scholarly journals Application of Path Control Method with Minimum Desired Point Search to NC Milling Machines

2012 ◽  
Vol 48 (12) ◽  
pp. 898-906 ◽  
Author(s):  
Tadashi EGAMI ◽  
Keisuke AMANO
Robotica ◽  
1987 ◽  
Vol 5 (1) ◽  
pp. 45-53 ◽  
Author(s):  
Evgeny Krustev ◽  
Ljubomir Lilov

SUMMARYPath planning a robot arm motion essentially requires that the constraints of the joint variables and the vector of the joint motion rates are taken into account. In order to satisfy the constraints of the joint variables a sliding mode is being employed together with the developed kinematic path control method. The extended form of the kinematic path control method, here proposed, treats simultaneously the constraints of the joint variables and the vector of joint motion rates in path planning a robot arm motion.


2007 ◽  
Vol 73 (732) ◽  
pp. 2238-2245 ◽  
Author(s):  
Yasuhisa TASAKA ◽  
Tadashi EGAMI
Keyword(s):  

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Minghong She ◽  
Liyu Tian

Under the network environment, the traditional control method of underwater Robot path has the disadvantages of low control accuracy, large error, and inefficiency. This paper proposes a novel path control method for underwater Robots based on the NURBS (nonuniform rational B-spline, NURBS) curve fitting method, which utilizes a sensor or camera to detect the static and dynamic obstacles, establishes the kinematics model of underwater Robots, gets the target function of rob shortest path, and analyzes underwater Robot constraints. According to the basic fluid mechanics, the resistance of the underwater Robot is determined. The filter function is used to smooth the process, and the NURBS curve fitting method is applied to control the path of the underwater Robot. Experimental results show that the improved method that proved to be practical is superior to the traditional one in the aspect of control time and accuracy.


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