Client-server control architecture for a vision-based pick-and-place robot

Author:

Sharan Roneel V1,Onwubolu Godfrey C2

Affiliation:

1. School of Engineering and Physics, University of the South Pacific, Fiji

2. Knowledge Management and Mining, Canada

Abstract

This article presents the software development for a vision-based pick-and-place robot to provide the computational intelligence required for its operation. It follows a client-server control architecture and aims to expand the applications of simply PC-based mechatronics systems to achieve distributed and flexible control through the introduction of a multi-featured and application-suited control unit in the form of a microcontroller as a client to the PC-based server. The system includes a five degree-of-freedom pick-and-place robot whereby a vision system is incorporated in its workspace to identify workpieces with respect to their shape and color. On user specification of the class of workpiece to be manipulated through a graphical user interface, the robot performs the manipulation. A personal computer, operating under the Windows platform, carries out all vision related processing and motion planning for the robot. On request, relevant motion information is communicated through the parallel port of the computer to peripheral interface controller (PIC) microcontroller, which interfaces with the sensing and actuation devices for robot control. The development of the system sees the integration of a number of technologies to achieve a customized control unit including: a vision system, actuation and sensing devices for precise motions, personal computer, microcontroller, and enhanced parallel port. In addition, a layered approach towards software development enables reusability, maintainability, and testability of the system through data abstraction.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HRC for dual-robot intelligent assembly system based on multimodal perception;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2023-04-13

2. Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-Place;Towards Autonomous Robotic Systems;2023

3. Development of a novel mobile robotic system for large-scale manufacturing;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2020-11-17

4. Visual Processing and Classification of items on Moving Conveyor with Pick and Place Robot using PLC;Intelligent Industrial Systems;2017-03

5. A Low-Cost Force Measurement Solution Applicable for Robotic Grippers;Lecture Notes in Electrical Engineering;2014-10-16

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