Byoung-Kyun Shim

An intelligent control of mobile robot based on voice command

In general, it is possible to estimate the noise by using information on the robots own motions and 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(VRCS) system which can robustly recognize voice by adults and children in noisy environments. We evaluate the VRCS 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 MMSE criteria. Voice activity periods are detected using GMM-based end-point detection.

A robust walking control of humanoid robots for industrial application

This paper describes robust control technology with obstacle avoidance architecture to walk safely around in factory and home environment, and presents methods for path planning and obstacle avoidance for robust walking of the humanoid robot. Solving the problem of obstacle avoidance for a humanoid robot in an unstructured environment is a big challenge, because the robot can easily lose its stability or fall down if it hits or steps on an obstacle. We briefly overview the general software architecture composed of perception, short and long term memory, behavior control, and motion control, and emphasize on our methods for obstacle detection by plane extraction, occupancy grid mapping, and path planning. A main technological target is to autonomously explore and wander around in home environments as well as to communicate with humans.

A travelling control of mobile robot based on sonar sensors

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 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 KHAN-Robo autonomous vehicle, demonstrate the robustness of the proposed method.

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 study on gripping control of robotic hand with ten joints for cooperative working

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 of this research is on a robust grasping control of hand fingers, which consists of a flexible multi-fingered with ten joints.

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 real-time grasping control of hand-fingers with 15 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 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.

A study on robust control of robotic hand with 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.