Yeonsik Kang

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This paper proposes a path planner for a humanoid robot to enhance its performance in terms of the human-robot interaction perspective. From the human point of view, the proposed method uses the time index that can generate a path that humans feel to be natural. In terms of the robot, the proposed method yields a waypoint-based path, the simplicity of which(More)
— Today, there are increased interest and various efforts in using cognitive architectures to control robotic platforms. Recent advances to essential capabilities in robots contributed to this trend, which tries to meet the increased demand for high-level control mechanisms. The tradition of cognitive architectures aims for general intelligence, and they(More)
— We propose an algorithm of reliable detection of line for unmanned navigation of mobile robots using sensor fusion. To detect the distance and the angle between the robot and the line, we use a vision sensor system and a laser range finder (LRF). Each sensor system runs its own extended Kalman filter (EKF) to estimate the distance and orientation of the(More)
This paper presents a cooperative control software architecture that coordinates a team of multiple humanoid to complete a mission by collaborating with each other. The mission of the humanoid team is decomposed into tasks and distributed to each humanoid to be executed. Each task is described by the proposed humanoid action primitives, which are designed(More)