There are a large number of high-rise buildings equipped with facades (curtain-walls) in modern cities. These facades must be periodically maintained with manual procedures that are costly and risky. For this reason, the interest in developing and employing service robots for the building maintenance has been increased. Automation and robotics technologies allow safe and environmentally friendly facade cleaning, monitoring, and painting, which also reduce the cost of these tasks. These systems resolve the current safety problems associated with difficult and dangerous access, contributing to a zero injury and fatality working performance. This paper deals with developing a Built-in Facade Maintenance Robot System (BMR) with Docking Station based on vertical climbing mechanism and daughter robot for actual maintenance works.

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This paper gives an in-depth treatment of the modeling and control of a mobile manipulator which consists of a robotic manipulator mounted upon a mobile robot. By neglecting slip of the platform's tires, nonholonomic constraints are introduced into the equations of motion. By considering wheel slip, the assumption of nonholonomic motion is violated. Nonholonomic and dynamic models of a mobile manipulator are developed and compared using the Lagrange -d'Alembert formulation and the Newton-Euler method, respectively. The dynamic model which considers wheel slip incorporates a nonlinear tire friction model. The tracking problem is investigated by using input-output linearization for the nonholonomic model. For the dynamic model, a robust control method based on a matching condition is developed to eliminate the harmful effects of wheel slip, which acts as a disturbance to the system. Then, the effect of wheel slip on the tracking of commanded motion is identified via simulation. The effectiveness of the proposed control algorithm is demonstrated through computer simulation.

Intelligent excavator has four sensors which can detect the length of each cylinder and electronic valves which are used to control flow rate of hydraulic oil electrically. Intelligent excavator is controlled by the information from these sensors and control signals. Using the position control, excavator can work on the programmed path. In this case, controller needs to know how deep the excavator digs the ground in the short working time efficiently. Considering the working time and fuel efficiency, the most efficient work is similar to the work that the experts drive the excavator usually.In this paper, we study the path used by the expert of excavator and then the controller generates the similar path for applying this generated path to the real excavator.