The initial research was done on robot cleaning systems. They will be able to achieve extreme accuracies and repeatability. These robots can be employed for cleaning the floor, windows and even places such as ducts which can be tedious. Recent trends emerge in automated systems for PV module cleaning. PV panels produce less performance when not clean. The aim was to discover the various ways to orient the robot such as to minimize its power requirements and find optimum solution to obtain high output. The first paper talks about duct- cleaning robot purpose due to the pollution of ventilation system in public buildings. The duct-cleaning robot performs well in cleaning work however the cleaning effect is not satisfied at corners and elbows, where the pollution is relatively serious.
The next type of robot was a floor cleaning robot. It can configure into one of seven types of morphology to maximize floor coverage. Development is made to improve and integrate range and bump sensors to enable autonomous navigation in the robot and to study the application of Polyomino tiling theory towards facilitating global path planning. The next paper addresses how an autonomous floor cleaning robot can efficiently cover an area by parallel, meandering lanes. It talks about spatial representation and the method of building a topometric map, and use of panoramic images to represent places by use of nodes. But with only small deviations from the optimal lane distance required for efficient cleaning.
The next paper highlights the design of control system of surface cleaning robot. It provided structural framework of the propulsion control system of the surface robot is designed based on the principle of PWM speed control. A patent for the automatic cleaning system for solar panels consisting of time, detection, perfusion and drive all on the cleaning system gave an idea about individual yet primary component of robot.
This paper addresses the core problem of PV module cleaning systems. It presents the advances made in methods and approaches in self-cleaning such as mechanical method, electrostatic method, super hydrophobic coating method and Super hydrophilic coating method. Future focus in areas such as development of mini robots and spray coating on self-cleaning have been pointed out. This paper points out the efficiency of dry-cleaning of solar panel robot in Saudi Arabia. The experimental tests are talked about three rows were cleaned in different ways, to compare the efficiency of cleaning using the robotic tool with the efficiency of manual cleaning, which is the currently preferred method of cleaning in the region. The efficiency of silicone rubber brush in the three ways are compared as well.
The last paper highlights why robotic systems do not use detergents of liquid ways of cleaning as performance depends on number of factors such as insolation, shade, wind and tilt angle. Also the soiling preventions are focused on to increase energy capture.
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