Qixiang Zhao , Hailemichael Yilma Hailegebrial , Wei Wang , Ke Wen , Lianyu Zheng
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引用次数: 0
Abstract
In smart manufacturing, the precision peg-in-hole assembly under contact-unknown conditions poses a major challenge, which has spurred growing interest in enhancing active compliance in robotic assembly systems. Multi-Degree-of-Freedom (Multi-DOF) compliance provides high adaptability for addressing this assembly challenge. However, problems such as excessive size, insufficient dynamics, and complex jamming mechanisms have emerged. To solve these problems, we propose a jamming-free strategy. This strategy uses a lightweight, compact multi-DOF end-effector with a 3-Prismatic-Revolute-Spherical (3-PRS) parallel configuration, along with an active force control algorithm. The force control result of an absolute mean error of 1 N is observed for a setpoint value of 100 N along the z-axis. Meanwhile, the moments about the x- and y-axis are controlled within an absolute mean error of 0.04 N.mm. With the accurate compliance provided by the proposed force-controlled end-effector, the peg-in-hole operation is considered as a reciprocal transition between a transient one-point contact and a steady two-point jamming. Based on admittance control, a control strategy is designed to transform the two-point jamming into one-point contact, thereby preventing jamming during the precision peg-in-hole operation with significant uncertainties, eliminating the need for repeated positional adjustments during insertion. Experimental results show that the peg can be inserted into different holes with various pose errors and unknown dimensional tolerances. These results validate the rationality of the proposed jamming-free strategy for precision peg-in-hole assembly. The jamming-free peg-in-hole assembly employing a force-controlled parallel end-effector exhibits superior robustness and operational stability when it is applied into a satellite assembling task.
期刊介绍:
The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.