In this paper, a platform is proposed to efficiently design the controller using RecurDyn(Multi-body dynamic analysis software) and SIMULINK. The proposed platform consists of two parts. One is to model the plant's dynamic property using RecurDyn. The other is controller design using SIMULINK. We can implement with co-simulation through the combination of RecurDyn and SIMULINK. This platform enables us to design a controller quickly and efficiently than using only 'Matlab' through the adaptation of RecurDyn that calculate precisely the plant's dynamic property. In this paper, a control target is inverted pendulum system and proposed platform has been verified through the design process for the Fuzzy controller and the control capability of it.

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In this paper, a vector-based topological map is to be built consisting of available directions (moving directions) and the distances between nodes. This map represents the whole environment as a skeleton, using nodes similar to vectors independent of geometrical information of obstacles. To build a vector-based topological map, the following are developed: (a) acquisition of reliable range values using local minimum values, (b) fuzzy inference system (FIS) for extracting available directions, and (c) collision avoidance using virtual Jacobians. First, only local minimum values are used among the range of sensor values in order to decrease the effect of specular reflection and calculate available directions using the FIS. Specially, the number of consequent membership functions is determined as the number of obstacle orientations around a mobile robot, enabling the mobile robot to find available directions independently of the geometrical information of obstacles. Finally, to avoid collisions, a virtual Jacobian method is used because a vector-based topological map does not include the geometrical information about obstacles. The proposed algorithms have been verified in the simulation and implemented on a robot in the real environment.

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