In recent years, number of collaborative robots industrial applications has made a significant increasment. Implementation of collaborative robots is a safe and effective way for designing robot-human cooperation systems. Combined with constantly developing artificial intelligence, collaborative systems are actually able to solve complex problems that require some sort of intelligence. For humans, board games are a good example of the visualization of robot intelligence. Such systems require estimation and detection of board and pieces in manipulator workspace, some kind of decision-making algorithms and robot control system to move pieces. The flagship of such systems are chess playing robots. The chess game has a defined and easy to understand set of rules which makes it interesting example of intelligent robotics systems application. In this paper, we present an implementation of collaborative robots for chess playing system which was designed to play against human or another robot. The system is able to track state of the game via camera, calculate the optimal move using implemented decision-making algorithm, detect illegal moves and execute pick-and-place task to physically move pieces. We test the developed system in a real-world setup and provide experimental results documenting the performance of proposed approach.

In this paper the reverse modelling process for mapping and reconstructing the geometric characteristics of element with free-form surfaces as virtual CAD model is described. The basic approach in reverse modelling process in middle range standard parametric 3D modeler such as SolidWorks system is presented. The digitizing process was performed on the coordinate measuring machine. Using surface-solid modelling tools the virtual solid models were created. They are based on prepareing 3D curves from cloud of points as a sectional profiles. As the next step, it is possible to realize various CAx applications based on 3D feature-based model. In our case an abrasive wear of rotor blade was estimated.

The application of the coordination technology in the design of forming operations is regarded. The coordination design method was developed by using hierarchical systems construction and dynamic systems (by M. Mesarovich and Y. Takahara), numeric positional systems, and aed formal model (by S. Novikava). Solid objects being designed and their forming operations were presented in hierarchical form taking under consideration the objectpsilas structure, its external presentation as the unit in environment system and the environment system construction. All the design and control actions are executed by coordinator on its selection, learning and self-organization layers by one of coordination strategy. Theoretical basis description and computer realization of the proposed coordination technology for the exemplary forming tasks solving are also presented in the paper.

The paper presents an approach to design rapid and fluid movements of an universal robot to perform robot writing mimicking both the human kinematics when signing and the trajectory. To perform the task, on-line human signing standards are created first. Robot writing task is performed using these standards after that and robot signatures are acquired as a result. Next, both human and robot signatures are analyzed and compared, and the degree of signatures correlation is defined. Finally, recommendations of robot motion improvement are given.

A method for determining the optimal position of a robotic task within a manipulator’s workspace considering the minimum singularity free paths in joint space in order to achieve a high kinematic performance is presented. The selected performance criterion was the minimization of the joint velocities during task execution under a given end effector velocity. The proposed method is applied to place kinematic tasks for a UR-5 manipulator. Joint speed measurements are compared for the optimal and the “bad” task positions and the results show that at the optimal position, lower joint speeds are exerted during task execution.