Interfacing Vision System with Robot for Pick and Place Operation

Author(s):  
R. Lalitha
2021 ◽  
pp. 411-418
Author(s):  
Aditya Mathur ◽  
Chetan Bansal ◽  
Sandeep Chauhan ◽  
Omprakash Yadav

Author(s):  
Zhe Qin ◽  
Xiao-Chu Liu ◽  
Zhuan Zhao

A three-degree-of-freedom Delta parallel manipulator driven by a crank-slider mechanism is proposed. In Cartesian space, a gate-shaped curve is taken as the path of the pick-and-place operation, combining with the inverse kinematics theory of the Delta robot, and a mathematical model of robot statia force transmission is established. The force and the output torque of the robot-driven joint are taken as the main performance indexes, and the value of the crank-slider mechanism applied to Delta robot is further measured. The simulation results show that the delta robot driven by the crank slider mechanism can reduce the force and output torque of the driving joint during the picking and discharging operation, and has good practical application value.


Author(s):  
Shaoping Bai ◽  
Lasse Køgs Andersen ◽  
Carsten Rebbe Mølgaard

This work deals with the design of parallel robots for the generation of pick-and-place operation, or Schönflies motion. The aim is to develop a robot with workspace optimized for fast pick-and-place operations, namely, a robot with a superellipsoidal reachable volume, which suits best for the pick-and-place operations on conveyers, where robots’ working areas are nearly rectangular. In this paper, the kinematics and stiffness modeling of the new robot are presented. A method of stiffness modeling by means of Castigliano’s Theorem is developed. Using the new method, the stiffness of the robot is analyzed. The results are compared with FEA simulation, which shows a good agreement between the results. The method is finally applied to the engineering design of the new robot for enhanced static and dynamic performance.


2006 ◽  
Vol 39 (16) ◽  
pp. 706-712 ◽  
Author(s):  
P.P.H. Verstegen ◽  
J.M.M. Van Gastel ◽  
J.W. Spronck

2018 ◽  
Vol 17 (2) ◽  
pp. 25-29
Author(s):  
Norhaliza Abdul Wahab ◽  
Jeevaniswaran Thangaraj

The paper describes the design of an automation of pick and place operation in contact lens manufacturing. The contact lens pick and place robot is designed so that it replaces operators to pick and place contact lenses from cassette to PS-48 tray automatically. The microcontroller used in this project is Arduino Uno. Solidworks is a software used to create the design before fabrication. Actuators used in this projects are stepper motors due to their high precision in calculating steps to move by the overall system. C programming is used along with Arduino Integrated Development Environment, IDE in programming the movement of the robot.  For this project, the robot is controlled by pressing start and stop button. The automated lens pick and place robot is way better compare to humans since it is capable of reducing cycle time to complete the process by picking 7 lenses simultaneously. Moreover, the lens pick and place robot tend to reduce number of labours and improve the hygiene in contact lenses production. The lens pick and place robot has successfully helped to automate the process in contact lenses manufacturing. The goal of the design have been achieved whereby the robot manage to transfer the lenses from cassette to tray.


Author(s):  
Yo-Seop Hwang ◽  
Longtan Wang ◽  
Dong-Hyuk Lee ◽  
Jang-Myung Lee

2013 ◽  
Vol 37 (3) ◽  
pp. 273-282
Author(s):  
Shiuh-Jer Huang ◽  
Wei-Han Chang ◽  
Janq-Yann Lin

Robotic pick-and-place operation is planned for handling hard objects with on-off control gripper. It does not have force monitoring capability for safe grasping soft objects. Current force/torque sensor is too expensive and difficult to implement. Here, a low cost embedded control structure is designed with distributed FPGA robotic position control and gripper Arduino force control kernels. A model-free intelligent fuzzy sliding mode control strategy is employed to design the position controller of each robotic joint and gripper force controller. Experimental results show that the position and force tracking control errors of this robotic system are less than 1 mm and 0.1 N, respectively for pick-and-place different soft foods.


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