Azhar Aulia Saputra

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This paper discusses about adaptive trajectory control applied in motion pattern trajectory of humanoid robot movement. The aim of this research is to increase the stabilization of robot during walking and running. In this research, the control system produced the next step of the trajectory based on the current condition and analyzed the center of gravity(More)
This paper proposes a research about the humanoid robot system stability to the basic movements in playing football (walking, running, and kicking a ball). The system controls the stability of the robot body angle in order to remain in an ideal position, using the hand as a function of the feedback that has been controlled the actuator separately with leg(More)
This paper presents Bézier curve based passive neural control applied in bio-inspired locomotion in order to decrease the computational cost implemented for 4 legged animal robot which has 3 joints in each leg. Neural oscillator model is applied for generating the walking pattern in bio-inspired locomotion. Bézier curve based optimization(More)
One of the problems in neural oscillator based humanoid locomotion is the interconnection structure and its weights. They influence the locomotion performance. This paper proposes an evolutionary algorithm for determining the interconnection structure in humanoid robot locomotion based on neural oscillator. The aim of this paper is to form the(More)
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