This paper suggests a multiple robot simulator which considers the uncertainties in robot motion and sensing. A mobile robot moves with errors due to some kinds of uncertainties from actuators, wheels, electrical components, environments. In addition, sensors attached to a mobile robot can't make accurate output information because of uncertainties of the sensor itself and environment. Uncertainties in robot motion and sensing leads researchers find difficulty in building mobile robot navigation algorithms. Generally, a robot algorithm without considering unexpected uncertainties fails to control its action in a real working environment and it leads to some troubles and damages. Thus, the authors propose a simulator model which includes robot motion and sensing uncertainties to help making robust algorithms. Sensor uncertainties are applied in range sensors which are widely used in mobile robot localization, obstacle detection, and map building. The paper shows performances of the proposed simulator by comparing it with a simulator without any uncertainty.

In this paper, a robotic system which consists of a precision manipulator and a micro gripper for a micro system assembly is presented. By the experiment, we proved that the developed the system gives acceptable performance when minute operations. Developed the micro-nano robot is actuated by newly proposed modular revolute and prismatic actuators. As an end-effector of this system, micro gripper is designed and fabricated with MEMS technology and the displacement of jaw is up to 142.8 micro meter. We think that new robot system will be appropriate for micro system assembly tasks and life science application