Real-time accurate hand path tracking and joint trajectory planning for industrial robots(Ⅰ)

Previously, researchers raised the accuracy for a robot′s hand to track a specified path in Car-tesian space mainly through increasing the number of knots on the path and the number of the path′s segments, which results in the heavier online computational burden for the robot controller. Aiming at overcoming this drawback, the authors propose a new kind of real-time accurate hand path tracking and joint trajectory planning method. Through selecting some extra knots on the specified hand path by a certain rule and introducing a sinusoidal function to the joint displacement equation of each segment, this method can greatly raise the path tracking accuracy of robot′s hand and does not change the number of the path′s segments. It also does not increase markedly the computational burden of robot controller. The result of simulation indicates that this method is very effective, and has important value in increasing the application of industrial robots.     

Real-time accurate hand path tracking and joint trajectory planning for industrial robots(Ⅱ)

Previously, researchers raised the accuracy for a robot′s hand to track a specified path in Cartesian space mainly through increasing the number of knots on the path and the segments of the path. But, this method resulted in the heavier on-line computational burden for the robot controller. In this paper, aiming at this drawback, the authors propose a new kind of real-time accurate hand path tracking and joint trajectory planning method for robots. Through selecting some extra knots on the specified hand path by a certain rule, which enables the number of knots on each segment to increase from two to four, and through introducing a sinusoidal function and a cosinoidal function to the joint displacement equation of each segment, this method can raise the path tracking accuracy of robot′s hand greatly but does not increase the computational burden of robot controller markedly.     

Real-time accurate hand path tracking and joint trajectory planning for industrial robots(II)

Previously, researchers raised the accuracy for a robot’s hand to track a specified path in Cartesian space mainly through increasing the number of knots on the path and the segments of the path. But, this method resulted in the heavier on-line computational burden for the robot controller. In this paper, aiming at this drawback, the authors propose a new kind of real-time accurate hand path tracking and joint trajectory planning method for robots. Through selecting some extra knots on the specified hand path by a certain rule, which enables the number of knots on each segment to increase from two to four, and through introducing a sinusoidal function and a cosinoidal function to the joint displacement equation of each segment, this method can raise the path tracking accuracy of robot’s hand greatly but does not increase the computational burden of robot controller markedly. Foundation item: Foundation of the Robotics Laboratory, Chinese Academy of Sciences (No: RL200002) Biography of the first author: TAN Guan-zheng, Ph D, professor, born in Oct. 1962, majoring in artificial intelligence, robotics, and automation.     

多UCAV协同打击多目标实时三维航迹规划

为提高无人作战飞机(Unmanned combat aerial vehicle,UCAV)协同实时航迹规划的实时性和可操作性,针对多架UCAV协同执行对地作战任务过程中的协同实时航迹规划问题,提出一种基于自学习策略和Lévy飞行的正弦余弦优化算法(Sine cosine optimization algorithm ...     

Non-smooth environment modeling and global path planning for mobile robots

An Approximate Voronoi Boundary Network is constructed as the environmental model by way of enlarging the obstacle raster. The connectivity of the path network under complex environment is ensured through building the second order Approximate Voronoi Boundary Network after adding virtual obstacles at joint-close grids. This method embodies the network structure of the free area of environment with less nodes, so the complexity of path planning problem is reduced largely. An optimized path for mobile robot under complex environment is obtained through the Genetic Algorithm based on the elitist rule and re-optimized by using the path-tightening method. Since the elitist one has the only authority of crossover, the management of one group becomes simple, which makes for obtaining the optimized path quickly. The Approximate Voronoi Boundary Network has a good tolerance to the imprecise a priori information and the noises of sensors under complex environment. Especially it is robust in dealing with the local     

Minimum-time trajectory planning based on the shortest path for the wheeled mobile robot

Pathplanningforawheeledmobilerobot(WMR)iscurrentlyafieldofresearchactivitywhichfindsappli cationsinindustrialautomationandflexiblemanufactur ingsystems,serviceandmilitary.ManymethodsofpathplanningfortheWMRhavebeenpresented[1,2].How evertheproposedmethodsonlyconsidernon holonomicconstraintsandignorethedynamicsoftheWMR.Inad dition,thetorquelimitconstraintsduetotheboundoftheheat convertedpowerhavenotbeenconsidered.Thus,theplannedpathcannotbeputintopractice.Inthispaper,aminimumtimetrajectorypl…