Abstract
Background: In order to enable robots to complete complex tasks, robots are required to have higher intelligence and adaptability. RVSC (Robot Visual Servo Control) is an organic combination of machine vision and servo control and is a complex system with strong coupling and nonlinearity, which improves the performance of robots and provides feasible solutions for solving practical problems in many fields.
Objective: To review the latest development of RVSC methods and provide references for researchers in related fields.
Methods: RVSC related patents and literature were analyzed from the aspects of the algorithm, innovation and application. In addition, the typical RVSC methods are summarized.
Results: This paper analyzes the advantages and disadvantages of various methods in many patents and literature. Moreover, the typical applications, potential problems and future development directions of this field is put forward.
Conclusion: RVSC has better performance than traditional control methods. In addition, it can also be combined with some algorithms or knowledge to improve performance further. But, further improvements of RVSC are needed in the following areas: the convenience of operation, the optimization of trajectory planning, the combination of multiple sensors, etc. Furthermore, more patents of the RVSC also should be invented.
Keywords: Adaptive, machine vision, neural network, optimization, robot, servo control, trajectory planning.
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