The parallel manipulator is a kind of robot structure which has the advantages of rigidity, speed, high accuracy and load carrying capability. Six degree of freedom robots have been studied adequately and been used in many engineering domains. Nowadays, low mobility parallel robots have drawn a lots of interest in the area of robot because of its low cost, simple structure and suitability for many situation that requiring low mobility parallel robots. No Precipitation events, as well as earthquakes and avalanches, constitute a relaxation process in a non-equilibrium state that may occur in a wide range of conditions (different number, type, size, intensity and duration of events) and contribute differently to the total amount of precipitation over a region. This high temporal and spatial variability of precipitation is not always totally captured and recorded by the conventional precipitation collectors, such as rain gauges. Specific weather conditions around those types of instrument (evaporation, wind induced turbulence), their relative low sensitivity and insufficient resolution (sparse distribution over the watershed, large or irregular time interval between data capture and recording) make the analysis of light precipitation or single events quite impossible. For many years now, robots are widely used in heavy industries for applications of general positioning devices. However, they do not possess high degree of accuracy and have poor dynamic performance at high-speed conditions. Parallel manipulation is relatively a new field in robotics. As the need of high speed with good accuracy as well as large workspace and low weight the 6-DOF parallel robots are more suitable for measuring the rain and its accurate quantity condition. Therefore the paper examines the simulation and analysis of Hydraulic motion platform for rain sensor in AMESim environment tends to reduce the positioning and orientation errors that often appear in the industry.