in order to improve the capabilities of the intelligent control system and its practical applicability, teleoperation and planned behaviors, together with their combination with reactive ones, have been considered. Experimental results, of an application to control the SHH-Robo Robot autonomous vehicle, demonstrate the robustness of the proposed method.

A study on precise control of autonomous driving robot by voice recognition

Generally, it is possible to control the motion by using information on the robots own postures, because a type of motion and gesture produces almost the same pattern of every time. In this paper, we describe a voice recognition control system for robot system which can robustly recognize voice by adults and children in noisy environments. We evaluate the performance of robot control system in a communication robot placed in a real noisy environment. Voice is captured using a wireless microphone. To suppress interference and noise and to attenuate reverberation, we implemented a multi-channel system consisting of an outlier-robust generalized side-lobe canceller technique and a feature-space noise suppression using criteria. Voice activity periods are detected based end-point detection.

A Stable Walking Control of Two Legs Biped Robot

The autonomous mobility for the biped robot M-HUMAN in the home environment is realized base on the development of a small stereo vision system, the recognition of floor and obstacles using plane extraction. The terrain is represented in a robot centric coordinate system without making any structural assumptions about the surrounding world. And the representation of a terrain map based on these observations, robot motion, and the generation of a walking path on the terrain map. We therefore believe, our approach is well suited for many different a home environment where no a priori information about the environment is given. The limitation of our system is that the terrain has to contain enough texture in order to obtain reliable stereo data.

A study on real-time control of mobile robot with two wheel

We propose a new approach to control of mobile robot of trajectory following and fuzzy perception concept with a nonholonomic mobile robot named ROBO-N. 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. It should be remarked that, the proposed technique of the nonholonomic constraints are considered in the design of each behavior. Furthermore, in order to improve the capabilities of the intelligent control system and its practical applicability, teleoperation and planned behaviors, together with their combination with reactive ones, have been considered. Experimental results, of an application to control the ROBO-N Robot autonomous vehicle, demonstrate the robustness of the proposed method.