As the importance of artificial intelligence grows rapidly and emerges as a leader in technology, it is becoming an important variable in the next-generation industrial system along with the robot industry. In this study, a safety system was developed using deep learning technology to provide worker safety in a robot workplace environment. The implemented safety system has multiple cameras installed with various viewing directions to avoid blind spots caused by interference. Workers in various scenario situations were detected, and appropriate robot response scenarios were implemented according to the worker's risk level through IO communication. For human detection, the YOLO algorithm, which is widely used in object detection, was used, and a separate robot class was added and learned to compensate for the problem of misrecognizing the robot as a human. The performance of the implemented system was evaluated by operator detection performance by applying various operator scenarios, and it was confirmed that the safety system operated stably.
These days, the interests on the high speed handling robots are increasing because it is important to get down the unit cost of production to get the price competitiveness. The SCARA robot with simple mechanism is more suitable to implement the high speed robot system as well known. The moving parts of SCARA robot have to be designed for high speed. But the structural analysis is induced by the robot links because they drive in high acceleration and deceleration. In this reason, the structural analysis of the high speed SCARA robot is very important in the design process. In this paper, the study on the structural analysis of a high speed SCARA robot has been done and the research results will be introduced.
The use of industrial robots has been one of the most important innovations in production technology in recent years. It is true that robotic techniques, as applied to hazardous operation in industry, have reduced the risk of injury and occupational disease among workers. However, new types of occupational safety and health risks, associated with unpredictable motion patterns and erratic idle times and serious injuries and deaths have occurred due to operator misperception of these robot design and performance characteristics. This paper provides an overview of ergonomic and safety issues which are important in the design of robotic workspaces. Particularly, this study uses MORT(Management oversight and risk tree analysis)as the system's safety technique applied to robotics.
Recently, development of robot technology has been actively investigated that industrial robots are used in various other fields. However, the interface of the industrial robot is limited to the planned and manipulated path according to the target point and reaching time of the robot arm. Thus, it is not easy to create or change the various paths of the robot arm in other applications, and it is not easy to control the robot so that the robot arm passes the specific point precisely at the desired time during the course of the path. In order to overcome these limitations, this paper proposes a new-media content management platform that can manipulate 6 DOF industrial robot arm using 3D game engine. In this platform, the user can directly generate the motion of the robot arm in the UI based on the 3D game engine, and can drive the robot in real time with the generated motion. The proposed platform was verified using 3D game engine Unity3D and KUKA KR-120 robot.
Static balance of an articulated robot arm at various configurations requires a torque compensating for the gravitational torque of each joint due to the robot mass. Such compensation torque can be provided by a spring-based counterbalance mechanism. However, simple installation of a counterbalance mechanism at each pitch joint does not work because the gravitational torque at each joint is dependent on other joints. In this paper, a 6 DOF industrial robot arm based on the parallelogram for multi-DOF counterbalancing is proposed to cope with this problem. Two passive counterbalance mechanisms are applied to pitch joints, which reduces the required torque at each joint by compensating the gravitational torque. The performance of this mechanism is evaluated experimentally.
We are at the dawn of a new era in which the importance of robots will be evaluated on the basis of not only their functions but also their appearance. Therefore, those manufacturers who continue to develop robots that only offer convenience and do not keep up with the emerging trends might be weeded out from the robot market in the future. This study empirically tested and verified the ways in which the commercial value of wearable robots is enhanced when they are stylishly attired, using user and work environment analysis. For the purpose of this study, a styling development project for wearable robots was undertaken and applied to the actual development of these robots. Based on the results of the study, a new styling process for such robots was established. Those manufacturers who will realize the importance of styling of robots and develop robots using this process shall become the trendsetters in designing stylized robots and lead the robot industry in the future.