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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 represents passive neural control supported by evolutionary...
Recently, robust estimators are expected in various fields such as signal processing and machine learning. In our previous work, we proposed Evolution Strategy Sample Consensus (ESSAC) as a new robust estimator method and improved a trade off between a calculation time and stability of SAmple Consensus (SAC) algorithms. In this paper, we show several experiments for behavior analysis of ESSAC in order...
Recently, tele-operation using multi-robot system has been discussed from various viewpoints of shared autonomy, intelligent control, formation behaviors, and information visualization. Furthermore, tele-operation systems have been applied to the remote monitoring of dangerous areas for people such as deep seas, nuclear power plants, and disaster-stricken areas. In this paper, we focus on the structured...
Simultaneous localization and mapping (SLAM) is one of important topics in robotics. However, we must consider various intelligent behaviors in SLAM, e.g., the exploration of unknown areas and effective path planning of mobile robots. To realize these intelligent behaviors, we use a multi-resolution map. The multi-resolution map can be updated by the operators suitable to a specific aim. The first...
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