Motion Path Planning of Sorting Robot Based on Extended RRT-Connect Algorithm

Author(s):  
Jian Fang ◽  
Kuang Yin ◽  
Hongbin Wang ◽  
Wenxiong Mo ◽  
Tie Zhang ◽  
...  
Keyword(s):  
Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1917
Author(s):  
Lin Chen ◽  
Ziwei Wang ◽  
Yuliang Mo ◽  
Haihong Pan

In this paper, we propose a synchronous cooperative path planning (SCPP) algorithm for the robot and the positioner to process complex space curve workpieces. The specific algorithm design is illustrated by using the intersecting line welding as an example. The robot and positioner are regarded as an 8-degree-of-freedom (DOF) system to plan the whole synchronous cooperative motion path, and the constraint for the Y-axis of the welding torch coordination system is added for solving the intersecting line orientation information. SCPP is used to process the intersecting line. The changes of welding torch orientation and robot joint rotation angles during welding of the intersecting line by using the improved method and compared to the traditional method. The experimental results show that 8-DOF keeps synchronous cooperative in the whole movement. There is no interference happening during the entire cooperative movement and the welding torch’s orientation remains basically unchanged during the welding intersecting line.


2020 ◽  
Vol 10 (3) ◽  
pp. 1135 ◽  
Author(s):  
Mulun Wu ◽  
Shi-Lu Dai ◽  
Chenguang Yang

This paper proposes a novel control system for the path planning of an omnidirectional mobile robot based on mixed reality. Most research on mobile robots is carried out in a completely real environment or a completely virtual environment. However, a real environment containing virtual objects has important actual applications. The proposed system can control the movement of the mobile robot in the real environment, as well as the interaction between the mobile robot’s motion and virtual objects which can be added to a real environment. First, an interactive interface is presented in the mixed reality device HoloLens. The interface can display the map, path, control command, and other information related to the mobile robot, and it can add virtual objects to the real map to realize a real-time interaction between the mobile robot and the virtual objects. Then, the original path planning algorithm, vector field histogram* (VFH*), is modified in the aspects of the threshold, candidate direction selection, and cost function, to make it more suitable for the scene with virtual objects, reduce the number of calculations required, and improve the security. Experimental results demonstrated that this proposed method can generate the motion path of the mobile robot according to the specific requirements of the operator, and achieve a good obstacle avoidance performance.


Author(s):  
Imbaby I. Mahmoud ◽  
May Salama ◽  
Asmaa Abd El Tawab Abd El Hamid

The aim of this chapter is to investigate the hardware (H/W) implementation of Genetic Algorithm (GA) based motion path planning of robot. The potential benefit of using H/W implementation of genetic algorithm is that it allows the use of huge parallelism which is suited to random number generation, crossover, mutation and fitness evaluation. The operation of selection and reproduction are basically problem independent and involve basic string manipulation tasks. The fitness evaluation task, which is problem dependent, however proves a major difficulty in H/W implementation. Another difficulty comes from that designs can only be used for the individual problem their fitness function represents. Therefore, in this work the genetic operators are implemented in H/W, while the fitness evaluation module is implemented in software (S/W). This allows a mixed hardware/software approach to address both generality and acceleration. Moreover, a simple H/W implementation for fitness evaluation of robot motion path planning problem is discussed.


2013 ◽  
Vol 703 ◽  
pp. 181-185 ◽  
Author(s):  
Xiang Rong Xu ◽  
Dong Qing Shi ◽  
Man Lu ◽  
Hao Xu ◽  
Tao Zhou

This paper presents an approach for robot motion path planning in Cartesian space. The motion trajectories are specified by a group of parameter equations in Cartesian coordinates. The time interval [0, is divided into m segments, and the coefficients of polynomial at each segment can be obtained in recursive form. The problem of minimum-time path planning and the determination of m are also studied.


2018 ◽  
Vol 28 (14) ◽  
pp. 1850171 ◽  
Author(s):  
Mahdi Nourian Zavareh ◽  
Fahimeh Nazarimehr ◽  
Karthikeyan Rajagopal ◽  
Sajad Jafari

Many studies have been done on different aspects of biped robots such as motion, path planning, control and stability. Dynamical properties of biped robot on a sloping surface such as equilibria and their stabilities, bifurcations and basin of attraction are investigated in this paper. Basin of attraction is an important property since it can determine the unseen conditions which affect the attractor of the system with multistabilities. By the help of basin of attractions, the paper claims that the strange attractors of compass-gait robot are hidden.


2021 ◽  
Vol 2133 (1) ◽  
pp. 012024
Author(s):  
Weidong Hao ◽  
Chaoquan Tan ◽  
Yulu Sun ◽  
Chuan Zheng ◽  
Jingsen Jin

Abstract This paper proposes a path planning method for grinding excess material after PDC bit repair using industrial robots. Firstly, a 3D scanning instrument is used to obtain point cloud data of the bit to be ground, secondly, this data are imported into Geomagic Studio for processing to obtain the triangular sheet file of the area to be ground. Finally, the software based on MATLAB is used to process the file and calculate the motion path of the robot end-effector. The generated path is imported into ROS for simulation. By comparing the generated path with the grinding area, it was verified that the generated path could be used in actual operation.


2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Ruo-Bin Wang ◽  
Wei-Feng Wang ◽  
Lin Xu ◽  
Jeng-Shyang Pan ◽  
Shu-Chuan Chu

Path planning is one of the hotspots in the research of automotive engineering. Aiming at the issue of robot path planning with the goal of finding a collision-free optimal motion path in an environment with barriers, this study proposes an adaptive parallel arithmetic optimization algorithm (APAOA) with a novel parallel communication strategy. Comparisons with other popular algorithms on 18 benchmark functions are committed. Experimental results show that the proposed algorithm performs better in terms of solution accuracy and convergence speed, and the proposed strategy can prevent the algorithm from falling into a local optimal solution. Finally, we apply APAOA to solve the problem of robot path planning.


Author(s):  
Xiaoyun Liao ◽  
G. Gary Wang

While the bending sequence planning has been intensively studied, design of the motion path of a sheet metal part in the bending operation tends to be ignored by researchers. Because during the bending operation, the space for maneuvering a sheet metal part is very small, collisions between the part and bending tools are likely to occur. When a robot is used to handle the part, the role of an automatic path-planning tool becomes more significant. In this study, an evolutionary pathplanning approach for robot-assisted handling of sheet metal parts in bending is proposed and implemented. The proposed approach globally searches the motion path space to identify feasible paths. Collision detection algorithms based on segment intersection are used to check the feasibility of the generated paths. This method can automatically design feasible handling operations for a robot. A simulation example on a simple “V” shaped part demonstrates that the approach is efficient and practical.


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