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At the present time, industrial robots for assembly tasks only constitute a small portion of the annual robot sales. One of the main reasons is that it is difficult for conventional industrial robots to adapt to the complicity and flexibility of assembly processes. Therefore, intelligent industrial robotic systems are attracting more and more attention. However, because of the modeling difficulty...
The process parameters of high precision robotic assembly have to be tuned in order to deal with part variations and system uncertainties. Some methods such as design-of-experiment, artificial neural network and genetic algorithms have been proposed to optimize these parameters offline. However, these parameters have to be retuned for different batches due to part variations, which increases the production...
The small parts assembly process is a complex but necessary task in the modern manufacturing industry. It is not easy to use industrial robots to afford this task because different control modes and coordination algorithms have to be designed and updated periodically to adapt the rapidly changing products. It is desired to improve the conventional robot programming technology. The concept of Learning...
In the high precision robotic assembly processes, the process parameters have to be tuned in order to adapt to variations and satisfy the performance requirements. For complex systems and processes operating in a stochastic environment such as the assembly processes, experiments and evaluations could be costly and low efficiency because of resource utilization, energy consumption, and dedicated labor...
Robot teaching is necessary for the current industrial robot applications. Because work stations have to be stopped to perform teaching processes, the manufacturing efficiency is decreased. In this paper we propose to utilize an uncalibrated vision system mounted on a mobile robot (“Adult” robot) with learning capability to supervise a group of fixed robots (“Child” robots) to accomplish a robot teaching...
In the high precision robotic assembly processes, the process parameters have to be tuned in order to adapt to variations and satisfy the performance requirements. However, because of the modeling difficulty and low efficiency of the existing solutions, this task is usually performed offline. In this paper, an online parameter optimization method is developed. Gaussian Process Regression(GPR) is utilized...
High precision assembly processes using industrial robots require the process parameters to be tuned in order to achieve desired performance such as cycle time and First Time Through (FTT) rate. Some researchers proposed methods such as Design-of-Experiment (DOE) to obtain optimal parameters. However, these methods only discuss how to find the optimal parameters if the part and/or workpiece location...
Industrial robots used to perform assembly tasks are still a small portion of total robot sales each year. One of the main reasons is that it is difficult for conventional industrial robots to adjust to any sort of change. This paper describes the development and implementation of a robotic system to perform an assembly task of inserting a printed circuit board (PCB) into an edge connector socket...
In our previous work, we developed an automated wheel loading system for the trim-and-final assembly in automotive manufacturing. Since the actual system is difficult to set up to evaluate the performance of a wheel loading system, a simulation package should be available to estimate the performance of the system with a chosen robot. This paper presents a method to analyze the performance of a wheel...
The paper aims to develop an automated wheel loading system in the trim-and-final assembly in automotive manufacturing. Currently most of the trim-and-final assemblies are still done manually since the production lines are typically moving randomly. Industrial robots are hardly used to perform any assembly tasks on the randomly changing environments because it is difficult for conventional industrial...
Industrial robots used to perform assembly tasks are still a small portion of total robot sales each year. One of the main reasons is that it is difficult for conventional industrial robots to adjust to any sort of change. Therefore, more intelligent industrial robotic systems are attracting more and more attentions. This paper discusses an intelligent robotics system that performs an assembly process...
Industrial robots can be made compliant to the environment when the control loop gains are reduced, creating a so-called ??soft servo?? capability. This allows industrial robots to be used for assemblies with limited contact requirements. In this paper, we propose an assembly method using soft servo to perform certain assembly tasks where part location errors typically require the use of force control...
This paper presents the recent progress of using robotics in automotive powertain assembly manufacturing processes. After briefly describing force control and vision-guided robot (VGR), we introduce successful implementation of robotic assembly for transmission torque converters, VGR-based engine head assembly, transmission valve body assembly and engine piston installation. Then we discuss other...
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